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\n  \n 2023\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n Clustering Methods for Vibro-Acoustic Sensing Features as a Potential Approach to Tissue Characterisation in Robot-Assisted Interventions.\n \n \n \n \n\n\n \n Urrutia, R.; Espejo, D.; Evens, N.; Guerra, M.; Sühn, T.; Boese, A.; Hansen, C.; Fuentealba, P.; Illanes, A.; and Poblete, V.\n\n\n \n\n\n\n Sensors, 23(23): 9297. January 2023.\n \n\n\n\n
\n\n\n\n \n \n \"ClusteringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{urrutia_clustering_2023,\n\ttitle = {Clustering {Methods} for {Vibro}-{Acoustic} {Sensing} {Features} as a {Potential} {Approach} to {Tissue} {Characterisation} in {Robot}-{Assisted} {Interventions}},\n\tvolume = {23},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {1424-8220},\n\turl = {https://www.mdpi.com/1424-8220/23/23/9297},\n\tdoi = {10.3390/s23239297},\n\tabstract = {This article provides a comprehensive analysis of the feature extraction methods applied to vibro-acoustic signals (VA signals) in the context of robot-assisted interventions. The primary objective is to extract valuable information from these signals to understand tissue behaviour better and build upon prior research. This study is divided into three key stages: feature extraction using the Cepstrum Transform (CT), Mel-Frequency Cepstral Coefficients (MFCCs), and Fast Chirplet Transform (FCT); dimensionality reduction employing techniques such as Principal Component Analysis (PCA), t-Distributed Stochastic Neighbour Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP); and, finally, classification using a nearest neighbours classifier. The results demonstrate that using feature extraction techniques, especially the combination of CT and MFCC with dimensionality reduction algorithms, yields highly efficient outcomes. The classification metrics (Accuracy, Recall, and F1-score) approach 99\\%, and the clustering metric is 0.61. The performance of the CT–UMAP combination stands out in the evaluation metrics.},\n\tlanguage = {en},\n\tnumber = {23},\n\turldate = {2023-11-21},\n\tjournal = {Sensors},\n\tauthor = {Urrutia, Robin and Espejo, Diego and Evens, Natalia and Guerra, Montserrat and Sühn, Thomas and Boese, Axel and Hansen, Christian and Fuentealba, Patricio and Illanes, Alfredo and Poblete, Victor},\n\tmonth = jan,\n\tyear = {2023},\n\tkeywords = {dimensionality reduction, haptic information, minimally invasive surgery, robot-assisted surgery, surgery augmentation, surgical data science, tissue classification, vibration sensing},\n\tpages = {9297},\n}\n\n
\n
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\n This article provides a comprehensive analysis of the feature extraction methods applied to vibro-acoustic signals (VA signals) in the context of robot-assisted interventions. The primary objective is to extract valuable information from these signals to understand tissue behaviour better and build upon prior research. This study is divided into three key stages: feature extraction using the Cepstrum Transform (CT), Mel-Frequency Cepstral Coefficients (MFCCs), and Fast Chirplet Transform (FCT); dimensionality reduction employing techniques such as Principal Component Analysis (PCA), t-Distributed Stochastic Neighbour Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP); and, finally, classification using a nearest neighbours classifier. The results demonstrate that using feature extraction techniques, especially the combination of CT and MFCC with dimensionality reduction algorithms, yields highly efficient outcomes. The classification metrics (Accuracy, Recall, and F1-score) approach 99%, and the clustering metric is 0.61. The performance of the CT–UMAP combination stands out in the evaluation metrics.\n
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\n \n\n \n \n \n \n \n \n Training of a novel artificial intelligence algorithm on the first online database of laryngeal vessels of the vocal folds using contact endoscopy and narrow band imaging.\n \n \n \n \n\n\n \n Davaris, N.; Esmaeili, N.; Illanes, A.; Boese, A.; Friebe, M.; and Arens, C.\n\n\n \n\n\n\n In pages s–0043–1767006, Congress Center Leipzig, May 2023. \n \n\n\n\n
\n\n\n\n \n \n \"TrainingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{davaris_training_2023,\n\taddress = {Congress Center Leipzig},\n\ttitle = {Training of a novel artificial intelligence algorithm on the first online database of laryngeal vessels of the vocal folds using contact endoscopy and narrow band imaging},\n\turl = {http://www.thieme-connect.de/DOI/DOI?10.1055/s-0043-1767006},\n\tdoi = {10.1055/s-0043-1767006},\n\tlanguage = {en},\n\turldate = {2023-10-30},\n\tauthor = {Davaris, Nikolaos and Esmaeili, Nazila and Illanes, Alfredo and Boese, Axel and Friebe, Michael and Arens, Christoph},\n\tmonth = may,\n\tyear = {2023},\n\tpages = {s--0043--1767006},\n}\n\n
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\n \n\n \n \n \n \n \n Contact Endoscopy - Narrow Band Imaging (CE-NBI) data set for laryngeal lesion assessment.\n \n \n \n\n\n \n Esmaeili, N.; Davaris, N.; Boese, A.; Illanes, A.; Navab, N.; Friebe, M.; and Arens, C.\n\n\n \n\n\n\n Scientific Data, 10(1): 733. October 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{esmaeili_contact_2023,\n\ttitle = {Contact {Endoscopy} - {Narrow} {Band} {Imaging} ({CE}-{NBI}) data set for laryngeal lesion assessment},\n\tvolume = {10},\n\tissn = {2052-4463},\n\tdoi = {10.1038/s41597-023-02629-7},\n\tabstract = {The endoscopic examination of subepithelial vascular patterns within the vocal fold is crucial for clinicians seeking to distinguish between benign lesions and laryngeal cancer. Among innovative techniques, Contact Endoscopy combined with Narrow Band Imaging (CE-NBI) offers real-time visualization of these vascular structures. Despite the advent of CE-NBI, concerns have arisen regarding the subjective interpretation of its images. As a result, several computer-based solutions have been developed to address this issue. This study introduces the CE-NBI data set, the first publicly accessible data set that features enhanced and magnified visualizations of subepithelial blood vessels within the vocal fold. This data set encompasses 11144 images from 210 adult patients with pathological vocal fold conditions, where CE-NBI images are annotated using three distinct label categories. The data set has proven invaluable for numerous clinical assessments geared toward diagnosing laryngeal cancer using Optical Biopsy. Furthermore, given its versatility for various image analysis tasks, we have devised and implemented diverse image classification scenarios using Machine Learning (ML) approaches to address critical clinical challenges in assessing laryngeal lesions.},\n\tlanguage = {eng},\n\tnumber = {1},\n\tjournal = {Scientific Data},\n\tauthor = {Esmaeili, Nazila and Davaris, Nikolaos and Boese, Axel and Illanes, Alfredo and Navab, Nassir and Friebe, Michael and Arens, Christoph},\n\tmonth = oct,\n\tyear = {2023},\n\tpmid = {37865668},\n\tpmcid = {PMC10590430},\n\tpages = {733},\n}\n\n
\n
\n\n\n
\n The endoscopic examination of subepithelial vascular patterns within the vocal fold is crucial for clinicians seeking to distinguish between benign lesions and laryngeal cancer. Among innovative techniques, Contact Endoscopy combined with Narrow Band Imaging (CE-NBI) offers real-time visualization of these vascular structures. Despite the advent of CE-NBI, concerns have arisen regarding the subjective interpretation of its images. As a result, several computer-based solutions have been developed to address this issue. This study introduces the CE-NBI data set, the first publicly accessible data set that features enhanced and magnified visualizations of subepithelial blood vessels within the vocal fold. This data set encompasses 11144 images from 210 adult patients with pathological vocal fold conditions, where CE-NBI images are annotated using three distinct label categories. The data set has proven invaluable for numerous clinical assessments geared toward diagnosing laryngeal cancer using Optical Biopsy. Furthermore, given its versatility for various image analysis tasks, we have devised and implemented diverse image classification scenarios using Machine Learning (ML) approaches to address critical clinical challenges in assessing laryngeal lesions.\n
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\n \n\n \n \n \n \n \n \n Concept of a fully-implantable system to monitor tumor recurrence.\n \n \n \n \n\n\n \n Schaufler, A.; Sanin, A. Y.; Sandalcioglu, I. E.; Hartmann, K.; Croner, R. S.; Perrakis, A.; Wartmann, T.; Boese, A.; Kahlert, U. D.; and Fischer, I.\n\n\n \n\n\n\n Scientific Reports, 13(1): 16362. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"ConceptPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@article{schaufler_concept_2023,\n\ttitle = {Concept of a fully-implantable system to monitor tumor recurrence},\n\tvolume = {13},\n\tcopyright = {2023 Springer Nature Limited},\n\tissn = {2045-2322},\n\turl = {https://www.nature.com/articles/s41598-023-43226-3},\n\tdoi = {10.1038/s41598-023-43226-3},\n\tabstract = {Current treatment for glioblastoma includes tumor resection followed by radiation, chemotherapy, and periodic post-operative examinations. Despite combination therapies, patients face a poor prognosis and eventual recurrence, which often occurs at the resection site. With standard MRI imaging surveillance, histologic changes may be overlooked or misinterpreted, leading to erroneous conclusions about the course of adjuvant therapy and subsequent interventions. To address these challenges, we propose an implantable system for accurate continuous recurrence monitoring that employs optical sensing of fluorescently labeled cancer cells and is implanted in the resection cavity during the final stage of tumor resection. We demonstrate the feasibility of the sensing principle using miniaturized system components, optical tissue phantoms, and porcine brain tissue in a series of experimental trials. Subsequently, the system electronics are extended to include circuitry for wireless energy transfer and power management and verified through electromagnetic field, circuit simulations and test of an evaluation board. Finally, a holistic conceptual system design is presented and visualized. This novel approach to monitor glioblastoma patients is intended to early detect recurrent cancerous tissue and enable personalization and optimization of therapy thus potentially improving overall prognosis.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-09-29},\n\tjournal = {Scientific Reports},\n\tauthor = {Schaufler, Anna and Sanin, Ahmed Y. and Sandalcioglu, I. Erol and Hartmann, Karl and Croner, Roland S. and Perrakis, Aristotelis and Wartmann, Thomas and Boese, Axel and Kahlert, Ulf D. and Fischer, Igor},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {Biomedical engineering, Surgical oncology},\n\tpages = {16362},\n}\n\n
\n
\n\n\n
\n Current treatment for glioblastoma includes tumor resection followed by radiation, chemotherapy, and periodic post-operative examinations. Despite combination therapies, patients face a poor prognosis and eventual recurrence, which often occurs at the resection site. With standard MRI imaging surveillance, histologic changes may be overlooked or misinterpreted, leading to erroneous conclusions about the course of adjuvant therapy and subsequent interventions. To address these challenges, we propose an implantable system for accurate continuous recurrence monitoring that employs optical sensing of fluorescently labeled cancer cells and is implanted in the resection cavity during the final stage of tumor resection. We demonstrate the feasibility of the sensing principle using miniaturized system components, optical tissue phantoms, and porcine brain tissue in a series of experimental trials. Subsequently, the system electronics are extended to include circuitry for wireless energy transfer and power management and verified through electromagnetic field, circuit simulations and test of an evaluation board. Finally, a holistic conceptual system design is presented and visualized. This novel approach to monitor glioblastoma patients is intended to early detect recurrent cancerous tissue and enable personalization and optimization of therapy thus potentially improving overall prognosis.\n
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\n \n\n \n \n \n \n \n \n Audio-based tissue classification - preliminary investigation for a needle procedure.\n \n \n \n \n\n\n \n Serwatka, W.; Heryan, K.; Sorysz, J.; Illanes, A.; Boese, A.; Krombach, G. A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 9(1): 347–350. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Audio-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{serwatka_audio-based_2023,\n\ttitle = {Audio-based tissue classification - preliminary investigation for a needle procedure},\n\tvolume = {9},\n\tcopyright = {De Gruyter expressly reserves the right to use all content for commercial text and data mining within the meaning of Section 44b of the German Copyright Act.},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/html},\n\tdoi = {10.1515/cdbme-2023-1087},\n\tabstract = {Image-guided and minimally invasive procedures still require confirmation on having reached a target. Intraoperative imaging is not always sufficient or conclusive as it comes with artifacts that can come with a certain amount of ambiguity and inaccurate location information. As an alternative to imaging, we want to explore sounds produced by the biopsy needle tip while advancing and interacting with tissue. In this paper, we show that by analyzing vibroacoustic signals acquired at the proximal end of the needle we are able to differentiate the tissue type. In total, 419 audio samples of 5 tissues were acquired and converted to spectrograms used as input to a convolutional neural network. Using this experimental setup we were able to differentiate the tissue types with an F1 score of 71.64\\%. Based on these results we were able to demonstrate the feasibility of our approach, as well as the importance of further experiments to ensure that vibroacoustic sounds produced by the needle tip can be a new navigation method.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-09-22},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Serwatka, Witold and Heryan, Katarzyna and Sorysz, Joanna and Illanes, Alfredo and Boese, Axel and Krombach, Gabrielle A. and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {audio guidance, convolutional neural network, interventional therapy, minimal-invasive procedures, tissue characterization, vibroacoustic signal processing},\n\tpages = {347--350},\n}\n\n
\n
\n\n\n
\n Image-guided and minimally invasive procedures still require confirmation on having reached a target. Intraoperative imaging is not always sufficient or conclusive as it comes with artifacts that can come with a certain amount of ambiguity and inaccurate location information. As an alternative to imaging, we want to explore sounds produced by the biopsy needle tip while advancing and interacting with tissue. In this paper, we show that by analyzing vibroacoustic signals acquired at the proximal end of the needle we are able to differentiate the tissue type. In total, 419 audio samples of 5 tissues were acquired and converted to spectrograms used as input to a convolutional neural network. Using this experimental setup we were able to differentiate the tissue types with an F1 score of 71.64%. Based on these results we were able to demonstrate the feasibility of our approach, as well as the importance of further experiments to ensure that vibroacoustic sounds produced by the needle tip can be a new navigation method.\n
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\n \n\n \n \n \n \n \n \n Laparoscopic surgery augmentation through vibro-acoustic sensing of instrument-tissue interactions.\n \n \n \n \n\n\n \n Esmaeili, N.; Sühn, T.; Illanes, A.; Fischerauer, S.; Boese, A.; Bußhoff, J.; and Datta, R.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 9(1): 630–633. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"LaparoscopicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{esmaeili_laparoscopic_2023,\n\ttitle = {Laparoscopic surgery augmentation through vibro-acoustic sensing of instrument-tissue interactions},\n\tvolume = {9},\n\tcopyright = {De Gruyter expressly reserves the right to use all content for commercial text and data mining within the meaning of Section 44b of the German Copyright Act.},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1158/html},\n\tdoi = {10.1515/cdbme-2023-1158},\n\tabstract = {This paper presents the use of vibro-acoustic sensing to augment laparoscopic surgery procedures by analyzing the signals produced during cutting and palpation tasks on various tissue samples. Vibro-acoustic signals were acquired during an experiment on a dedicated phantom covered in dense foam, where three trocars were inserted into the phantom to place the endoscopic camera and two laparoscopic instruments. The results of the signals analysis demonstrate the potential of this approach for making laparoscopic interactions audible, differentiating between tissue types, and detecting variations in tissue properties. Vibro-acoustic sensing could be a valuable tool for integrating sound into the current clinical workflow for enhancing endoscope video images.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-09-22},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Esmaeili, Nazila and Sühn, Thomas and Illanes, Alfredo and Fischerauer, Sophie and Boese, Axel and Bußhoff, Jana and Datta, Rabi},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {Haptic Information, Laparoscopy, Surgery Augmentation, Vibro-acoustic Sensing},\n\tpages = {630--633},\n}\n\n
\n
\n\n\n
\n This paper presents the use of vibro-acoustic sensing to augment laparoscopic surgery procedures by analyzing the signals produced during cutting and palpation tasks on various tissue samples. Vibro-acoustic signals were acquired during an experiment on a dedicated phantom covered in dense foam, where three trocars were inserted into the phantom to place the endoscopic camera and two laparoscopic instruments. The results of the signals analysis demonstrate the potential of this approach for making laparoscopic interactions audible, differentiating between tissue types, and detecting variations in tissue properties. Vibro-acoustic sensing could be a valuable tool for integrating sound into the current clinical workflow for enhancing endoscope video images.\n
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\n \n\n \n \n \n \n \n \n Towards AI-driven minimally invasive needle interventions.\n \n \n \n \n\n\n \n Spiller, M.; Esmaeili, N.; Sühn, T.; Boese, A.; Friebe, M.; Illanes, A.; and Turial, S.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 9(1): 559–562. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{spiller_towards_2023,\n\ttitle = {Towards {AI}-driven minimally invasive needle interventions},\n\tvolume = {9},\n\tcopyright = {De Gruyter expressly reserves the right to use all content for commercial text and data mining within the meaning of Section 44b of the German Copyright Act.},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1140/html},\n\tdoi = {10.1515/cdbme-2023-1140},\n\tabstract = {The overall complication rate during laparoscopic access is estimated to be as high as 14 \\%. Surgeons have to rely heavily on their experience and haptic perception while inserting the Veress needle or a trocar into the peritoneal cavity. Surgical Audio Guidance (SURAG) is a promising alternative to current techniques. It acquires instrument-born vibroacoustic (VA) waves to track the insertion of the instrument and provide real-time feedback to surgeons. This article presents an initial evaluation of the SURAG technology through two sets of experiments to classify Veress needle events using different AI-models. The results demonstrate the feasibility of using AI for classifying Veress needle events and the potential of the SURAG technology to support surgeons during laparoscopic access and minimally invasive needle interventions in general.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-09-22},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Spiller, Moritz and Esmaeili, Nazila and Sühn, Thomas and Boese, Axel and Friebe, Michael and Illanes, Alfredo and Turial, Salmai},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {Artificial Intelligence, Audio Sensing, Needle Interventions, Surgical Support Systems},\n\tpages = {559--562},\n}\n\n
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\n The overall complication rate during laparoscopic access is estimated to be as high as 14 %. Surgeons have to rely heavily on their experience and haptic perception while inserting the Veress needle or a trocar into the peritoneal cavity. Surgical Audio Guidance (SURAG) is a promising alternative to current techniques. It acquires instrument-born vibroacoustic (VA) waves to track the insertion of the instrument and provide real-time feedback to surgeons. This article presents an initial evaluation of the SURAG technology through two sets of experiments to classify Veress needle events using different AI-models. The results demonstrate the feasibility of using AI for classifying Veress needle events and the potential of the SURAG technology to support surgeons during laparoscopic access and minimally invasive needle interventions in general.\n
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\n \n\n \n \n \n \n \n \n Evaluation of flushing parameters for clear view vascular endoscopy.\n \n \n \n \n\n\n \n Boese, A.; Böckmann, J.; Klebingat, S.; Schwab, R.; and Behme, D.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 9(1): 511–514. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{boese_evaluation_2023,\n\ttitle = {Evaluation of flushing parameters for clear view vascular endoscopy},\n\tvolume = {9},\n\tcopyright = {De Gruyter expressly reserves the right to use all content for commercial text and data mining within the meaning of Section 44b of the German Copyright Act.},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1128/html},\n\tdoi = {10.1515/cdbme-2023-1128},\n\tabstract = {Vascular diseases like aneurysms or atherosclerosis belong to the leading causes of death. For diagnosis and treatment, medical imaging is essential. Standard imaging methods are Ultrasound, X-ray-based Angiography, Computed tomography or Magnet Resonant Imaging. Additionally, Intravascular Ultrasound or Optical Coherence Tomography are available for intravascular imaging. One imaging technique for direct investigation of the inner vessel is vascular endoscopy, also called angioscopy. It is based on the insertion of an optical endoscope into the blood vessel for direct imaging. Dependent on the vessel diameter, these endoscopes have to be very small. Angioscopy can provide valuable information about the condition of the vessel wall and serve for procedure observation or implant assessment. But angioscopy requires the absence of blood for a clear field of view. In prior research, we have already developed methods for the placement of a tiny optical fiber inside a catheter combination. As an essential step toward a clinical study, we now want to evaluate the flushing parameters needed to achieve a clear field of view for the endoscope. The parameters are affected by the blood flow and vessel diameter. We designed a test setup that allows angioscopic examination and the simulation of realistic conditions, such as blood flow and different vessel diameters and that includes a test pattern for image quality assessment.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-09-22},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Böckmann, Julian and Klebingat, Stefan and Schwab, Roland and Behme, Daniel},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {angioscopy, fiber endoscope, image quality comparison, intravascular imaging, vascular endoscopy},\n\tpages = {511--514},\n}\n\n
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\n Vascular diseases like aneurysms or atherosclerosis belong to the leading causes of death. For diagnosis and treatment, medical imaging is essential. Standard imaging methods are Ultrasound, X-ray-based Angiography, Computed tomography or Magnet Resonant Imaging. Additionally, Intravascular Ultrasound or Optical Coherence Tomography are available for intravascular imaging. One imaging technique for direct investigation of the inner vessel is vascular endoscopy, also called angioscopy. It is based on the insertion of an optical endoscope into the blood vessel for direct imaging. Dependent on the vessel diameter, these endoscopes have to be very small. Angioscopy can provide valuable information about the condition of the vessel wall and serve for procedure observation or implant assessment. But angioscopy requires the absence of blood for a clear field of view. In prior research, we have already developed methods for the placement of a tiny optical fiber inside a catheter combination. As an essential step toward a clinical study, we now want to evaluate the flushing parameters needed to achieve a clear field of view for the endoscope. The parameters are affected by the blood flow and vessel diameter. We designed a test setup that allows angioscopic examination and the simulation of realistic conditions, such as blood flow and different vessel diameters and that includes a test pattern for image quality assessment.\n
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\n \n\n \n \n \n \n \n \n Conveyor-based robot allows fast and safe instrument handling in the operating room.\n \n \n \n \n\n\n \n Boese, A.; Yamashita, K.; Wex, C.; and Croner, R.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 9(1): 234–237. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Conveyor-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{boese_conveyor-based_2023,\n\ttitle = {Conveyor-based robot allows fast and safe instrument handling in the operating room},\n\tvolume = {9},\n\tcopyright = {De Gruyter expressly reserves the right to use all content for commercial text and data mining within the meaning of Section 44b of the German Copyright Act.},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1059/html},\n\tdoi = {10.1515/cdbme-2023-1059},\n\tabstract = {According to [1]-[3], the healthcare systems are suffering from severe personnel shortages with a lack of medical care workers, operating room nurses, and surgical technicians. This deficiency will become worse in the upcoming decades. Automatization of highly standardized procedures could be a promising approach to address this issue. We designed a new concept for the automated handover and return of surgical instruments to the surgeon in an operating theater scenario to relieve operating room personnel from their workload. In this setup, the surgical instruments are delivered pre-sorted in an upright position by the sterilization unit in an instrument basket or drum. A single-use, doublelayered, brushy conveyor belt system mounted on a robot arm acts as the connector between pick-position (instrument basket) and individually pre-definable hand-over-position. The system is placed next to the table inside the operation room (OR). Based on voice commands, the conveyor intake moves over to the selected instrument and delivers it to the surgeon in a fast and short motion. After use, the surgeon can feed the instrument into the intake at the handover position and place it back in the instrument basket. The robot arm allows precise maneuvering of the intake and output position. The concept was realized as a minimal-viable product and will be evaluated for further improvement.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-09-22},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Yamashita, Keisuke and Wex, Cora and Croner, Roland},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {Automatization, COBOT, Collaborative robots, Instrument handover, Scrub nurse, Surgery assistant, Surgical technicians, voice command},\n\tpages = {234--237},\n}\n\n
\n
\n\n\n
\n According to [1]-[3], the healthcare systems are suffering from severe personnel shortages with a lack of medical care workers, operating room nurses, and surgical technicians. This deficiency will become worse in the upcoming decades. Automatization of highly standardized procedures could be a promising approach to address this issue. We designed a new concept for the automated handover and return of surgical instruments to the surgeon in an operating theater scenario to relieve operating room personnel from their workload. In this setup, the surgical instruments are delivered pre-sorted in an upright position by the sterilization unit in an instrument basket or drum. A single-use, doublelayered, brushy conveyor belt system mounted on a robot arm acts as the connector between pick-position (instrument basket) and individually pre-definable hand-over-position. The system is placed next to the table inside the operation room (OR). Based on voice commands, the conveyor intake moves over to the selected instrument and delivers it to the surgeon in a fast and short motion. After use, the surgeon can feed the instrument into the intake at the handover position and place it back in the instrument basket. The robot arm allows precise maneuvering of the intake and output position. The concept was realized as a minimal-viable product and will be evaluated for further improvement.\n
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\n \n\n \n \n \n \n \n \n Vibro-acoustic sensing of tissue-instrument-interactions allows a differentiation of biological tissue in computerised palpation.\n \n \n \n \n\n\n \n Sühn, T.; Esmaeili, N.; Spiller, M.; Costa, M.; Boese, A.; Bertrand, J.; Pandey, A.; Lohmann, C.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Computers in Biology and Medicine, 164: 107272. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Vibro-acousticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{suhn_vibro-acoustic_2023,\n\ttitle = {Vibro-acoustic sensing of tissue-instrument-interactions allows a differentiation of biological tissue in computerised palpation},\n\tvolume = {164},\n\tissn = {0010-4825},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0010482523007370},\n\tdoi = {10.1016/j.compbiomed.2023.107272},\n\tabstract = {Background:\nThe shift towards minimally invasive surgery is associated with a significant reduction of tactile information available to the surgeon, with compensation strategies ranging from vision-based techniques to the integration of sensing concepts into surgical instruments. Tactile information is vital for palpation tasks such as the differentiation of tissues or the characterisation of surfaces. This work investigates a new sensing approach to derive palpation-related information from vibration signals originating from instrument-tissue-interactions.\nMethods:\nWe conducted a feasibility study to differentiate three non-animal and three animal tissue specimens based on palpation of the surface. A sensor configuration was mounted at the proximal end of a standard instrument opposite the tissue-interaction point. Vibro-acoustic signals of 1680 palpation events were acquired, and the time-varying spectrum was computed using Continuous-Wavelet-Transformation. For validation, nine spectral energy-related features were calculated for a subsequent classification using linear Support Vector Machine and k-Nearest-Neighbor.\nResults:\nIndicators derived from the vibration signal are highly stable in a set of palpations belonging to the same tissue specimen, regardless of the palpating subject. Differences in the surface texture of the tissue specimens reflect in those indicators and can serve as a basis for differentiation. The classification following a supervised learning approach shows an accuracy of {\\textgreater}93.8\\% for the three-tissue classification tasks and decreases to 78.8\\% for a combination of all six tissues.\nConclusions:\nSimple features derived from the vibro-acoustic signals facilitate the differentiation between biological tissues, showing the potential of the presented approach to provide information related to the interacting tissue. The results encourage further investigation of a yet little-exploited source of information in minimally invasive surgery.},\n\tlanguage = {en},\n\turldate = {2023-08-09},\n\tjournal = {Computers in Biology and Medicine},\n\tauthor = {Sühn, Thomas and Esmaeili, Nazila and Spiller, Moritz and Costa, Maximilian and Boese, Axel and Bertrand, Jessica and Pandey, Ajay and Lohmann, Christoph and Friebe, Michael and Illanes, Alfredo},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {Acoustic emission, Haptic, Machine learning, Mechanical imaging, Minimally invasive surgery, Surgery augmentation, Surgical data science, Tactile information, Tissue classification, Vibration sensing},\n\tpages = {107272},\n}\n\n
\n
\n\n\n
\n Background: The shift towards minimally invasive surgery is associated with a significant reduction of tactile information available to the surgeon, with compensation strategies ranging from vision-based techniques to the integration of sensing concepts into surgical instruments. Tactile information is vital for palpation tasks such as the differentiation of tissues or the characterisation of surfaces. This work investigates a new sensing approach to derive palpation-related information from vibration signals originating from instrument-tissue-interactions. Methods: We conducted a feasibility study to differentiate three non-animal and three animal tissue specimens based on palpation of the surface. A sensor configuration was mounted at the proximal end of a standard instrument opposite the tissue-interaction point. Vibro-acoustic signals of 1680 palpation events were acquired, and the time-varying spectrum was computed using Continuous-Wavelet-Transformation. For validation, nine spectral energy-related features were calculated for a subsequent classification using linear Support Vector Machine and k-Nearest-Neighbor. Results: Indicators derived from the vibration signal are highly stable in a set of palpations belonging to the same tissue specimen, regardless of the palpating subject. Differences in the surface texture of the tissue specimens reflect in those indicators and can serve as a basis for differentiation. The classification following a supervised learning approach shows an accuracy of \\textgreater93.8% for the three-tissue classification tasks and decreases to 78.8% for a combination of all six tissues. Conclusions: Simple features derived from the vibro-acoustic signals facilitate the differentiation between biological tissues, showing the potential of the presented approach to provide information related to the interacting tissue. The results encourage further investigation of a yet little-exploited source of information in minimally invasive surgery.\n
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\n \n\n \n \n \n \n \n \n Vibro-Acoustic Sensing of Instrument Interactions as a Potential Source of Texture-Related Information in Robotic Palpation.\n \n \n \n \n\n\n \n Sühn, T.; Esmaeili, N.; Mattepu, S. Y.; Spiller, M.; Boese, A.; Urrutia, R.; Poblete, V.; Hansen, C.; Lohmann, C. H.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Sensors, 23(6): 3141. January 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Vibro-AcousticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{suhn_vibro-acoustic_2023-1,\n\ttitle = {Vibro-{Acoustic} {Sensing} of {Instrument} {Interactions} as a {Potential} {Source} of {Texture}-{Related} {Information} in {Robotic} {Palpation}},\n\tvolume = {23},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {1424-8220},\n\turl = {https://www.mdpi.com/1424-8220/23/6/3141},\n\tdoi = {10.3390/s23063141},\n\tabstract = {The direct tactile assessment of surface textures during palpation is an essential component of open surgery that is impeded in minimally invasive and robot-assisted surgery. When indirectly palpating with a surgical instrument, the structural vibrations from this interaction contain tactile information that can be extracted and analysed. This study investigates the influence of the parameters contact angle α and velocity v→ on the vibro-acoustic signals from this indirect palpation. A 7-DOF robotic arm, a standard surgical instrument, and a vibration measurement system were used to palpate three different materials with varying α and v→. The signals were processed based on continuous wavelet transformation. They showed material-specific signatures in the time–frequency domain that retained their general characteristic for varying α and v→. Energy-related and statistical features were extracted, and supervised classification was performed, where the testing data comprised only signals acquired with different palpation parameters than for training data. The classifiers support vector machine and k-nearest neighbours provided 99.67\\% and 96.00\\% accuracy for the differentiation of the materials. The results indicate the robustness of the features against variations in the palpation parameters. This is a prerequisite for an application in minimally invasive surgery but needs to be confirmed in realistic experiments with biological tissues.},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2023-03-15},\n\tjournal = {Sensors},\n\tauthor = {Sühn, Thomas and Esmaeili, Nazila and Mattepu, Sandeep Y. and Spiller, Moritz and Boese, Axel and Urrutia, Robin and Poblete, Victor and Hansen, Christian and Lohmann, Christoph H. and Illanes, Alfredo and Friebe, Michael},\n\tmonth = jan,\n\tyear = {2023},\n\tkeywords = {haptic information, machine learning, minimally invasive surgery, robot-assisted surgery, surgery augmentation, surgical data science, tissue classification, vibration sensing},\n\tpages = {3141},\n}\n\n
\n
\n\n\n
\n The direct tactile assessment of surface textures during palpation is an essential component of open surgery that is impeded in minimally invasive and robot-assisted surgery. When indirectly palpating with a surgical instrument, the structural vibrations from this interaction contain tactile information that can be extracted and analysed. This study investigates the influence of the parameters contact angle α and velocity v→ on the vibro-acoustic signals from this indirect palpation. A 7-DOF robotic arm, a standard surgical instrument, and a vibration measurement system were used to palpate three different materials with varying α and v→. The signals were processed based on continuous wavelet transformation. They showed material-specific signatures in the time–frequency domain that retained their general characteristic for varying α and v→. Energy-related and statistical features were extracted, and supervised classification was performed, where the testing data comprised only signals acquired with different palpation parameters than for training data. The classifiers support vector machine and k-nearest neighbours provided 99.67% and 96.00% accuracy for the differentiation of the materials. The results indicate the robustness of the features against variations in the palpation parameters. This is a prerequisite for an application in minimally invasive surgery but needs to be confirmed in realistic experiments with biological tissues.\n
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\n  \n 2022\n \n \n (42)\n \n \n
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\n \n\n \n \n \n \n \n The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.\n \n \n \n\n\n \n Gumbs, A. A.; Grasso, V.; Bourdel, N.; Croner, R.; Spolverato, G.; Frigerio, I.; Illanes, A.; Abu Hilal, M.; Park, A.; and Elyan, E.\n\n\n \n\n\n\n Sensors (Basel, Switzerland), 22(13): 4918. June 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{gumbs_advances_2022,\n\ttitle = {The {Advances} in {Computer} {Vision} {That} {Are} {Enabling} {More} {Autonomous} {Actions} in {Surgery}: {A} {Systematic} {Review} of the {Literature}},\n\tvolume = {22},\n\tissn = {1424-8220},\n\tshorttitle = {The {Advances} in {Computer} {Vision} {That} {Are} {Enabling} {More} {Autonomous} {Actions} in {Surgery}},\n\tdoi = {10.3390/s22134918},\n\tabstract = {This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to one that we previously published in Sensors entitled, "Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?" As opposed to that article that also discussed issues of machine learning, deep learning and natural language processing, this review will delve deeper into the field of CV. Additionally, non-visual forms of data that can aid computerized robots in the performance of more autonomous actions, such as instrument priors and audio haptics, will also be highlighted. Furthermore, the current existential crisis for surgeons, endoscopists and interventional radiologists regarding more autonomy during procedures will be discussed. In summary, this paper will discuss how to harness the power of CV to keep doctors who do interventions in the loop.},\n\tlanguage = {eng},\n\tnumber = {13},\n\tjournal = {Sensors (Basel, Switzerland)},\n\tauthor = {Gumbs, Andrew A. and Grasso, Vincent and Bourdel, Nicolas and Croner, Roland and Spolverato, Gaya and Frigerio, Isabella and Illanes, Alfredo and Abu Hilal, Mohammad and Park, Adrian and Elyan, Eyad},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35808408},\n\tpmcid = {PMC9269548},\n\tkeywords = {Artificial Intelligence, Humans, Surgery, Computer-Assisted, artificial intelligence surgery, autonomous actions, computer vision, deep learning, machine learning},\n\tpages = {4918},\n}\n\n
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\n This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to one that we previously published in Sensors entitled, \"Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?\" As opposed to that article that also discussed issues of machine learning, deep learning and natural language processing, this review will delve deeper into the field of CV. Additionally, non-visual forms of data that can aid computerized robots in the performance of more autonomous actions, such as instrument priors and audio haptics, will also be highlighted. Furthermore, the current existential crisis for surgeons, endoscopists and interventional radiologists regarding more autonomy during procedures will be discussed. In summary, this paper will discuss how to harness the power of CV to keep doctors who do interventions in the loop.\n
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\n \n\n \n \n \n \n \n \n Novel Innovation Design for the Future of Health: Entrepreneurial Concepts for Patient Empowerment and Health Democratization.\n \n \n \n \n\n\n \n Friebe, M.,\n editor.\n \n\n\n \n\n\n\n Springer, November 2022.\n \n\n\n\n
\n\n\n\n \n \n \"NovelPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@book{friebe_novel_2022,\n\ttitle = {Novel {Innovation} {Design} for the {Future} of {Health}: {Entrepreneurial} {Concepts} for {Patient} {Empowerment} and {Health} {Democratization}},\n\tisbn = {978-3-031-08190-3},\n\tshorttitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\turl = {https://doi.org/10.1007/978-3-031-08191-0},\n\tlanguage = {Englisch},\n\tpublisher = {Springer},\n\teditor = {Friebe, Michael},\n\tmonth = nov,\n\tyear = {2022},\n}\n\n
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\n \n\n \n \n \n \n \n \n Health Innovation Design at a University: INKA INNOLAB at Otto-von-Guericke-University.\n \n \n \n \n\n\n \n Fritzsche, H.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 529–536. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HealthPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_health_2022,\n\taddress = {Cham},\n\ttitle = {Health {Innovation} {Design} at a {University}: {INKA} {INNOLAB} at {Otto}-von-{Guericke}-{University}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Health {Innovation} {Design} at a {University}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_42},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Fritzsche, Holger},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_42},\n\tpages = {529--536},\n}\n\n
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\n \n\n \n \n \n \n \n \n Regulatory Issues for Health Innovations.\n \n \n \n \n\n\n \n Boese, A.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 443–450. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"RegulatoryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_regulatory_2022,\n\taddress = {Cham},\n\ttitle = {Regulatory {Issues} for {Health} {Innovations}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_35},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Boese, Axel},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_35},\n\tpages = {443--450},\n}\n\n
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\n \n\n \n \n \n \n \n \n Stanford Biodesign as Base: Empathy and Patient Centricity as the Main Driver.\n \n \n \n \n\n\n \n Fritzsche, H.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 181–188. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"StanfordPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_stanford_2022,\n\taddress = {Cham},\n\ttitle = {Stanford {Biodesign} as {Base}: {Empathy} and {Patient} {Centricity} as the {Main} {Driver}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Stanford {Biodesign} as {Base}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_18},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Fritzsche, Holger},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_18},\n\tpages = {181--188},\n}\n\n
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\n \n\n \n \n \n \n \n \n Innovation Methodology I3 EME: Awareness for Biomedical Engineers.\n \n \n \n \n\n\n \n Fritzsche, H.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 243–249. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"InnovationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_innovation_2022,\n\taddress = {Cham},\n\ttitle = {Innovation {Methodology} {I3} {EME}: {Awareness} for {Biomedical} {Engineers}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Innovation {Methodology} {I3} {EME}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_22},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Fritzsche, Holger},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_22},\n\tpages = {243--249},\n}\n\n
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\n \n\n \n \n \n \n \n \n VPC to BMC to Exponential Canvas: Canvas Interconnectivity for Exponential Scaling.\n \n \n \n \n\n\n \n Heryan, K.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 219–242. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"VPCPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_vpc_2022,\n\taddress = {Cham},\n\ttitle = {{VPC} to {BMC} to {Exponential} {Canvas}: {Canvas} {Interconnectivity} for {Exponential} {Scaling}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {{VPC} to {BMC} to {Exponential} {Canvas}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_21},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Heryan, Katarzyna},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_21},\n\tpages = {219--242},\n}\n\n
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\n \n\n \n \n \n \n \n \n PLH Templates and Principles.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 599–624. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PLHPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_plh_2022,\n\taddress = {Cham},\n\ttitle = {{PLH} {Templates} and {Principles}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_49},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_49},\n\tpages = {599--624},\n}\n\n
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\n \n\n \n \n \n \n \n \n Health Technology Innovation Generation (HTIG) Lecture and Project Classes at AGH University.\n \n \n \n \n\n\n \n Heryan, K.; and Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 507–527. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HealthPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_health_2022-1,\n\taddress = {Cham},\n\ttitle = {Health {Technology} {Innovation} {Generation} ({HTIG}) {Lecture} and {Project} {Classes} at {AGH} {University}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_41},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Heryan, Katarzyna and Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_41},\n\tpages = {507--527},\n}\n\n
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\n \n\n \n \n \n \n \n \n Reverse Innovation: Circumvent Digital Health Transformation Issues.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 485–495. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ReversePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_reverse_2022,\n\taddress = {Cham},\n\ttitle = {Reverse {Innovation}: {Circumvent} {Digital} {Health} {Transformation} {Issues}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Reverse {Innovation}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_39},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_39},\n\tpages = {485--495},\n}\n\n
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\n \n\n \n \n \n \n \n \n A Primer on Patents and IP for Health Innovations.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 465–475. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_primer_2022,\n\taddress = {Cham},\n\ttitle = {A {Primer} on {Patents} and {IP} for {Health} {Innovations}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_37},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_37},\n\tpages = {465--475},\n}\n\n
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\n \n\n \n \n \n \n \n \n Health Start-Up: Create Impact and be Investment Ready Intra- and Entre-Preneurs.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 431–441. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HealthPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_health_2022-2,\n\taddress = {Cham},\n\ttitle = {Health {Start}-{Up}: {Create} {Impact} and be {Investment} {Ready} {Intra}- and {Entre}-{Preneurs}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Health {Start}-{Up}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_34},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_34},\n\tpages = {431--441},\n}\n\n
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\n \n\n \n \n \n \n \n \n Purpose Launchpad Health: Exploration and Evaluation Phases—Actual Case Studies.\n \n \n \n \n\n\n \n Friebe, M.; and Morbach, O.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 315–356. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PurposePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_purpose_2022,\n\taddress = {Cham},\n\ttitle = {Purpose {Launchpad} {Health}: {Exploration} and {Evaluation} {Phases}—{Actual} {Case} {Studies}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Purpose {Launchpad} {Health}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_27},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael and Morbach, Oliver},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_27},\n\tpages = {315--356},\n}\n\n
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\n \n\n \n \n \n \n \n \n Purpose Launchpad Health (PLH) Methodology Introduction.\n \n \n \n \n\n\n \n Friebe, M.; Hitzbleck, J.; Wiedemann, D.; and Morbach, O.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 299–311. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PurposePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_purpose_2022-1,\n\taddress = {Cham},\n\ttitle = {Purpose {Launchpad} {Health} ({PLH}) {Methodology} {Introduction}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_26},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael and Hitzbleck, Julia and Wiedemann, Dietmar and Morbach, Oliver},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_26},\n\tpages = {299--311},\n}\n\n
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\n \n\n \n \n \n \n \n \n Case Studies Used Throughout the Book: Innovation Categories Explained.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 285–292. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"CasePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_case_2022,\n\taddress = {Cham},\n\ttitle = {Case {Studies} {Used} {Throughout} the {Book}: {Innovation} {Categories} {Explained}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Case {Studies} {Used} {Throughout} the {Book}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_24},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_24},\n\tpages = {285--292},\n}\n\n
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\n \n\n \n \n \n \n \n \n Purpose Launchpad Methodology: Introduction.\n \n \n \n \n\n\n \n Morbach, O.; and Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 189–205. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"PurposePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_purpose_2022-2,\n\taddress = {Cham},\n\ttitle = {Purpose {Launchpad} {Methodology}: {Introduction}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Purpose {Launchpad} {Methodology}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_19},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Morbach, Oliver and Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_19},\n\tpages = {189--205},\n}\n\n
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\n \n\n \n \n \n \n \n \n (Digital) Patient Journey and Empowerment: Digital Twin.\n \n \n \n \n\n\n \n Böhler, D.; and Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 169–178. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"(Digital)Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_digital_2022,\n\taddress = {Cham},\n\ttitle = {({Digital}) {Patient} {Journey} and {Empowerment}: {Digital} {Twin}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {({Digital}) {Patient} {Journey} and {Empowerment}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_17},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Böhler, Dominik and Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_17},\n\tpages = {169--178},\n}\n\n
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\n \n\n \n \n \n \n \n \n Prevention, Prediction, Personalization, and Participation as Key Components in Future Health.\n \n \n \n \n\n\n \n Barbazzeni, B.; and Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 147–152. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Prevention,Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_prevention_2022,\n\taddress = {Cham},\n\ttitle = {Prevention, {Prediction}, {Personalization}, and {Participation} as {Key} {Components} in {Future} {Health}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_14},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Barbazzeni, Beatrice and Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_14},\n\tpages = {147--152},\n}\n\n
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\n \n\n \n \n \n \n \n \n Health Innovation Process: Definitions and Short Methodology Introductions.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 135–146. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HealthPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_health_2022-3,\n\taddress = {Cham},\n\ttitle = {Health {Innovation} {Process}: {Definitions} and {Short} {Methodology} {Introductions}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Health {Innovation} {Process}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_13},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_13},\n\tpages = {135--146},\n}\n\n
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\n \n\n \n \n \n \n \n \n Healthcare the Melting Pot of Technology, Humanity, and Confusion.\n \n \n \n \n\n\n \n Epping, P.; and Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 111–125. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HealthcarePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_healthcare_2022,\n\taddress = {Cham},\n\ttitle = {Healthcare the {Melting} {Pot} of {Technology}, {Humanity}, and {Confusion}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_11},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Epping, Paul and Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_11},\n\tpages = {111--125},\n}\n\n
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\n \n\n \n \n \n \n \n \n Exponential Technologies for an Exponential Medicine.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 63–70. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ExponentialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_exponential_2022,\n\taddress = {Cham},\n\ttitle = {Exponential {Technologies} for an {Exponential} {Medicine}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_6},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_6},\n\tpages = {63--70},\n}\n\n
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\n \n\n \n \n \n \n \n \n Navigating Towards a Future of “One Health”.\n \n \n \n \n\n\n \n von Blanquet, H. M.; and Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 51–59. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"NavigatingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_navigating_2022,\n\taddress = {Cham},\n\ttitle = {Navigating {Towards} a {Future} of “{One} {Health}”},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_5},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {von Blanquet, Henri Michael and Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_5},\n\tpages = {51--59},\n}\n\n
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\n \n\n \n \n \n \n \n \n Future Look on Health: Opportunities.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 33–49. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"FuturePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_future_2022,\n\taddress = {Cham},\n\ttitle = {Future {Look} on {Health}: {Opportunities}},\n\tisbn = {9783031081903 9783031081910},\n\tshorttitle = {Future {Look} on {Health}},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_4},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_4},\n\tpages = {33--49},\n}\n\n
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\n \n\n \n \n \n \n \n \n From SICKCARE to HEALTHCARE to HEALTH.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 23–32. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"FromPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{friebe_sickcare_2022,\n\taddress = {Cham},\n\ttitle = {From {SICKCARE} to {HEALTHCARE} to {HEALTH}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_3},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_3},\n\tpages = {23--32},\n}\n\n
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\n \n\n \n \n \n \n \n \n Health Innovations from an Innovators’ Perspective.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 13–21. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HealthPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_health_2022-4,\n\taddress = {Cham},\n\ttitle = {Health {Innovations} from an {Innovators}’ {Perspective}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_2},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_2},\n\tpages = {13--21},\n}\n\n
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\n \n\n \n \n \n \n \n \n INNOVATION DESIGN for the FUTURE of HEALTH.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Friebe, M., editor(s), Novel Innovation Design for the Future of Health, pages 3–12. Springer International Publishing, Cham, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"INNOVATIONPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@incollection{friebe_innovation_2022-1,\n\taddress = {Cham},\n\ttitle = {{INNOVATION} {DESIGN} for the {FUTURE} of {HEALTH}},\n\tisbn = {9783031081903 9783031081910},\n\turl = {https://link.springer.com/10.1007/978-3-031-08191-0_1},\n\tlanguage = {en},\n\turldate = {2022-12-14},\n\tbooktitle = {Novel {Innovation} {Design} for the {Future} of {Health}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Friebe, Michael},\n\teditor = {Friebe, Michael},\n\tyear = {2022},\n\tdoi = {10.1007/978-3-031-08191-0_1},\n\tpages = {3--12},\n}\n\n
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\n \n\n \n \n \n \n \n \n Towards Identification of Biometric Properties in Blood Flow Sounds Using Neural Networks and Saliency Maps.\n \n \n \n \n\n\n \n Henze, J.; Fuentealba, P.; Salvi, R.; Sahare, N.; Bisgin, P.; Burmann, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(2): 540–543. August 2022.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{henze_towards_2022,\n\ttitle = {Towards {Identification} of {Biometric} {Properties} in {Blood} {Flow} {Sounds} {Using} {Neural} {Networks} and {Saliency} {Maps}},\n\tvolume = {8},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1138/html},\n\tdoi = {10.1515/cdbme-2022-1138},\n\tabstract = {In previous work, we demonstrated the potential of blood flow sounds for biometric authentication acquired by a custom-built auscultation device. For this purpose, we calculated the frequency spectrum for each cardiac cycle represented within the measurements based on continuous wavelet transform. The resulting spectral images were used to train a convolutional neural network based on measurements from seven users. In this work, we investigate which areas of those images are relevant for the network to correctly identify a user. Since they describe the frequencies’ energy within a cardiac cycle, this information can be used to gain knowledge on biometric properties within the signal. Therefore, we calculate the saliency maps for each input image and investigate their mean for each user, opening perspectives for further investigation of the spectral information that was found to be potentially relevant.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-12-14},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Henze, Jasmin and Fuentealba, Patricio and Salvi, Rutuja and Sahare, Natasha and Bisgin, Pinar and Burmann, Anja and Illanes, Alfredo and Friebe, Michael},\n\tmonth = aug,\n\tyear = {2022},\n\tkeywords = {biometry, blood flow sounds, continuous wavelet transform, convolutional neural networks, saliency maps},\n\tpages = {540--543},\n}\n\n
\n
\n\n\n
\n In previous work, we demonstrated the potential of blood flow sounds for biometric authentication acquired by a custom-built auscultation device. For this purpose, we calculated the frequency spectrum for each cardiac cycle represented within the measurements based on continuous wavelet transform. The resulting spectral images were used to train a convolutional neural network based on measurements from seven users. In this work, we investigate which areas of those images are relevant for the network to correctly identify a user. Since they describe the frequencies’ energy within a cardiac cycle, this information can be used to gain knowledge on biometric properties within the signal. Therefore, we calculate the saliency maps for each input image and investigate their mean for each user, opening perspectives for further investigation of the spectral information that was found to be potentially relevant.\n
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\n \n\n \n \n \n \n \n Engaging Through Awareness: Purpose-Driven Framework Development to Evaluate and Develop Future Business Strategies With Exponential Technologies Toward Healthcare Democratization.\n \n \n \n\n\n \n Barbazzeni, B.; Haider, S.; and Friebe, M.\n\n\n \n\n\n\n Frontiers in Public Health, 10: 851380. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{barbazzeni_engaging_2022,\n\ttitle = {Engaging {Through} {Awareness}: {Purpose}-{Driven} {Framework} {Development} to {Evaluate} and {Develop} {Future} {Business} {Strategies} {With} {Exponential} {Technologies} {Toward} {Healthcare} {Democratization}},\n\tvolume = {10},\n\tissn = {2296-2565},\n\tshorttitle = {Engaging {Through} {Awareness}},\n\tdoi = {10.3389/fpubh.2022.851380},\n\tabstract = {Industry 4.0 and digital transformation will likely come with an era of changes for most manufacturers and tech industries, and even healthcare delivery will likely be affected. A few trends are already foreseeable such as an increased number of patients, advanced technologies, different health-related business models, increased costs, revised ethics, and regulatory procedures. Moreover, cybersecurity, digital invoices, price transparency, improving patient experience, management of big data, and the need for a revised education are challenges in response to digital transformation. Indeed, forward-looking innovation about exponential technologies and their effect on healthcare is now gaining momentum. Thus, we developed a framework, followed by an online survey, to investigate key areas, analyze and visualize future-oriented developments concerning technologies and innovative business models while attempting to translate visions into a strategy toward healthcare democratization. When forecasting the future of health in a short and long-term perspective, results showed that digital healthcare, data management, electronics, and sensors were the most common predictions, followed by artificial intelligence in clinical diagnostic and in which hospitals and homes would be the places of primary care. Shifting from a reactive to a proactive digital ecosystem, the focus on prevention, quality, and faster care accessibility are the novel value propositions toward democratization and digitalization of patient-centered services. Longevity will translate into increased neurodegenerative, chronic diseases, and mental illnesses, becoming severe issues for a future healthcare setup. Besides, data privacy, big data management, and novel regulatory procedures were considered as potential problems resulting from digital transformation. However, a revised education is needed to address these issues while preparing future health professionals. The "P4 of health", a novel business model that is outcome-based oriented, awareness and acceptance of technologies to support public health, a different mindset that is proactive and future-oriented, and an interdisciplinary setting to merge clinical and technological advances would be key to a novel healthcare ecosystem. Lastly, based on the developed framework, we aim to conduct regular surveys to capture up-to-date technological trends, sustainable health-related business models, and interdependencies. The engagement of stakeholders through awareness and participation is the key to recognizing and improving healthcare needs and services.},\n\tlanguage = {eng},\n\tjournal = {Frontiers in Public Health},\n\tauthor = {Barbazzeni, Beatrice and Haider, Sultan and Friebe, Michael},\n\tyear = {2022},\n\tpmid = {35692334},\n\tpmcid = {PMC9174566},\n\tkeywords = {Artificial Intelligence, Delivery of Health Care, Ecosystem, Hospitals, Humans, Industry 4.0, Innovation Think Tank, Mental Disorders, artificial intelligence, disruptive technologies, healthcare democratization, innovation, patient-centric, revised education},\n\tpages = {851380},\n}\n\n
\n
\n\n\n
\n Industry 4.0 and digital transformation will likely come with an era of changes for most manufacturers and tech industries, and even healthcare delivery will likely be affected. A few trends are already foreseeable such as an increased number of patients, advanced technologies, different health-related business models, increased costs, revised ethics, and regulatory procedures. Moreover, cybersecurity, digital invoices, price transparency, improving patient experience, management of big data, and the need for a revised education are challenges in response to digital transformation. Indeed, forward-looking innovation about exponential technologies and their effect on healthcare is now gaining momentum. Thus, we developed a framework, followed by an online survey, to investigate key areas, analyze and visualize future-oriented developments concerning technologies and innovative business models while attempting to translate visions into a strategy toward healthcare democratization. When forecasting the future of health in a short and long-term perspective, results showed that digital healthcare, data management, electronics, and sensors were the most common predictions, followed by artificial intelligence in clinical diagnostic and in which hospitals and homes would be the places of primary care. Shifting from a reactive to a proactive digital ecosystem, the focus on prevention, quality, and faster care accessibility are the novel value propositions toward democratization and digitalization of patient-centered services. Longevity will translate into increased neurodegenerative, chronic diseases, and mental illnesses, becoming severe issues for a future healthcare setup. Besides, data privacy, big data management, and novel regulatory procedures were considered as potential problems resulting from digital transformation. However, a revised education is needed to address these issues while preparing future health professionals. The \"P4 of health\", a novel business model that is outcome-based oriented, awareness and acceptance of technologies to support public health, a different mindset that is proactive and future-oriented, and an interdisciplinary setting to merge clinical and technological advances would be key to a novel healthcare ecosystem. Lastly, based on the developed framework, we aim to conduct regular surveys to capture up-to-date technological trends, sustainable health-related business models, and interdependencies. The engagement of stakeholders through awareness and participation is the key to recognizing and improving healthcare needs and services.\n
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\n \n\n \n \n \n \n \n The PLH - Purpose Launchpad Health - Meta-Methodology to Explore Problems and Evaluate Solutions for Biomedical Engineering Impact Creation.\n \n \n \n\n\n \n Friebe, M. H.; Fritzsche, H.; Morbach, O.; and Heryan, K.\n\n\n \n\n\n\n In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 3299–3302, July 2022. \n ISSN: 2694-0604\n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@inproceedings{friebe_plh_2022-1,\n\ttitle = {The {PLH} - {Purpose} {Launchpad} {Health} - {Meta}-{Methodology} to {Explore} {Problems} and {Evaluate} {Solutions} for {Biomedical} {Engineering} {Impact} {Creation}},\n\tdoi = {10.1109/EMBC48229.2022.9871218},\n\tabstract = {Healthcare Innovation ideas originating from biomedical engineering departments are rarely based on a deep understanding of a problem, but are often based on coming up with an engineering solution that does not meet an Unmet Clinical Need, is too complicated, bulky, costly, and does not consider global developments. For an impactful innovation design it is essential however to properly understand the clinical issues, forward project the effect of exponential technologies and other global developments. Health and healthcare are in need of disruptive ideas for preventive, predictive, personalised solutions that engage the individuals to pave the way towards real healthcare. We have adapted a novel meta-methodology for dedicated use with health related applications and have used it validating start-up ideas and also during a semester long lecture/seminar classroom setup with amazing results. Clinical Relevance - This novel health dedicated meta-methodology is dependent on interdisciplinary team and innovation work and heavily relies on a good understanding of the current clinical processes and needs as well as on a future projection of global health delivery developments. The clinical perspective is essential and meaning- and impactful innovation can only be developed validating desirability feasibility and viability which needs clinical- engineering/technical-as well as economic expertise.},\n\tbooktitle = {2022 44th {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} \\& {Biology} {Society} ({EMBC})},\n\tauthor = {Friebe, Michael H. and Fritzsche, Holger and Morbach, Oliver and Heryan, Katerzyna},\n\tmonth = jul,\n\tyear = {2022},\n\tnote = {ISSN: 2694-0604},\n\tkeywords = {Biology, Biomedical engineering, Economics, Medical services, Prototypes, Space cooling, Technological innovation},\n\tpages = {3299--3302},\n}\n\n
\n
\n\n\n
\n Healthcare Innovation ideas originating from biomedical engineering departments are rarely based on a deep understanding of a problem, but are often based on coming up with an engineering solution that does not meet an Unmet Clinical Need, is too complicated, bulky, costly, and does not consider global developments. For an impactful innovation design it is essential however to properly understand the clinical issues, forward project the effect of exponential technologies and other global developments. Health and healthcare are in need of disruptive ideas for preventive, predictive, personalised solutions that engage the individuals to pave the way towards real healthcare. We have adapted a novel meta-methodology for dedicated use with health related applications and have used it validating start-up ideas and also during a semester long lecture/seminar classroom setup with amazing results. Clinical Relevance - This novel health dedicated meta-methodology is dependent on interdisciplinary team and innovation work and heavily relies on a good understanding of the current clinical processes and needs as well as on a future projection of global health delivery developments. The clinical perspective is essential and meaning- and impactful innovation can only be developed validating desirability feasibility and viability which needs clinical- engineering/technical-as well as economic expertise.\n
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\n \n\n \n \n \n \n \n \n Home Monitoring of the Carotid Arteries Using a Mobile Auscultation Device with App: An Overview of the Needs and Concerns of Potential Users.\n \n \n \n \n\n\n \n Müller, I.; Henze, J.; Burmann, A.; Salvi, R.; Friebe, M.; and Baum, R.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(2): 544–547. August 2022.\n \n\n\n\n
\n\n\n\n \n \n \"HomePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{muller_home_2022,\n\ttitle = {Home {Monitoring} of the {Carotid} {Arteries} {Using} a {Mobile} {Auscultation} {Device} with {App}: {An} {Overview} of the {Needs} and {Concerns} of {Potential} {Users}},\n\tvolume = {8},\n\tissn = {2364-5504},\n\tshorttitle = {Home {Monitoring} of the {Carotid} {Arteries} {Using} a {Mobile} {Auscultation} {Device} with {App}},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1139/html},\n\tdoi = {10.1515/cdbme-2022-1139},\n\tabstract = {Cerebrovascular diseases like atherosclerosis pose a great threat to health and wellbeing of people worldwide. To enable early diagnosis and treatment of a gradually progressing occlusion of the carotid arteries, we propose the BODYTUNE system. Consisting of a custom-built auscultation device and a mobile application, it aims at enabling the monitoring of the blood flow within the carotid arteries on a regular basis at home. In this work, we present the results of a survey with 65 participants from the system target group to investigate aspects like technical affinity and experience with comparable systems. These results provide the basis on how the BODYTUNE system should be designed to be user-centered, concerns.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-12-14},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Müller, Inga and Henze, Jasmin and Burmann, Anja and Salvi, Rutuja and Friebe, Michael and Baum, Rainer},\n\tmonth = aug,\n\tyear = {2022},\n\tkeywords = {Auscultation, Carotid Arteries, Digital Health, Home Monitoring, Survey, User-Centered Design},\n\tpages = {544--547},\n}\n\n
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\n Cerebrovascular diseases like atherosclerosis pose a great threat to health and wellbeing of people worldwide. To enable early diagnosis and treatment of a gradually progressing occlusion of the carotid arteries, we propose the BODYTUNE system. Consisting of a custom-built auscultation device and a mobile application, it aims at enabling the monitoring of the blood flow within the carotid arteries on a regular basis at home. In this work, we present the results of a survey with 65 participants from the system target group to investigate aspects like technical affinity and experience with comparable systems. These results provide the basis on how the BODYTUNE system should be designed to be user-centered, concerns.\n
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\n \n\n \n \n \n \n \n \n A concept to combine a gamma probe with ultrasound imaging for improved localization of sentinel lymph nodes: a feasibility study of the concept.\n \n \n \n \n\n\n \n Pashazadeh, A.; Hoeschen, C.; Grosser, O. S.; Kreissl, M. C.; Kupitz, D.; Boese, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(2): 380–383. August 2022.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{pashazadeh_concept_2022,\n\ttitle = {A concept to combine a gamma probe with ultrasound imaging for improved localization of sentinel lymph nodes: a feasibility study of the concept},\n\tvolume = {8},\n\tissn = {2364-5504},\n\tshorttitle = {A concept to combine a gamma probe with ultrasound imaging for improved localization of sentinel lymph nodes},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1097/html},\n\tdoi = {10.1515/cdbme-2022-1097},\n\tabstract = {This paper presents the proof-of-concept study of an adaptor allowing the combination of a gamma probe with ultrasound (US) imaging, intending to improve the detectability of sentinel lymph nodes (SLNs). The performance of the adaptor in US imaging, in terms of depth of penetration and distance accuracy, and gamma scanning, in terms of sensitivity and spatial resolution, was investigated. We observed that the quality of the US imaging through the adaptor was promising and close to that of normal US imaging. However, the performance of the gamma probe through the adaptor was fairly poor, necessitating the improvement in the design of the adaptor for better gamma scanning. This study shall provide a basis for the development of a handheld gamma-US scanner for interventional procedures and small field-of-view (FOV) imaging in the future.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-09-02},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Pashazadeh, Ali and Hoeschen, Christoph and Grosser, Oliver S. and Kreissl, Michael C. and Kupitz, Dennis and Boese, Axel and Illanes, Alfredo and Friebe, Michael},\n\tmonth = aug,\n\tyear = {2022},\n\tkeywords = {SLN, Sentinel lymph node, gamma probe, gamma-ultrasound scanner, ultrasound imaging},\n\tpages = {380--383},\n}\n\n
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\n This paper presents the proof-of-concept study of an adaptor allowing the combination of a gamma probe with ultrasound (US) imaging, intending to improve the detectability of sentinel lymph nodes (SLNs). The performance of the adaptor in US imaging, in terms of depth of penetration and distance accuracy, and gamma scanning, in terms of sensitivity and spatial resolution, was investigated. We observed that the quality of the US imaging through the adaptor was promising and close to that of normal US imaging. However, the performance of the gamma probe through the adaptor was fairly poor, necessitating the improvement in the design of the adaptor for better gamma scanning. This study shall provide a basis for the development of a handheld gamma-US scanner for interventional procedures and small field-of-view (FOV) imaging in the future.\n
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\n \n\n \n \n \n \n \n \n Thyroid Nodule Region Estimation using Auto-Regressive Modelling and Machine Learning.\n \n \n \n \n\n\n \n Ataide, E. J. G.; Jabaraj, M. S.; Illanes, A.; Schenke, S.; Boese, A.; Kreissl, M. C.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(2): 588–591. August 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ThyroidPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{ataide_thyroid_2022,\n\ttitle = {Thyroid {Nodule} {Region} {Estimation} using {Auto}-{Regressive} {Modelling} and {Machine} {Learning}},\n\tvolume = {8},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1150/html},\n\tdoi = {10.1515/cdbme-2022-1150},\n\tabstract = {Ultrasound (US) imaging is used for the diagnosis and also evaluation of thyroid nodules. A Thyroid Imaging Reporting and Data System (TIRADS) is used for the risk stratification of thyroid nodules through US images. The composition of thyroid nodules plays an important role in the risk-stratification process. The percentages of cystic and solid components in a thyroid nodule are one of the features that are can be indicative of the risk of malignancy. In this work, we attempt to classify and estimate solid and cystic regions within nodules. 20x20 texture patches were extracted from solid and cystic regions and converted into signals. These signals are decomposed into low, mid, and high-frequency bands using Continuous Wavelet Transform (CWT). A total of 36 features were extracted from the decomposed signals using Auto- Regressive Modeling. The features were fed into three different Machine Learning (ML) algorithms (Artificial Neural Networks, K-Nearest Neighbors, and Random Forest Classifier) to provide us with a classification of solid versus cystic regions in thyroid nodule US images. The Random Forest Classifier obtained an Accuracy, Sensitivity, and Specificity of 90.41\\%, 99\\% and 91\\% respectively which was the highest among the three chosen ML algorithms. Additionally, the output from the classification phase was also be used to determine the percentage of cystic and solid regions with a given thyroid nodule US image.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-09-02},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Ataide, Elmer Jeto Gomes and Jabaraj, Mathews S. and Illanes, Alfredo and Schenke, Simone and Boese, Axel and Kreissl, Michael C. and Friebe, Michael},\n\tmonth = aug,\n\tyear = {2022},\n\tkeywords = {Classification, Feature Extraction, Machine Learning, Region Estimation, Thyroid Nodules, Ultrasound Imaging},\n\tpages = {588--591},\n}\n\n
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\n Ultrasound (US) imaging is used for the diagnosis and also evaluation of thyroid nodules. A Thyroid Imaging Reporting and Data System (TIRADS) is used for the risk stratification of thyroid nodules through US images. The composition of thyroid nodules plays an important role in the risk-stratification process. The percentages of cystic and solid components in a thyroid nodule are one of the features that are can be indicative of the risk of malignancy. In this work, we attempt to classify and estimate solid and cystic regions within nodules. 20x20 texture patches were extracted from solid and cystic regions and converted into signals. These signals are decomposed into low, mid, and high-frequency bands using Continuous Wavelet Transform (CWT). A total of 36 features were extracted from the decomposed signals using Auto- Regressive Modeling. The features were fed into three different Machine Learning (ML) algorithms (Artificial Neural Networks, K-Nearest Neighbors, and Random Forest Classifier) to provide us with a classification of solid versus cystic regions in thyroid nodule US images. The Random Forest Classifier obtained an Accuracy, Sensitivity, and Specificity of 90.41%, 99% and 91% respectively which was the highest among the three chosen ML algorithms. Additionally, the output from the classification phase was also be used to determine the percentage of cystic and solid regions with a given thyroid nodule US image.\n
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\n \n\n \n \n \n \n \n \n Remote knee endoprosthesis monitoring – alignment requirements and prototyping of the external readout unit.\n \n \n \n \n\n\n \n Rieck, P.; Schaufler, A.; Fritzsche, H.; Bertrand, J.; Lohmann, C.; and Boese, A.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(2): 481–484. August 2022.\n \n\n\n\n
\n\n\n\n \n \n \"RemotePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{rieck_remote_2022,\n\ttitle = {Remote knee endoprosthesis monitoring – alignment requirements and prototyping of the external readout unit},\n\tvolume = {8},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1123/html},\n\tdoi = {10.1515/cdbme-2022-1123},\n\tabstract = {Knee arthroplasty follow-up involves only a limited number of X-ray-based implant condition assessments at extended intervals. Polyethylene (PE) wear of knee endoprosthesis often progresses unnoticed until symptomatic adverse effects become apparent or implant failure occurs. A PE wear measuring concept, consisting of an implanted passive sensor and an extracorporeal readout unit, was previously presented by our group. This system is intended to enable patients to regularly check their knee implants’ condition at home. In this context, an appropriate product design for the readout unit is essential to enable the user to record correct measurements. An experimental investigation of the optimized positioning of the system's readout unit was conducted and the measurement data were analyzed. The findings were then implemented in a prototype for readout unit attachment. A sleeve with Velcro and a sewn-in readout unit has been fabricated. A cutout for the patella ensures intuitive correct alignment of the measurement system according to the experimental results. A hardware housing incorporates the electronics.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-09-02},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Rieck, Paul and Schaufler, Anna and Fritzsche, Holger and Bertrand, Jessica and Lohmann, Christoph and Boese, Axel},\n\tmonth = aug,\n\tyear = {2022},\n\tkeywords = {Arthroplasty, Implant, Knee, Monitoring, Prostheses, Sensor},\n\tpages = {481--484},\n}\n\n
\n
\n\n\n
\n Knee arthroplasty follow-up involves only a limited number of X-ray-based implant condition assessments at extended intervals. Polyethylene (PE) wear of knee endoprosthesis often progresses unnoticed until symptomatic adverse effects become apparent or implant failure occurs. A PE wear measuring concept, consisting of an implanted passive sensor and an extracorporeal readout unit, was previously presented by our group. This system is intended to enable patients to regularly check their knee implants’ condition at home. In this context, an appropriate product design for the readout unit is essential to enable the user to record correct measurements. An experimental investigation of the optimized positioning of the system's readout unit was conducted and the measurement data were analyzed. The findings were then implemented in a prototype for readout unit attachment. A sleeve with Velcro and a sewn-in readout unit has been fabricated. A cutout for the patella ensures intuitive correct alignment of the measurement system according to the experimental results. A hardware housing incorporates the electronics.\n
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\n \n\n \n \n \n \n \n \n Concept for a retractor with force indicator for reduction of tissue trauma in abdominal surgery.\n \n \n \n \n\n\n \n Boese, A.; Croner, R.; and Wex, C.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(2): 640–643. August 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ConceptPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{boese_concept_2022,\n\ttitle = {Concept for a retractor with force indicator for reduction of tissue trauma in abdominal surgery},\n\tvolume = {8},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1163/html},\n\tdoi = {10.1515/cdbme-2022-1163},\n\tabstract = {Retractors are used in surgery for the displacement of tissue and organs and to keep the surgical area open. The retraction can lead to a tissue compression that can cause irritation on nerves, perfusion deficits, hematoma or late sequelae like wound healing disorders, pain and numbness. The retraction force and thus the load on the tissue can not be measured with retraction systems today. We present a new concept for a retractor with an integrated spring element and an indicator to visualize retraction force and allow an adjustment of the organ compression. The new retractor was designed considering organ compression limits, requirements on sterility and easy manufacturing. Two retractors were built up as a prototype by 3D printing and tested in a distinguished test setup. The first test of the retractors was performed on a force measurement test bench using a fixed retractor, and in a second test, a liver specimen in a bowl. Tests were repeated for both retractor variants. The tests showed how different spring characteristics could be realized with the new retractor design. Depending on the spring characteristics, the compression could be limited to a certain level and flexibility that can compensate for unwanted patient motion. An indicator is integrated into the design showing the applied load on the retraction system. The presented concept can help to increase patient safety and reduce tissue trauma and late sequelae. The indicator is an easy way to visualize applied forces and allow adaption of the setup to the surgeon's needs.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-09-02},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Croner, Roland and Wex, Cora},\n\tmonth = aug,\n\tyear = {2022},\n\tkeywords = {Organ Damage, Retractor, Soft Tissue, Spring, Surgery, Trauma},\n\tpages = {640--643},\n}\n\n
\n
\n\n\n
\n Retractors are used in surgery for the displacement of tissue and organs and to keep the surgical area open. The retraction can lead to a tissue compression that can cause irritation on nerves, perfusion deficits, hematoma or late sequelae like wound healing disorders, pain and numbness. The retraction force and thus the load on the tissue can not be measured with retraction systems today. We present a new concept for a retractor with an integrated spring element and an indicator to visualize retraction force and allow an adjustment of the organ compression. The new retractor was designed considering organ compression limits, requirements on sterility and easy manufacturing. Two retractors were built up as a prototype by 3D printing and tested in a distinguished test setup. The first test of the retractors was performed on a force measurement test bench using a fixed retractor, and in a second test, a liver specimen in a bowl. Tests were repeated for both retractor variants. The tests showed how different spring characteristics could be realized with the new retractor design. Depending on the spring characteristics, the compression could be limited to a certain level and flexibility that can compensate for unwanted patient motion. An indicator is integrated into the design showing the applied load on the retraction system. The presented concept can help to increase patient safety and reduce tissue trauma and late sequelae. The indicator is an easy way to visualize applied forces and allow adaption of the setup to the surgeon's needs.\n
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\n \n\n \n \n \n \n \n \n A new method for OCT Imaging of the Eustachian tube.\n \n \n \n \n\n\n \n Boese, A.; Fritzsche, H.; Paasche, G.; Lenarz, T.; and Schuon, R.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(2): 113–116. August 2022.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{boese_new_2022,\n\ttitle = {A new method for {OCT} {Imaging} of the {Eustachian} tube},\n\tvolume = {8},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2022-1030/html},\n\tdoi = {10.1515/cdbme-2022-1030},\n\tabstract = {For treatment decision of Eustachian tube (ET) dysfunction, a reliable diagnosis of the reason for this dysfunction is of interest. Imaging methods like CT or MRI do not show enough details today. Endoscopy is challenging but can show at least superficial structures at the pharyngeal orifice. To look into the deeper tissue layers vascular imaging methods like IVUS and OCT were evaluated already. But these procedures are not made and certified for this application and come with risks for the patient. To overcome this issue, we propose the use of an additional closed end guide catheter that can be advanced into the ET. An OCT catheter can be placed inside without touching the patient’s tissue. In this paper we evaluate this approach on a sheep cadaver head and a human cadaver head.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-09-02},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Fritzsche, Holger and Paasche, Gerrit and Lenarz, Thomas and Schuon, Robert},\n\tmonth = aug,\n\tyear = {2022},\n\tkeywords = {CT, ENT, Eustachian tube, IVUS, Imaging, OCT, catheter, chronic otitis media, dysfunction},\n\tpages = {113--116},\n}\n\n
\n
\n\n\n
\n For treatment decision of Eustachian tube (ET) dysfunction, a reliable diagnosis of the reason for this dysfunction is of interest. Imaging methods like CT or MRI do not show enough details today. Endoscopy is challenging but can show at least superficial structures at the pharyngeal orifice. To look into the deeper tissue layers vascular imaging methods like IVUS and OCT were evaluated already. But these procedures are not made and certified for this application and come with risks for the patient. To overcome this issue, we propose the use of an additional closed end guide catheter that can be advanced into the ET. An OCT catheter can be placed inside without touching the patient’s tissue. In this paper we evaluate this approach on a sheep cadaver head and a human cadaver head.\n
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\n \n\n \n \n \n \n \n \n Surface and Event Characterization - Proximal Audio Sensing to improve Manual and Robotic Device Interventions.\n \n \n \n \n\n\n \n Friebe, M.; Boese, A.; Heryan, K.; Spiller, M.; Sühn, T.; Esmaeili, N.; and Illanes, A.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 8(1): 1–4. July 2022.\n \n\n\n\n
\n\n\n\n \n \n \"SurfacePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{friebe_surface_2022,\n\ttitle = {Surface and {Event} {Characterization} - {Proximal} {Audio} {Sensing} to improve {Manual} and {Robotic} {Device} {Interventions}},\n\tvolume = {8},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdmbe-2022-0001/html},\n\tdoi = {10.1515/cdmbe-2022-0001},\n\tabstract = {Minimal-invasive procedures come with significant advantages for the patient. They also come with problems as the navigation/guidance of the devices to a target location is either based on pre-operatively acquired images and then performed free-hand or is accompanied by intraoperative imaging such as MRI or CT that is expensive, complicated and produces artifacts. Using robotic systems for moving and guiding these interventional and therapeutic devices adds additional issues like lack of palpation sensation and missing tissue feedback. While it is possible to add sensors to the distal tip, this creates other obstacles concerning reduced functionality, cables, sterility issues and added complexity and cost. We propose to use a proximally attached audio sensor to record the tissue tool interaction and provide real-time feedback to the clinician. This paper reports on initial attempts to use this technology with robotic arms for surface characterization and interventional vascular procedures that gain increased attention in combination with robotic devices. In summary, Proximal Audio Sensing could be a versatile, cost-effective and powerful tool to guide minimally invasive needle interventions and enable (semi-) autonomous robot-assisted surgery.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-08-08},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Friebe, Michael and Boese, Axel and Heryan, Katarzyna and Spiller, Moritz and Sühn, Thomas and Esmaeili, Nazila and Illanes, Alfredo},\n\tmonth = jul,\n\tyear = {2022},\n\tkeywords = {audio feature extraction, audio sensing, device guidance, proximal sensor, signal processing},\n\tpages = {1--4},\n}\n\n
\n
\n\n\n
\n Minimal-invasive procedures come with significant advantages for the patient. They also come with problems as the navigation/guidance of the devices to a target location is either based on pre-operatively acquired images and then performed free-hand or is accompanied by intraoperative imaging such as MRI or CT that is expensive, complicated and produces artifacts. Using robotic systems for moving and guiding these interventional and therapeutic devices adds additional issues like lack of palpation sensation and missing tissue feedback. While it is possible to add sensors to the distal tip, this creates other obstacles concerning reduced functionality, cables, sterility issues and added complexity and cost. We propose to use a proximally attached audio sensor to record the tissue tool interaction and provide real-time feedback to the clinician. This paper reports on initial attempts to use this technology with robotic arms for surface characterization and interventional vascular procedures that gain increased attention in combination with robotic devices. In summary, Proximal Audio Sensing could be a versatile, cost-effective and powerful tool to guide minimally invasive needle interventions and enable (semi-) autonomous robot-assisted surgery.\n
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\n \n\n \n \n \n \n \n \n Contact Endoscopy – Narrow Band Imaging (CE-NBI) Data Set for Laryngeal Lesion Assessment.\n \n \n \n \n\n\n \n Esmaeili, N.; Davaris, N.; Boese, A.; Illanes, A.; Friebe, M.; and Arens, C.\n\n\n \n\n\n\n July 2022.\n Type: dataset\n\n\n\n
\n\n\n\n \n \n \"ContactPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@misc{esmaeili_contact_2022,\n\ttitle = {Contact {Endoscopy} – {Narrow} {Band} {Imaging} ({CE}-{NBI}) {Data} {Set} for {Laryngeal} {Lesion} {Assessment}},\n\turl = {https://zenodo.org/record/6674034},\n\tabstract = {The endoscopic examination of subepithelial vascular variations of vocal folds can provide complementary diagnostic information for clinicians regarding the development of benign and malignant laryngeal lesions. As one novel technique, Contact Endoscopy combined with Narrow Band Imaging (CE-NBI) can provide real-time and enhanced visualization of these vascular structures. Several studies have addressed the concern of subjective evaluation of CE-NBI images, resulting in the development of multiple computer-based solutions.  We introduce the CE-NBI data set, the first publicly available data set with enhanced and magnified visualization of vocal fold subepithelial blood vessels. It comprises 11144 images of 210 adult patients with benign and malignant lesions in the vocal fold. Image annotations include as following for all images of every patient:  Diagnosed laryngeal histopathology label.  Lesion type benign-malignant label.  Leukoplakia diagnosis label.  The dataset consists of two main categories: benign and malignant images. In each category, the images of every patient are ordered according to the laryngeal histopathology class. Additionally, one Excel file is provided to map the image files of each patient to three image labels and image dimensions.  This data has successfully been used to perform clinical evaluations as well as design and develop multiple Machine Learning (ML)-based algorithms for laryngeal cancer assessment.},\n\tlanguage = {eng},\n\turldate = {2022-07-20},\n\tpublisher = {Zenodo},\n\tauthor = {Esmaeili, Nazila and Davaris, Nikolaos and Boese, Axel and Illanes, Alfredo and Friebe, Michael and Arens, Christoph},\n\tmonth = jul,\n\tyear = {2022},\n\tdoi = {10.5281/zenodo.6674034},\n\tnote = {Type: dataset},\n\tkeywords = {Artificial Intelligence, Cancer, Computer Aided Diagnosis, Deep Learning, Endoscopy, Image Processing, Larynx, Machine Learning, Medical Imaging, Narrow Band Imaging, Vascular Structure, Vessels, Vocal Fold},\n}\n\n
\n
\n\n\n
\n The endoscopic examination of subepithelial vascular variations of vocal folds can provide complementary diagnostic information for clinicians regarding the development of benign and malignant laryngeal lesions. As one novel technique, Contact Endoscopy combined with Narrow Band Imaging (CE-NBI) can provide real-time and enhanced visualization of these vascular structures. Several studies have addressed the concern of subjective evaluation of CE-NBI images, resulting in the development of multiple computer-based solutions.  We introduce the CE-NBI data set, the first publicly available data set with enhanced and magnified visualization of vocal fold subepithelial blood vessels. It comprises 11144 images of 210 adult patients with benign and malignant lesions in the vocal fold. Image annotations include as following for all images of every patient:  Diagnosed laryngeal histopathology label.  Lesion type benign-malignant label.  Leukoplakia diagnosis label.  The dataset consists of two main categories: benign and malignant images. In each category, the images of every patient are ordered according to the laryngeal histopathology class. Additionally, one Excel file is provided to map the image files of each patient to three image labels and image dimensions.  This data has successfully been used to perform clinical evaluations as well as design and develop multiple Machine Learning (ML)-based algorithms for laryngeal cancer assessment.\n
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\n \n\n \n \n \n \n \n \n Surgeons' requirements for a surgical support system to improve laparoscopic access.\n \n \n \n \n\n\n \n Spiller, M.; Bruennel, M.; Grosse, V.; Sühn, T.; Esmaeili, N.; Stockheim, J.; Turial, S.; Croner, R.; Boese, A.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n BMC Surgery, 22(1): 279. July 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Surgeons'Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{spiller_surgeons_2022,\n\ttitle = {Surgeons' requirements for a surgical support system to improve laparoscopic access},\n\tvolume = {22},\n\tissn = {1471-2482},\n\turl = {https://doi.org/10.1186/s12893-022-01724-7},\n\tdoi = {10.1186/s12893-022-01724-7},\n\tabstract = {Creating surgical access is a critical step in laparoscopic surgery. Surgeons have to insert a sharp instrument such as the Veress needle or a trocar into the patient’s abdomen until the peritoneal cavity is reached. They solely rely on their experience and distorted tactile feedback in that process, leading to a complication rate as high as 14\\% of all cases. Recent studies have shown the feasibility of surgical support systems that provide intraoperative feedback regarding the insertion process to improve laparoscopic access outcomes. However, to date, the surgeons’ requirements for such support systems remain unclear. This research article presents the results of an explorative study that aimed to acquire data about the information that helps surgeons improve laparoscopic access outcomes. The results indicate that feedback regarding the reaching of the peritoneal cavity is of significant importance and should be presented visually or acoustically. Finally, a solution should be straightforward and intuitive to use, should support or even improve the clinical workflow, but also cheap enough to facilitate its usage rate. While this study was tailored to laparoscopic access, its results also apply to other minimally invasive procedures.},\n\tnumber = {1},\n\turldate = {2022-07-20},\n\tjournal = {BMC Surgery},\n\tauthor = {Spiller, Moritz and Bruennel, Marcus and Grosse, Victoria and Sühn, Thomas and Esmaeili, Nazila and Stockheim, Jessica and Turial, Salmai and Croner, Roland and Boese, Axel and Friebe, Michael and Illanes, Alfredo},\n\tmonth = jul,\n\tyear = {2022},\n\tkeywords = {Audio sensing, Capnoperitoneum, Intraoperative support systems, Laparoscopic access, Laparoscopy, Minimally invasive surgery, Online questionnaire, Peritoneal cavity, Pneumoperitoneum, Survey},\n\tpages = {279},\n}\n\n
\n
\n\n\n
\n Creating surgical access is a critical step in laparoscopic surgery. Surgeons have to insert a sharp instrument such as the Veress needle or a trocar into the patient’s abdomen until the peritoneal cavity is reached. They solely rely on their experience and distorted tactile feedback in that process, leading to a complication rate as high as 14% of all cases. Recent studies have shown the feasibility of surgical support systems that provide intraoperative feedback regarding the insertion process to improve laparoscopic access outcomes. However, to date, the surgeons’ requirements for such support systems remain unclear. This research article presents the results of an explorative study that aimed to acquire data about the information that helps surgeons improve laparoscopic access outcomes. The results indicate that feedback regarding the reaching of the peritoneal cavity is of significant importance and should be presented visually or acoustically. Finally, a solution should be straightforward and intuitive to use, should support or even improve the clinical workflow, but also cheap enough to facilitate its usage rate. While this study was tailored to laparoscopic access, its results also apply to other minimally invasive procedures.\n
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\n \n\n \n \n \n \n \n \n White paper: definitions of artificial intelligence and autonomous actions in clinical surgery.\n \n \n \n \n\n\n \n Gumbs, A. A.; Alexander, F.; Karcz, K.; Chouillard, E.; Croner, R.; Coles-Black, J.; de Simone, B.; Gagner, M.; Gayet, B.; Grasso, V.; Illanes, A.; Ishizawa, T.; Milone, L.; Özmen, M. M.; Piccoli, M.; Spiedel, S.; Spolverato, G.; Sylla, P.; Vilaça, J.; and Swanström, L. L.\n\n\n \n\n\n\n Artificial Intelligence Surgery, 2(2): 93–100. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"WhitePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{gumbs_white_2022,\n\ttitle = {White paper: definitions of artificial intelligence and autonomous actions in clinical surgery},\n\tvolume = {2},\n\tissn = {27710408},\n\tshorttitle = {White paper},\n\turl = {https://aisjournal.net/article/view/4913},\n\tdoi = {10.20517/ais.2022.10},\n\tabstract = {This white paper documents the consensus opinion of the expert members of the Editorial Board of Artificial Intelligence Surgery regarding the definitions of artificial intelligence and autonomy in regards to surgery and how the digital evolution of surgery is interrelated with the various forms of robotic-assisted surgery. It was derived from a series of video conference discussions, and the survey and results were subsequently revised and approved by all authors.},\n\tnumber = {2},\n\turldate = {2022-06-13},\n\tjournal = {Artificial Intelligence Surgery},\n\tauthor = {Gumbs, Andrew A. and Alexander, Frank and Karcz, Konrad and Chouillard, Elie and Croner, Roland and Coles-Black, Jasamine and de Simone, Belinda and Gagner, Michel and Gayet, Brice and Grasso, Vincent and Illanes, Alfredo and Ishizawa, Takeaki and Milone, Luca and Özmen, Mehmet Mahir and Piccoli, Micaela and Spiedel, Stefanie and Spolverato, Gaya and Sylla, Patricia and Vilaça, Jaime and Swanström, Lee L.},\n\tyear = {2022},\n\tpages = {93--100},\n}\n\n
\n
\n\n\n
\n This white paper documents the consensus opinion of the expert members of the Editorial Board of Artificial Intelligence Surgery regarding the definitions of artificial intelligence and autonomy in regards to surgery and how the digital evolution of surgery is interrelated with the various forms of robotic-assisted surgery. It was derived from a series of video conference discussions, and the survey and results were subsequently revised and approved by all authors.\n
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\n \n\n \n \n \n \n \n \n Endoscopic Imaging Technology Today.\n \n \n \n \n\n\n \n Boese, A.; Wex, C.; Croner, R.; Liehr, U. B.; Wendler, J. J.; Weigt, J.; Walles, T.; Vorwerk, U.; Lohmann, C. H.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Diagnostics, 12(5): 1262. May 2022.\n \n\n\n\n
\n\n\n\n \n \n \"EndoscopicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{boese_endoscopic_2022,\n\ttitle = {Endoscopic {Imaging} {Technology} {Today}},\n\tvolume = {12},\n\tissn = {2075-4418},\n\turl = {https://www.mdpi.com/2075-4418/12/5/1262},\n\tdoi = {10.3390/diagnostics12051262},\n\tabstract = {One of the most applied imaging methods in medicine is endoscopy. A highly specialized image modality has been developed since the first modern endoscope, the “Lichtleiter” of Bozzini was introduced in the early 19th century. Multiple medical disciplines use endoscopy for diagnostics or to visualize and support therapeutic procedures. Therefore, the shapes, functionalities, handling concepts, and the integrated and surrounding technology of endoscopic systems were adapted to meet these dedicated medical application requirements. This survey gives an overview of modern endoscopic technology’s state of the art. Therefore, the portfolio of several manufacturers with commercially available products on the market was screened and summarized. Additionally, some trends for upcoming developments were collected.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2022-05-19},\n\tjournal = {Diagnostics},\n\tauthor = {Boese, Axel and Wex, Cora and Croner, Roland and Liehr, Uwe Bernd and Wendler, Johann Jakob and Weigt, Jochen and Walles, Thorsten and Vorwerk, Ulrich and Lohmann, Christoph Hubertus and Friebe, Michael and Illanes, Alfredo},\n\tmonth = may,\n\tyear = {2022},\n\tpages = {1262},\n}\n\n
\n
\n\n\n
\n One of the most applied imaging methods in medicine is endoscopy. A highly specialized image modality has been developed since the first modern endoscope, the “Lichtleiter” of Bozzini was introduced in the early 19th century. Multiple medical disciplines use endoscopy for diagnostics or to visualize and support therapeutic procedures. Therefore, the shapes, functionalities, handling concepts, and the integrated and surrounding technology of endoscopic systems were adapted to meet these dedicated medical application requirements. This survey gives an overview of modern endoscopic technology’s state of the art. Therefore, the portfolio of several manufacturers with commercially available products on the market was screened and summarized. Additionally, some trends for upcoming developments were collected.\n
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\n \n\n \n \n \n \n \n \n Impacts of environmental and feeding regime variability on the feeding activity responses of atlantic salmon Salmo salar l. farmed in Southern Chile.\n \n \n \n \n\n\n \n Behrend, J.; Illanes, A.; Niklitschek, E.; Valerio, V.; Wente, C.; Vargas-Chacoff, L.; and Muñoz, J. L. P.\n\n\n \n\n\n\n Aquaculture, 550: 737839. March 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ImpactsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{behrend_impacts_2022,\n\ttitle = {Impacts of environmental and feeding regime variability on the feeding activity responses of atlantic salmon {Salmo} salar l. farmed in {Southern} {Chile}},\n\tvolume = {550},\n\tissn = {0044-8486},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0044848621015027},\n\tdoi = {10.1016/j.aquaculture.2021.737839},\n\tabstract = {Farmed fish are affected by environmental variability and farming practices, such as farming density, feed composition and feeding regime. We developed four feeding activity indices to assess how environmental variability, ration size and feeding time lags affect the feeding activity of farmed Salmo salar. We used a real-time video monitoring system to record eight 1800-m3 cages between November 2017 and August 2018. Each cage contained approximately 55,000 S. salar post-smolts (initial weight of 1253 g ± 195). We found that ration size and UV radiation positively and negatively affected feeding activity indices, respectively.},\n\tlanguage = {en},\n\turldate = {2022-05-09},\n\tjournal = {Aquaculture},\n\tauthor = {Behrend, Josefa and Illanes, Alfredo and Niklitschek, Edwin and Valerio, Víctor and Wente, Cristian and Vargas-Chacoff, Luis and Muñoz, José L. P.},\n\tmonth = mar,\n\tyear = {2022},\n\tkeywords = {Aquaculture condition, Atlantic salmon, Behavior, Feed management, Feeding activity, Real-time monitoring system},\n\tpages = {737839},\n}\n\n
\n
\n\n\n
\n Farmed fish are affected by environmental variability and farming practices, such as farming density, feed composition and feeding regime. We developed four feeding activity indices to assess how environmental variability, ration size and feeding time lags affect the feeding activity of farmed Salmo salar. We used a real-time video monitoring system to record eight 1800-m3 cages between November 2017 and August 2018. Each cage contained approximately 55,000 S. salar post-smolts (initial weight of 1253 g ± 195). We found that ration size and UV radiation positively and negatively affected feeding activity indices, respectively.\n
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\n \n\n \n \n \n \n \n \n Collision Avoidance Route Planning for Autonomous Medical Devices Using Multiple Depth Cameras.\n \n \n \n \n\n\n \n Mahmeen, M.; Sanchez, R. D. D.; Friebe, M.; Pech, M.; and Haider, S.\n\n\n \n\n\n\n IEEE Access, 10: 29903–29915. 2022.\n \n\n\n\n
\n\n\n\n \n \n \"CollisionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{mahmeen_collision_2022,\n\ttitle = {Collision {Avoidance} {Route} {Planning} for {Autonomous} {Medical} {Devices} {Using} {Multiple} {Depth} {Cameras}},\n\tvolume = {10},\n\tissn = {2169-3536},\n\turl = {https://ieeexplore.ieee.org/document/9733894/},\n\tdoi = {10.1109/ACCESS.2022.3159239},\n\turldate = {2022-05-09},\n\tjournal = {IEEE Access},\n\tauthor = {Mahmeen, Mohd and Sanchez, Raul David Dominguez and Friebe, Michael and Pech, Maciej and Haider, Sultan},\n\tyear = {2022},\n\tpages = {29903--29915},\n}\n\n
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\n  \n 2021\n \n \n (41)\n \n \n
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\n \n\n \n \n \n \n \n Next Generation 5G Mobile Health Network for User Interfacing in Radiology Workflows.\n \n \n \n\n\n \n Mahmeen, M.; Melconian, M. R.; Haider, S.; Friebe, M.; and Pech, M.\n\n\n \n\n\n\n IEEE Access, 9: 102899–102907. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{mahmeen_next_2021,\n\ttitle = {Next {Generation} {5G} {Mobile} {Health} {Network} for {User} {Interfacing} in {Radiology} {Workflows}},\n\tvolume = {9},\n\tissn = {2169-3536},\n\tdoi = {10.1109/ACCESS.2021.3097303},\n\tabstract = {5G is the next-generation mobile cellular network that offers significant advantages over other wireless network technologies, such as data throughput, latency, real-time multicasting, ad hoc peer-to-peer, and data encryption, to name a few. A critical sector for potentially disruptive 5G solutions is healthcare and its current IoMT infrastructure. This paper analyses the current pain points associated with the general radiology workflow for X-ray imaging in terms of user interfaces and network technologies. By understanding this workflow and the modern 5G technology standards, we have designed a system-level architecture for a private 5G network within a hospital that includes additional services over the core and a different architecture for telecommunication networks. In addition, we have designed a lower-level architecture for a 5G collimator interfacing use case, with a network protocol stack designed for use case realization. With these 5G architectures implemented, a new, novel radiology workflow, was visualized, with clear benefits arising from the 5G innovations highlighted. We also highlighted the resulting limitations of the current design and outlined the next development steps and hypothesized future visions.},\n\tjournal = {IEEE Access},\n\tauthor = {Mahmeen, Mohd and Melconian, Marcus Richard and Haider, Sultan and Friebe, Michael and Pech, Maciej},\n\tyear = {2021},\n\tkeywords = {5G mobile communication, 5G network, Collimators, Computer architecture, Hospitals, Pain, Radiology, Real-time systems, healthcare telecommunication, radiology challenges, user interfacing, workflows},\n\tpages = {102899--102907},\n}\n\n
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\n 5G is the next-generation mobile cellular network that offers significant advantages over other wireless network technologies, such as data throughput, latency, real-time multicasting, ad hoc peer-to-peer, and data encryption, to name a few. A critical sector for potentially disruptive 5G solutions is healthcare and its current IoMT infrastructure. This paper analyses the current pain points associated with the general radiology workflow for X-ray imaging in terms of user interfaces and network technologies. By understanding this workflow and the modern 5G technology standards, we have designed a system-level architecture for a private 5G network within a hospital that includes additional services over the core and a different architecture for telecommunication networks. In addition, we have designed a lower-level architecture for a 5G collimator interfacing use case, with a network protocol stack designed for use case realization. With these 5G architectures implemented, a new, novel radiology workflow, was visualized, with clear benefits arising from the 5G innovations highlighted. We also highlighted the resulting limitations of the current design and outlined the next development steps and hypothesized future visions.\n
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\n \n\n \n \n \n \n \n \n Use of Artificial Intelligence (AI) for the intraoperative evaluation of vocal fold leukoplakias.\n \n \n \n \n\n\n \n Davaris, N; Esmaeili, N; Illanes, A; Boese, A; Friebe, M; and Arens, C\n\n\n \n\n\n\n In pages s–0041–1727700, HNO-Online-Kongress, May 2021. \n \n\n\n\n
\n\n\n\n \n \n \"UsePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{davaris_use_2021,\n\taddress = {HNO-Online-Kongress},\n\ttitle = {Use of {Artificial} {Intelligence} ({AI}) for the intraoperative evaluation of vocal fold leukoplakias},\n\turl = {http://www.thieme-connect.de/DOI/DOI?10.1055/s-0041-1727700},\n\tdoi = {10.1055/s-0041-1727700},\n\tlanguage = {en},\n\turldate = {2022-05-09},\n\tauthor = {Davaris, N and Esmaeili, N and Illanes, A and Boese, A and Friebe, M and Arens, C},\n\tmonth = may,\n\tyear = {2021},\n\tpages = {s--0041--1727700},\n}\n\n
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\n \n\n \n \n \n \n \n Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?.\n \n \n \n\n\n \n Gumbs, A. A.; Frigerio, I.; Spolverato, G.; Croner, R.; Illanes, A.; Chouillard, E.; and Elyan, E.\n\n\n \n\n\n\n Sensors (Basel, Switzerland), 21(16): 5526. August 2021.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{gumbs_artificial_2021,\n\ttitle = {Artificial {Intelligence} {Surgery}: {How} {Do} {We} {Get} to {Autonomous} {Actions} in {Surgery}?},\n\tvolume = {21},\n\tissn = {1424-8220},\n\tshorttitle = {Artificial {Intelligence} {Surgery}},\n\tdoi = {10.3390/s21165526},\n\tabstract = {Most surgeons are skeptical as to the feasibility of autonomous actions in surgery. Interestingly, many examples of autonomous actions already exist and have been around for years. Since the beginning of this millennium, the field of artificial intelligence (AI) has grown exponentially with the development of machine learning (ML), deep learning (DL), computer vision (CV) and natural language processing (NLP). All of these facets of AI will be fundamental to the development of more autonomous actions in surgery, unfortunately, only a limited number of surgeons have or seek expertise in this rapidly evolving field. As opposed to AI in medicine, AI surgery (AIS) involves autonomous movements. Fortuitously, as the field of robotics in surgery has improved, more surgeons are becoming interested in technology and the potential of autonomous actions in procedures such as interventional radiology, endoscopy and surgery. The lack of haptics, or the sensation of touch, has hindered the wider adoption of robotics by many surgeons; however, now that the true potential of robotics can be comprehended, the embracing of AI by the surgical community is more important than ever before. Although current complete surgical systems are mainly only examples of tele-manipulation, for surgeons to get to more autonomously functioning robots, haptics is perhaps not the most important aspect. If the goal is for robots to ultimately become more and more independent, perhaps research should not focus on the concept of haptics as it is perceived by humans, and the focus should be on haptics as it is perceived by robots/computers. This article will discuss aspects of ML, DL, CV and NLP as they pertain to the modern practice of surgery, with a focus on current AI issues and advances that will enable us to get to more autonomous actions in surgery. Ultimately, there may be a paradigm shift that needs to occur in the surgical community as more surgeons with expertise in AI may be needed to fully unlock the potential of AIS in a safe, efficacious and timely manner.},\n\tlanguage = {eng},\n\tnumber = {16},\n\tjournal = {Sensors (Basel, Switzerland)},\n\tauthor = {Gumbs, Andrew A. and Frigerio, Isabella and Spolverato, Gaya and Croner, Roland and Illanes, Alfredo and Chouillard, Elie and Elyan, Eyad},\n\tmonth = aug,\n\tyear = {2021},\n\tpmid = {34450976},\n\tpmcid = {PMC8400539},\n\tkeywords = {Artificial Intelligence, Endoscopy, Humans, Machine Learning, Natural Language Processing, Robotics, artificial intelligence surgery, autonomous robotics, computer vision, deep learning, machine learning, natural language processing},\n\tpages = {5526},\n}\n\n
\n
\n\n\n
\n Most surgeons are skeptical as to the feasibility of autonomous actions in surgery. Interestingly, many examples of autonomous actions already exist and have been around for years. Since the beginning of this millennium, the field of artificial intelligence (AI) has grown exponentially with the development of machine learning (ML), deep learning (DL), computer vision (CV) and natural language processing (NLP). All of these facets of AI will be fundamental to the development of more autonomous actions in surgery, unfortunately, only a limited number of surgeons have or seek expertise in this rapidly evolving field. As opposed to AI in medicine, AI surgery (AIS) involves autonomous movements. Fortuitously, as the field of robotics in surgery has improved, more surgeons are becoming interested in technology and the potential of autonomous actions in procedures such as interventional radiology, endoscopy and surgery. The lack of haptics, or the sensation of touch, has hindered the wider adoption of robotics by many surgeons; however, now that the true potential of robotics can be comprehended, the embracing of AI by the surgical community is more important than ever before. Although current complete surgical systems are mainly only examples of tele-manipulation, for surgeons to get to more autonomously functioning robots, haptics is perhaps not the most important aspect. If the goal is for robots to ultimately become more and more independent, perhaps research should not focus on the concept of haptics as it is perceived by humans, and the focus should be on haptics as it is perceived by robots/computers. This article will discuss aspects of ML, DL, CV and NLP as they pertain to the modern practice of surgery, with a focus on current AI issues and advances that will enable us to get to more autonomous actions in surgery. Ultimately, there may be a paradigm shift that needs to occur in the surgical community as more surgeons with expertise in AI may be needed to fully unlock the potential of AIS in a safe, efficacious and timely manner.\n
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\n \n\n \n \n \n \n \n \n Digital Scientist 2035—An Outlook on Innovation and Education.\n \n \n \n \n\n\n \n Barbazzeni, B.; and Friebe, M.\n\n\n \n\n\n\n Frontiers in Computer Science, 3: 710972. July 2021.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{barbazzeni_digital_2021,\n\ttitle = {Digital {Scientist} 2035—{An} {Outlook} on {Innovation} and {Education}},\n\tvolume = {3},\n\tissn = {2624-9898},\n\turl = {https://www.frontiersin.org/articles/10.3389/fcomp.2021.710972/full},\n\tdoi = {10.3389/fcomp.2021.710972},\n\tabstract = {With the advent of the fourth industrial revolution accompanied by the Internet of Things, the implementation of smart technologies and digitalization already had a great impact in our society, especially when considering exponential innovation and human development. In this context, some types of employment have already been replaced or have been enhanced by the use of robots, human-machines interfaces and Artificial Intelligence systems. And there is likely more to come. If innovation can be viewed as a direct or indirect outcome of scientific research, which role will a scientist play in 2035? We developed a survey to investigate the opinions of scientists with respect to the possible future implementation of disruptive technologies, their feelings and approaches to digitalization, and particularly the impact of digital transformation on scientific education. In a futuristic scenario, we can imagine that scientists will be supported by technologies, carrying out numerous experiments, managing big datasets, producing accurate results, increasing communication, openness and collaboration among the worldwide scientific community, where ethics, regulations and social norms will always be observed. The new era of Digital Science is coming, in which humans will start to incorporate more disruptive and advanced technologies into their daily life; essential aspects for exponential innovation and development.},\n\turldate = {2022-05-09},\n\tjournal = {Frontiers in Computer Science},\n\tauthor = {Barbazzeni, Beatrice and Friebe, Michael},\n\tmonth = jul,\n\tyear = {2021},\n\tpages = {710972},\n}\n\n
\n
\n\n\n
\n With the advent of the fourth industrial revolution accompanied by the Internet of Things, the implementation of smart technologies and digitalization already had a great impact in our society, especially when considering exponential innovation and human development. In this context, some types of employment have already been replaced or have been enhanced by the use of robots, human-machines interfaces and Artificial Intelligence systems. And there is likely more to come. If innovation can be viewed as a direct or indirect outcome of scientific research, which role will a scientist play in 2035? We developed a survey to investigate the opinions of scientists with respect to the possible future implementation of disruptive technologies, their feelings and approaches to digitalization, and particularly the impact of digital transformation on scientific education. In a futuristic scenario, we can imagine that scientists will be supported by technologies, carrying out numerous experiments, managing big datasets, producing accurate results, increasing communication, openness and collaboration among the worldwide scientific community, where ethics, regulations and social norms will always be observed. The new era of Digital Science is coming, in which humans will start to incorporate more disruptive and advanced technologies into their daily life; essential aspects for exponential innovation and development.\n
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\n \n\n \n \n \n \n \n \n Sensor-based measurement for advanced monitoring and early detection of PE wear in total knee arthroplasties.\n \n \n \n \n\n\n \n Schaufler, A.; Fritzsche, H.; Bertrand, J.; Lohmann, C.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 283–286. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Sensor-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{schaufler_sensor-based_2021,\n\ttitle = {Sensor-based measurement for advanced monitoring and early detection of {PE} wear in total knee arthroplasties},\n\tvolume = {7},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2072/html},\n\tdoi = {10.1515/cdbme-2021-2072},\n\tabstract = {Polyethylene (PE) inlays of knee endoprostheses are exposed to constant mechanical stress causing particle abrasion and volumetric wear. With the current inlay surveillance strategy, significant change often can be only detected when the implant has already failed. To reduce medical complications arising from implant malposition or failure, early and accurate assessment of the implant condition is of great value. We present a novel concept to monitor PE inlays based on an implanted sensor. Requirements of sensor integration into endoprostheses were discussed and specified for an inlay monitoring concept. A planar eddy current sensor for measuring the gradual descent of the femoral component was proposed where inductive and capacitive sensor elements form a resonant circuit. The potential sensitivity of the proposed measuring method was tested in an experimental setup using an RFID tag as a sensor substitute. A measurement concept, including the sensor and an extracorporal readout coil, was described and the validity was verified using finite element method (FEM) simulation of a simplified knee model. The experiments showed that a significant resonant frequency shift occurs in the sensor with decreasing distance to the femoral component. FEM simulation demonstrated that the sensor could be powered and readout extracorporeally through inductive coupling with an external readout coil. The proposed concept is a promising solution for feasible and accurate reading of the implant status designed to meet medical requirements. It can enable autonomous and routine monitoring as well as early detection of critical inlay deformation with a home-use device.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Schaufler, Anna and Fritzsche, Holger and Bertrand, Jessica and Lohmann, Christoph and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Polyethylene wear, early wear detection, implanted sensor, orthopaedic implant},\n\tpages = {283--286},\n}\n\n
\n
\n\n\n
\n Polyethylene (PE) inlays of knee endoprostheses are exposed to constant mechanical stress causing particle abrasion and volumetric wear. With the current inlay surveillance strategy, significant change often can be only detected when the implant has already failed. To reduce medical complications arising from implant malposition or failure, early and accurate assessment of the implant condition is of great value. We present a novel concept to monitor PE inlays based on an implanted sensor. Requirements of sensor integration into endoprostheses were discussed and specified for an inlay monitoring concept. A planar eddy current sensor for measuring the gradual descent of the femoral component was proposed where inductive and capacitive sensor elements form a resonant circuit. The potential sensitivity of the proposed measuring method was tested in an experimental setup using an RFID tag as a sensor substitute. A measurement concept, including the sensor and an extracorporal readout coil, was described and the validity was verified using finite element method (FEM) simulation of a simplified knee model. The experiments showed that a significant resonant frequency shift occurs in the sensor with decreasing distance to the femoral component. FEM simulation demonstrated that the sensor could be powered and readout extracorporeally through inductive coupling with an external readout coil. The proposed concept is a promising solution for feasible and accurate reading of the implant status designed to meet medical requirements. It can enable autonomous and routine monitoring as well as early detection of critical inlay deformation with a home-use device.\n
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\n \n\n \n \n \n \n \n \n Comparison of Deep Learning Algorithms for Semantic Segmentation of Ultrasound Thyroid Nodules.\n \n \n \n \n\n\n \n Ataide, E. J. G.; Agrawal, S.; Jauhari, A.; Boese, A.; Illanes, A.; Schenke, S.; Kreissl, M. C.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 879–882. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ComparisonPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{ataide_comparison_2021,\n\ttitle = {Comparison of {Deep} {Learning} {Algorithms} for {Semantic} {Segmentation} of {Ultrasound} {Thyroid} {Nodules}},\n\tvolume = {7},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2224/html},\n\tdoi = {10.1515/cdbme-2021-2224},\n\tabstract = {Ultrasound (US) imaging is used as a preliminary diagnostic tool for the detection, risk-stratification and classification of thyroid nodules. In order to perform the risk stratification of nodules in US images physicians first need to effectively detect the nodules. This process is affected due to the presence of inter-observer and intra-observer variability and subjectivity. Computer Aided Diagnostic tools prove to be a step in the right direction towards reducing the issue of subjectivity and observer variability. Several segmentation techniques have been proposed, from these Deep Learning techniques have yielded promising results. This work presents a comparison between four state of the art (SOTA) Deep Learning segmentation algorithms (UNet, SUMNet, ResUNet and Attention UNet). Each network was trained on the same dataset and the results are compared using performance metrics such as accuracy, dice coefficient and Intersection over Union (IoU) to determine the most effective in terms of thyroid nodule segmentation in US images. It was found that ResUNet performed the best with an accuracy, dice coefficient and IoU of 89.2\\%, 0.857, 0.767. The aim is to use the trained algorithm in the development of a Computer Aided Diagnostic system for the detection, riskstratification and classification of thyroid nodules using US images to reduce subjectivity and observer variability},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Ataide, Elmer Jeto Gomes and Agrawal, Shubham and Jauhari, Aishwarya and Boese, Axel and Illanes, Alfredol and Schenke, Simone and Kreissl, Michael C. and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Computer Aided Diagnosis, Deep Learning, Image Processing, Thyroid Nodules, Ultrasound Imaging},\n\tpages = {879--882},\n}\n\n
\n
\n\n\n
\n Ultrasound (US) imaging is used as a preliminary diagnostic tool for the detection, risk-stratification and classification of thyroid nodules. In order to perform the risk stratification of nodules in US images physicians first need to effectively detect the nodules. This process is affected due to the presence of inter-observer and intra-observer variability and subjectivity. Computer Aided Diagnostic tools prove to be a step in the right direction towards reducing the issue of subjectivity and observer variability. Several segmentation techniques have been proposed, from these Deep Learning techniques have yielded promising results. This work presents a comparison between four state of the art (SOTA) Deep Learning segmentation algorithms (UNet, SUMNet, ResUNet and Attention UNet). Each network was trained on the same dataset and the results are compared using performance metrics such as accuracy, dice coefficient and Intersection over Union (IoU) to determine the most effective in terms of thyroid nodule segmentation in US images. It was found that ResUNet performed the best with an accuracy, dice coefficient and IoU of 89.2%, 0.857, 0.767. The aim is to use the trained algorithm in the development of a Computer Aided Diagnostic system for the detection, riskstratification and classification of thyroid nodules using US images to reduce subjectivity and observer variability\n
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\n \n\n \n \n \n \n \n \n State-of-the-Art: Biodesign based Innovation Ecosystems in Europe.\n \n \n \n \n\n\n \n Fritzsche, H.; Mahbub, E.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 231–234. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"State-of-the-Art:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{fritzsche_state---art_2021,\n\ttitle = {State-of-the-{Art}: {Biodesign} based {Innovation} {Ecosystems} in {Europe}},\n\tvolume = {7},\n\tissn = {2364-5504},\n\tshorttitle = {State-of-the-{Art}},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2059/html},\n\tdoi = {10.1515/cdbme-2021-2059},\n\tabstract = {Today's healthcare challenges with unmet clinical needs, high regulation and certification standards, and increasing costs demand faster innovation and technical translation. To address this challenge, Stanford released a fellowship called Biodesign, where need-based healthcare innovation is taught with the approach identify, invent and implement. Since then, different European institutions have adopted the Biodesign innovation approach and organized within the Biomedical Engineering- Innovation, Design, and Entrepreneurship Alliance (BMEidea EU). The generation of successful healthcare innovation isn't only based on participating in an Innovation teaching program. It is much more a matter of having the right innovation ecosystem with an open creative mindset, experts, the respective stakeholders, and access to essential resources within reach (close to clinic). Through a qualitative survey, seven Biodesign based teaching programs in the EU were examined. The study from an academic perspective contains information covering Resources, Activities, Academic Performance, and Transfer Performance. The demand for new healthcare innovations, and especially innovation training programs that address challenges, developed collaboratively with the respective stakeholders, is increasing. Additionally, there is a growing expectation that innovation needs to reach the market quickly and be implemented accordingly. A Healthcare Innovation Ecosystem, where different entities function as a productive unit with a shared vision and committed to application-driven research and technology transfer, will increase innovation's success and adaptation.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fritzsche, Holger and Mahbub, Elaha and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Entrepreneurship, Innovation Ecosystems, Innovation Generation, Medical Research Laboratory, Stanford Biodesign, Start Up, Technology Transfer, Unmet Clinical Needs},\n\tpages = {231--234},\n}\n\n
\n
\n\n\n
\n Today's healthcare challenges with unmet clinical needs, high regulation and certification standards, and increasing costs demand faster innovation and technical translation. To address this challenge, Stanford released a fellowship called Biodesign, where need-based healthcare innovation is taught with the approach identify, invent and implement. Since then, different European institutions have adopted the Biodesign innovation approach and organized within the Biomedical Engineering- Innovation, Design, and Entrepreneurship Alliance (BMEidea EU). The generation of successful healthcare innovation isn't only based on participating in an Innovation teaching program. It is much more a matter of having the right innovation ecosystem with an open creative mindset, experts, the respective stakeholders, and access to essential resources within reach (close to clinic). Through a qualitative survey, seven Biodesign based teaching programs in the EU were examined. The study from an academic perspective contains information covering Resources, Activities, Academic Performance, and Transfer Performance. The demand for new healthcare innovations, and especially innovation training programs that address challenges, developed collaboratively with the respective stakeholders, is increasing. Additionally, there is a growing expectation that innovation needs to reach the market quickly and be implemented accordingly. A Healthcare Innovation Ecosystem, where different entities function as a productive unit with a shared vision and committed to application-driven research and technology transfer, will increase innovation's success and adaptation.\n
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\n \n\n \n \n \n \n \n \n BODYTUNE: Multi Auscultation Device – Personal Health Parameter Monitoring at Home.\n \n \n \n \n\n\n \n Salvi, R.; Fuentealba, P.; Henze, J.; Burmann, A.; Spiller, M.; Hellwig, S.; Faldemolaei, N.; Boese, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 5–8. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"BODYTUNE:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{salvi_bodytune_2021,\n\ttitle = {{BODYTUNE}: {Multi} {Auscultation} {Device} – {Personal} {Health} {Parameter} {Monitoring} at {Home}},\n\tvolume = {7},\n\tissn = {2364-5504},\n\tshorttitle = {{BODYTUNE}},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2002/html},\n\tdoi = {10.1515/cdbme-2021-2002},\n\tabstract = {Auscultation methods allow the non-invasive diagnosis of pathological conditions (e.g., of the lung, heart or blood vessels) based on sounds that the body produces (e.g., breathing, heartbeat, swallowing or the blood flow). Through regular homebased examinations and Big Data combined with Machine learning techniques like Deep Learning, these could help detect diseases in an early stage, thus preventing serious health conditions and subsequently ensuring optimal therapy through continuous monitoring. This paper presents BODYTUNE, a novel inexpensive multi-auscultation system that aims at providing a tool for establishing a baseline of audio signal derived classification parameters that could be used for the self-monitoring of personal health for everybody through the analysis of deviations from that baseline. In the future, Big Data analysis could additionally lead to prediction and early detection of disease events.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Salvi, Rutuja and Fuentealba, Patricio and Henze, Jasmin and Burmann, Anja and Spiller, Moritz and Hellwig, Stefan and Faldemolaei, Niki and Boese, Axel and Illanes, Alfredo and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Auscultation Cardiovascular, Continuouse wavelet transform (CWT), Neurovascular, Personal health, Phonoangiography, Respiratory Disorder, Spectral Analysis, home monitoring},\n\tpages = {5--8},\n}\n\n
\n
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\n Auscultation methods allow the non-invasive diagnosis of pathological conditions (e.g., of the lung, heart or blood vessels) based on sounds that the body produces (e.g., breathing, heartbeat, swallowing or the blood flow). Through regular homebased examinations and Big Data combined with Machine learning techniques like Deep Learning, these could help detect diseases in an early stage, thus preventing serious health conditions and subsequently ensuring optimal therapy through continuous monitoring. This paper presents BODYTUNE, a novel inexpensive multi-auscultation system that aims at providing a tool for establishing a baseline of audio signal derived classification parameters that could be used for the self-monitoring of personal health for everybody through the analysis of deviations from that baseline. In the future, Big Data analysis could additionally lead to prediction and early detection of disease events.\n
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\n \n\n \n \n \n \n \n \n Carotid Sound Signal Artifact Detection based on Discrete Wavelet Transform Decomposition.\n \n \n \n \n\n\n \n Fuentealba, P.; Salvi, R.; Henze, J.; Burmann, A.; Boese, A.; Ataide, E.; Spiller, M.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 299–302. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"CarotidPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@article{fuentealba_carotid_2021,\n\ttitle = {Carotid {Sound} {Signal} {Artifact} {Detection} based on {Discrete} {Wavelet} {Transform} {Decomposition}},\n\tvolume = {7},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2076/html},\n\tdoi = {10.1515/cdbme-2021-2076},\n\tabstract = {Auscultation methods allow a non-invasive diagnosis of cardiovascular diseases like atherosclerosis based on blood flow sounds of the carotid arteries. Since this process is highly dependent on the clinician’s experience, it is of great interest to develop automated data processing techniques for objective assessment. We have recently proposed a computerassisted auscultation system that we use to acquire carotid blood flow sounds. In this work, we present an approach for detecting artifacts within the blood flow sound caused by swallowing or coughing events. For this purpose, we first decompose the signal using a discrete wavelet transform (DTW). Then, we compute an energy ratio between the DWT scales associated with the signal information with and without artifacts using a sliding window of 1 s length. Evaluation based on Kruskal-Wallis and Wilcoxon rank-sum tests shows a statistically significant difference (p-value\\&lt;.0001) between the signal with and without artifact. Therefore, the proposed method allows the identification of the studied signal artifacts.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fuentealba, Patricio and Salvi, Rutuja and Henze, Jasmin and Burmann, Anja and Boese, Axel and Ataide, Elmer and Spiller, Moritz and Illanes, Alfredo and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Carotid sound, Discrete Wavelet Transform},\n\tpages = {299--302},\n}\n\n
\n
\n\n\n
\n Auscultation methods allow a non-invasive diagnosis of cardiovascular diseases like atherosclerosis based on blood flow sounds of the carotid arteries. Since this process is highly dependent on the clinician’s experience, it is of great interest to develop automated data processing techniques for objective assessment. We have recently proposed a computerassisted auscultation system that we use to acquire carotid blood flow sounds. In this work, we present an approach for detecting artifacts within the blood flow sound caused by swallowing or coughing events. For this purpose, we first decompose the signal using a discrete wavelet transform (DTW). Then, we compute an energy ratio between the DWT scales associated with the signal information with and without artifacts using a sliding window of 1 s length. Evaluation based on Kruskal-Wallis and Wilcoxon rank-sum tests shows a statistically significant difference (p-value<.0001) between the signal with and without artifact. Therefore, the proposed method allows the identification of the studied signal artifacts.\n
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\n \n\n \n \n \n \n \n \n Towards an intraoperative feedback system for laparoscopic access with the Veress needle: A preliminary interface based on Surgical Audio Guidance.\n \n \n \n \n\n\n \n Spiller, M.; Esmaeili, N.; Sühn, T.; Boese, A.; Turial, S.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 29–32. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{spiller_towards_2021,\n\ttitle = {Towards an intraoperative feedback system for laparoscopic access with the {Veress} needle: {A} preliminary interface based on {Surgical} {Audio} {Guidance}},\n\tvolume = {7},\n\tissn = {2364-5504},\n\tshorttitle = {Towards an intraoperative feedback system for laparoscopic access with the {Veress} needle},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2008/html},\n\tdoi = {10.1515/cdbme-2021-2008},\n\tabstract = {About 50 \\% of complications during laparoscopy occur when surgical access is created. The Veress needle and proposed technical alternatives do not provide reliable information to support the surgeons in guiding the needle, or the feedback is not clearly perceivable. Based on acoustic emissions, Surgical Audio Guidance (SURAG) proposes a non-invasive and efficient way to enhance the perception of guidance information through acoustic and visual feedback displayed in real-time. This article demonstrates that the developed feedback matches the information about tissue layer crossings provided by force measurements. This indicates that SURAG can provide an effective means to make laparoscopic access more precise and safe, especially in pediatric surgery, where space for placing the needle is minimal.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Spiller, Moritz and Esmaeili, Nazila and Sühn, Thomas and Boese, Axel and Turial, Salmai and Friebe, Michael and Illanes, Alfredo},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Laparoscopic access, acoustic emissions, intraoperative feedback, needle guidance, surgical audio guidance},\n\tpages = {29--32},\n}\n\n
\n
\n\n\n
\n About 50 % of complications during laparoscopy occur when surgical access is created. The Veress needle and proposed technical alternatives do not provide reliable information to support the surgeons in guiding the needle, or the feedback is not clearly perceivable. Based on acoustic emissions, Surgical Audio Guidance (SURAG) proposes a non-invasive and efficient way to enhance the perception of guidance information through acoustic and visual feedback displayed in real-time. This article demonstrates that the developed feedback matches the information about tissue layer crossings provided by force measurements. This indicates that SURAG can provide an effective means to make laparoscopic access more precise and safe, especially in pediatric surgery, where space for placing the needle is minimal.\n
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\n \n\n \n \n \n \n \n \n Concept for parallel placement of flexible needles for Irreversible Electroporation.\n \n \n \n \n\n\n \n Arif, H.; Liehr, U. B.; Wendler, J. J.; Friebe, M.; and Boese, A.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 219–222. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ConceptPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{arif_concept_2021,\n\ttitle = {Concept for parallel placement of flexible needles for {Irreversible} {Electroporation}},\n\tvolume = {7},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2056/html},\n\tdoi = {10.1515/cdbme-2021-2056},\n\tabstract = {Irreversible Electroporation (IRE) is a non-thermal tumor ablation treatment applicable for prostate cancer. IRE uses ultra-short but strong electrical pulses to destroy cancer cells nonthermally [1]. Clinically available IRE therapy requires two or more needle electrodes placed around the target tissue to apply the electric fields. A pre-requirement to achieve successful and effective ablation is an accurate and parallel needle placement to cover the tumor zone. Differences in tissue density, organ surface curvature as well as organ and patient motion in combination with long and highly flexible needle electrodes causes’ difficulties to achieve the desired target accuracy during needle placement process. We propose a concept of a shooting mechanism in combination with a grid template support to improve the parallel needle placement process for prostate cancer treatment. Instead of conventionally inserting the needle in the body by hand, it can be placed with high speed using a shooting device setup, that works similar like a biopsy gun.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Arif, Hanbal and Liehr, Uwe Bernd and Wendler, Johann Jakob and Friebe, Michael and Boese, Axel},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Irreversible electroporation, NanoKnife shooter, Parallel needle placement, Prostate cancer, Ultrasound imaging.},\n\tpages = {219--222},\n}\n\n
\n
\n\n\n
\n Irreversible Electroporation (IRE) is a non-thermal tumor ablation treatment applicable for prostate cancer. IRE uses ultra-short but strong electrical pulses to destroy cancer cells nonthermally [1]. Clinically available IRE therapy requires two or more needle electrodes placed around the target tissue to apply the electric fields. A pre-requirement to achieve successful and effective ablation is an accurate and parallel needle placement to cover the tumor zone. Differences in tissue density, organ surface curvature as well as organ and patient motion in combination with long and highly flexible needle electrodes causes’ difficulties to achieve the desired target accuracy during needle placement process. We propose a concept of a shooting mechanism in combination with a grid template support to improve the parallel needle placement process for prostate cancer treatment. Instead of conventionally inserting the needle in the body by hand, it can be placed with high speed using a shooting device setup, that works similar like a biopsy gun.\n
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\n \n\n \n \n \n \n \n \n Hybrid handheld gamma-ultrasound prototype for radioguided surgery: initial results.\n \n \n \n \n\n\n \n Pashazadeh, A.; Lauretta, N. F.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 140–142. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"HybridPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{pashazadeh_hybrid_2021,\n\ttitle = {Hybrid handheld gamma-ultrasound prototype for radioguided surgery: initial results},\n\tvolume = {7},\n\tissn = {2364-5504},\n\tshorttitle = {Hybrid handheld gamma-ultrasound prototype for radioguided surgery},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2036/html},\n\tdoi = {10.1515/cdbme-2021-2036},\n\tabstract = {We have witnessed impressive advances in preoperative imaging of cancer and the development of dualmodality scanners. However, there is a need for a scanner with functional and anatomical imaging capability suitable for surgical settings and radioguided surgery. The current paper introduces a handheld gamma-ultrasound scanner prototype and illustrates the initial result of testing its very first version. The result of the testing was promising and encouraging in continuing the further development of the prototype.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Pashazadeh, Ali and Lauretta, Nana Fomanka and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {gamma-ultrasound scanner, handheld scanner, radioguided surgery},\n\tpages = {140--142},\n}\n\n
\n
\n\n\n
\n We have witnessed impressive advances in preoperative imaging of cancer and the development of dualmodality scanners. However, there is a need for a scanner with functional and anatomical imaging capability suitable for surgical settings and radioguided surgery. The current paper introduces a handheld gamma-ultrasound scanner prototype and illustrates the initial result of testing its very first version. The result of the testing was promising and encouraging in continuing the further development of the prototype.\n
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\n \n\n \n \n \n \n \n \n Image processing-based mTICI grading after endovascular treatment for acute ischemic stroke.\n \n \n \n \n\n\n \n Sabieleish, M.; Thormann, M.; Metzler, J.; Boese, A.; Friebe, M.; Mpotsaris, A.; and Behme, D.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(2): 235–238. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ImagePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{sabieleish_image_2021,\n\ttitle = {Image processing-based {mTICI} grading after endovascular treatment for acute ischemic stroke},\n\tvolume = {7},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-2060/html},\n\tdoi = {10.1515/cdbme-2021-2060},\n\tabstract = {Introduction : The grade of reperfusion after endovascular treatment of ischemic stroke e.g. mechanical thrombectomy is determined based on the mTICI score. The mTICI score shows significant interrater variability; it is usually biased towards better reperfusion results if selfassessed by the operator. We therefore developed a semiautomated image processing technique for assessing and evaluating the degree of reperfusion independently, resulting in a more objective mTICI score. Methods : Fifty angiography datasets of patients who were treated with mechanical thrombectomy for middle cerebral artery (MCA) occlusion were selected from our database. Image datasets were standardized by adjustment of field of view and orientation. Based on pixel intensity features, the internal carotid artery (ICA) curve was detected automatically and used as a starting point for identifying the target downstream territory (TDT) of the MCA on the DSA series. Furthermore, a grid with predefined dimensions was used to divide the TDT into checkzones and be classified as perfused or unperfused. Results: The algorithm detected the TDT and classified each zone of the grid as perfused or unperfused. Lastly, the percentage of the perfused area in the TDT was calculated for each patient and compared to the grading of experienced clinical users. Conclusion : A semi-automatic image-processing workflow was developed to evaluate perfusion rate based on angiographic images. The approach can be used for the objective calculation of the mTICI score. The semi-automatic grading is currently feasible for MCA occlusion but can be extended for other brain territories. The work shows a starting point for a machine learning approach to achieve a fully automated system that can evaluate and give an accurate mTICI score to become a common AI-based grading standard in the coming near future.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-12-13},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Sabieleish, Muhannad and Thormann, Maximilian and Metzler, Jonathan and Boese, Axel and Friebe, Michael and Mpotsaris, Anastasios and Behme, Daniel},\n\tmonth = oct,\n\tyear = {2021},\n\tkeywords = {Stroke, automatic mTICI grading, endovascular treatment, image processing, perfusion.},\n\tpages = {235--238},\n}\n\n
\n
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\n Introduction : The grade of reperfusion after endovascular treatment of ischemic stroke e.g. mechanical thrombectomy is determined based on the mTICI score. The mTICI score shows significant interrater variability; it is usually biased towards better reperfusion results if selfassessed by the operator. We therefore developed a semiautomated image processing technique for assessing and evaluating the degree of reperfusion independently, resulting in a more objective mTICI score. Methods : Fifty angiography datasets of patients who were treated with mechanical thrombectomy for middle cerebral artery (MCA) occlusion were selected from our database. Image datasets were standardized by adjustment of field of view and orientation. Based on pixel intensity features, the internal carotid artery (ICA) curve was detected automatically and used as a starting point for identifying the target downstream territory (TDT) of the MCA on the DSA series. Furthermore, a grid with predefined dimensions was used to divide the TDT into checkzones and be classified as perfused or unperfused. Results: The algorithm detected the TDT and classified each zone of the grid as perfused or unperfused. Lastly, the percentage of the perfused area in the TDT was calculated for each patient and compared to the grading of experienced clinical users. Conclusion : A semi-automatic image-processing workflow was developed to evaluate perfusion rate based on angiographic images. The approach can be used for the objective calculation of the mTICI score. The semi-automatic grading is currently feasible for MCA occlusion but can be extended for other brain territories. The work shows a starting point for a machine learning approach to achieve a fully automated system that can evaluate and give an accurate mTICI score to become a common AI-based grading standard in the coming near future.\n
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\n \n\n \n \n \n \n \n \n Deep Convolution Neural Network for Laryngeal Cancer Classification on Contact Endoscopy-Narrow Band Imaging.\n \n \n \n \n\n\n \n Esmaeili, N.; Sharaf, E.; Gomes Ataide, E. J.; Illanes, A.; Boese, A.; Davaris, N.; Arens, C.; Navab, N.; and Friebe, M.\n\n\n \n\n\n\n Sensors, 21(23): 8157. December 2021.\n \n\n\n\n
\n\n\n\n \n \n \"DeepPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{esmaeili_deep_2021,\n\ttitle = {Deep {Convolution} {Neural} {Network} for {Laryngeal} {Cancer} {Classification} on {Contact} {Endoscopy}-{Narrow} {Band} {Imaging}},\n\tvolume = {21},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\turl = {https://www.mdpi.com/1424-8220/21/23/8157},\n\tdoi = {10.3390/s21238157},\n\tabstract = {(1) Background: Contact Endoscopy (CE) and Narrow Band Imaging (NBI) are optical imaging modalities that can provide enhanced and magnified visualization of the superficial vascular networks in the laryngeal mucosa. The similarity of vascular structures between benign and malignant lesions causes a challenge in the visual assessment of CE-NBI images. The main objective of this study is to use Deep Convolutional Neural Networks (DCNN) for the automatic classification of CE-NBI images into benign and malignant groups with minimal human intervention. (2) Methods: A pretrained Res-Net50 model combined with the cut-off-layer technique was selected as the DCNN architecture. A dataset of 8181 CE-NBI images was used during the fine-tuning process in three experiments where several models were generated and validated. The accuracy, sensitivity, and specificity were calculated as the performance metrics in each validation and testing scenario. (3) Results: Out of a total of 72 trained and tested models in all experiments, Model 5 showed high performance. This model is considerably smaller than the full ResNet50 architecture and achieved the testing accuracy of 0.835 on the unseen data during the last experiment. (4) Conclusion: The proposed fine-tuned ResNet50 model showed a high performance to classify CE-NBI images into the benign and malignant groups and has the potential to be part of an assisted system for automatic laryngeal cancer detection.},\n\tlanguage = {en},\n\tnumber = {23},\n\turldate = {2021-12-07},\n\tjournal = {Sensors},\n\tauthor = {Esmaeili, Nazila and Sharaf, Esam and Gomes Ataide, Elmer Jeto and Illanes, Alfredo and Boese, Axel and Davaris, Nikolaos and Arens, Christoph and Navab, Nassir and Friebe, Michael},\n\tmonth = dec,\n\tyear = {2021},\n\tkeywords = {Deep Convolution Neural Network, cancer, classification, contact endoscopy, larynx, narrow band imaging},\n\tpages = {8157},\n}\n\n
\n
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\n (1) Background: Contact Endoscopy (CE) and Narrow Band Imaging (NBI) are optical imaging modalities that can provide enhanced and magnified visualization of the superficial vascular networks in the laryngeal mucosa. The similarity of vascular structures between benign and malignant lesions causes a challenge in the visual assessment of CE-NBI images. The main objective of this study is to use Deep Convolutional Neural Networks (DCNN) for the automatic classification of CE-NBI images into benign and malignant groups with minimal human intervention. (2) Methods: A pretrained Res-Net50 model combined with the cut-off-layer technique was selected as the DCNN architecture. A dataset of 8181 CE-NBI images was used during the fine-tuning process in three experiments where several models were generated and validated. The accuracy, sensitivity, and specificity were calculated as the performance metrics in each validation and testing scenario. (3) Results: Out of a total of 72 trained and tested models in all experiments, Model 5 showed high performance. This model is considerably smaller than the full ResNet50 architecture and achieved the testing accuracy of 0.835 on the unseen data during the last experiment. (4) Conclusion: The proposed fine-tuned ResNet50 model showed a high performance to classify CE-NBI images into the benign and malignant groups and has the potential to be part of an assisted system for automatic laryngeal cancer detection.\n
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\n \n\n \n \n \n \n \n \n Study of needle punctures into soft tissue through audio and force sensing: can audio be a simple alternative for needle guidance?.\n \n \n \n \n\n\n \n Sabieleish, M.; Heryan, K.; Boese, A.; Hansen, C.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n International Journal of Computer Assisted Radiology and Surgery. October 2021.\n \n\n\n\n
\n\n\n\n \n \n \"StudyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{sabieleish_study_2021,\n\ttitle = {Study of needle punctures into soft tissue through audio and force sensing: can audio be a simple alternative for needle guidance?},\n\tissn = {1861-6429},\n\tshorttitle = {Study of needle punctures into soft tissue through audio and force sensing},\n\turl = {https://doi.org/10.1007/s11548-021-02479-x},\n\tdoi = {10.1007/s11548-021-02479-x},\n\tabstract = {Percutaneous needle insertion is one of the most common minimally invasive procedures. The clinician’s experience and medical imaging support are essential to the procedure’s safety. However, imaging comes with inaccuracies due to artifacts, and therefore sensor-based solutions were proposed to improve accuracy. However, sensors are usually embedded in the needle tip, leading to design limitations. A novel concept was proposed for capturing tip–tissue interaction information through audio sensing, showing promising results for needle guidance. This work demonstrates that this audio approach can provide important puncture information by comparing audio and force signal dynamics during insertion.},\n\tlanguage = {en},\n\turldate = {2021-10-18},\n\tjournal = {International Journal of Computer Assisted Radiology and Surgery},\n\tauthor = {Sabieleish, Muhannad and Heryan, Katarzyna and Boese, Axel and Hansen, Christian and Friebe, Michael and Illanes, Alfredo},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n Percutaneous needle insertion is one of the most common minimally invasive procedures. The clinician’s experience and medical imaging support are essential to the procedure’s safety. However, imaging comes with inaccuracies due to artifacts, and therefore sensor-based solutions were proposed to improve accuracy. However, sensors are usually embedded in the needle tip, leading to design limitations. A novel concept was proposed for capturing tip–tissue interaction information through audio sensing, showing promising results for needle guidance. This work demonstrates that this audio approach can provide important puncture information by comparing audio and force signal dynamics during insertion.\n
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\n \n\n \n \n \n \n \n \n Vascular Auscultation of Carotid Artery: Towards Biometric Identification and Verification of Individuals.\n \n \n \n \n\n\n \n Salvi, R.; Fuentealba, P.; Henze, J.; Bisgin, P.; Sühn, T.; Spiller, M.; Burmann, A.; Boese, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Sensors, 21(19): 6656. January 2021.\n \n\n\n\n
\n\n\n\n \n \n \"VascularPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{salvi_vascular_2021,\n\ttitle = {Vascular {Auscultation} of {Carotid} {Artery}: {Towards} {Biometric} {Identification} and {Verification} of {Individuals}},\n\tvolume = {21},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tshorttitle = {Vascular {Auscultation} of {Carotid} {Artery}},\n\turl = {https://www.mdpi.com/1424-8220/21/19/6656},\n\tdoi = {10.3390/s21196656},\n\tabstract = {Background: Biometric sensing is a security method for protecting information and property. State-of-the-art biometric traits are behavioral and physiological in nature. However, they are vulnerable to tampering and forgery. Methods: The proposed approach uses blood flow sounds in the carotid artery as a source of biometric information. A handheld sensing device and an associated desktop application were built. Between 80 and 160 carotid recordings of 11 s in length were acquired from seven individuals each. Wavelet-based signal analysis was performed to assess the potential for biometric applications. Results: The acquired signals per individual proved to be consistent within one carotid sound recording and between multiple recordings spaced by several weeks. The averaged continuous wavelet transform spectra for all cardiac cycles of one recording showed specific spectral characteristics in the time-frequency domain, allowing for the discrimination of individuals, which could potentially serve as an individual fingerprint of the carotid sound. This is also supported by the quantitative analysis consisting of a small convolutional neural network, which was able to differentiate between different users with over 95\\% accuracy. Conclusion: The proposed approach and processing pipeline appeared promising for the discrimination of individuals. The biometrical recognition could clinically be used to obtain and highlight differences from a previously established personalized audio profile and subsequently could provide information on the source of the deviation as well as on its effects on the individual’s health. The limited number of individuals and recordings require a study in a larger population along with an investigation of the long-term spectral stability of carotid sounds to assess its potential as a biometric marker. Nevertheless, the approach opens the perspective for automatic feature extraction and classification.},\n\tlanguage = {en},\n\tnumber = {19},\n\turldate = {2021-10-07},\n\tjournal = {Sensors},\n\tauthor = {Salvi, Rutuja and Fuentealba, Patricio and Henze, Jasmin and Bisgin, Pinar and Sühn, Thomas and Spiller, Moritz and Burmann, Anja and Boese, Axel and Illanes, Alfredo and Friebe, Michael},\n\tmonth = jan,\n\tyear = {2021},\n\tkeywords = {authentication, biometric, carotid artery, spoofing, vascular sounds},\n\tpages = {6656},\n}\n\n
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\n Background: Biometric sensing is a security method for protecting information and property. State-of-the-art biometric traits are behavioral and physiological in nature. However, they are vulnerable to tampering and forgery. Methods: The proposed approach uses blood flow sounds in the carotid artery as a source of biometric information. A handheld sensing device and an associated desktop application were built. Between 80 and 160 carotid recordings of 11 s in length were acquired from seven individuals each. Wavelet-based signal analysis was performed to assess the potential for biometric applications. Results: The acquired signals per individual proved to be consistent within one carotid sound recording and between multiple recordings spaced by several weeks. The averaged continuous wavelet transform spectra for all cardiac cycles of one recording showed specific spectral characteristics in the time-frequency domain, allowing for the discrimination of individuals, which could potentially serve as an individual fingerprint of the carotid sound. This is also supported by the quantitative analysis consisting of a small convolutional neural network, which was able to differentiate between different users with over 95% accuracy. Conclusion: The proposed approach and processing pipeline appeared promising for the discrimination of individuals. The biometrical recognition could clinically be used to obtain and highlight differences from a previously established personalized audio profile and subsequently could provide information on the source of the deviation as well as on its effects on the individual’s health. The limited number of individuals and recordings require a study in a larger population along with an investigation of the long-term spectral stability of carotid sounds to assess its potential as a biometric marker. Nevertheless, the approach opens the perspective for automatic feature extraction and classification.\n
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\n \n\n \n \n \n \n \n \n A Structured Pathway Toward Disruption: A Novel HealthTec Innovation Design Curriculum With Entrepreneurship in Mind.\n \n \n \n \n\n\n \n Fritzsche, H.; Barbazzeni, B.; Mahmeen, M.; Haider, S.; and Friebe, M.\n\n\n \n\n\n\n Frontiers in Public Health, 9: 1300. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{fritzsche_structured_2021,\n\ttitle = {A {Structured} {Pathway} {Toward} {Disruption}: {A} {Novel} {HealthTec} {Innovation} {Design} {Curriculum} {With} {Entrepreneurship} in {Mind}},\n\tvolume = {9},\n\tissn = {2296-2565},\n\tshorttitle = {A {Structured} {Pathway} {Toward} {Disruption}},\n\turl = {https://www.frontiersin.org/article/10.3389/fpubh.2021.715768},\n\tdoi = {10.3389/fpubh.2021.715768},\n\tabstract = {The typical curriculum of training and educating future clinicians, biomedical engineers, health IT, and artificial intelligence experts lacks needed twenty first-century skills like problem-solving, stakeholder empathy, curiosity stimulation, entrepreneurship, and health economics, which are essential generators and are pre-requirements for creating intentional disruptive innovations. Moreover, the translation from research to a valuable and affordable product/process innovation is not formalized by the current teachings that focus on short-term rather than long-term developments, leading to inaccurate and incremental forecasting on the future of healthcare and longevity. The Stanford Biodesign approach of unmet clinical need detection would be an excellent starting methodology for health-related innovation work, although unfortunately not widely taught yet. We have developed a novel lecture titled HealthTec Innovation Design (HTID) offered in an interdisciplinary setup to medical students and biomedical engineers. It teaches a future-oriented view and the application and effects of exponential trends. We implemented a novel approach using the Purpose Launchpad meta-methodology combined with other innovation generation tools to define, experiment, and validate existing project ideas. As part of the process of defining the novel curriculum, we used experimentation methods, like a global science fiction event to create a comic book with Future Health stories and an Innovation Think Tank Certification Program of a large medical technology company that is focused on identifying future health opportunities. We conducted before and after surveys and concluded that the proposed initiatives were impactful in developing an innovative design thinking approach. Participants' awareness and enthusiasm were raised, including their willingness to implement taught skills, values, and methods in their working projects. We conclude that a new curriculum based on HTID is essential and needed to move the needle of healthcare activities from treating sickness to maintaining health.},\n\turldate = {2021-09-07},\n\tjournal = {Frontiers in Public Health},\n\tauthor = {Fritzsche, Holger and Barbazzeni, Beatrice and Mahmeen, Mohd and Haider, Sultan and Friebe, Michael},\n\tyear = {2021},\n\tpages = {1300},\n}\n\n
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\n The typical curriculum of training and educating future clinicians, biomedical engineers, health IT, and artificial intelligence experts lacks needed twenty first-century skills like problem-solving, stakeholder empathy, curiosity stimulation, entrepreneurship, and health economics, which are essential generators and are pre-requirements for creating intentional disruptive innovations. Moreover, the translation from research to a valuable and affordable product/process innovation is not formalized by the current teachings that focus on short-term rather than long-term developments, leading to inaccurate and incremental forecasting on the future of healthcare and longevity. The Stanford Biodesign approach of unmet clinical need detection would be an excellent starting methodology for health-related innovation work, although unfortunately not widely taught yet. We have developed a novel lecture titled HealthTec Innovation Design (HTID) offered in an interdisciplinary setup to medical students and biomedical engineers. It teaches a future-oriented view and the application and effects of exponential trends. We implemented a novel approach using the Purpose Launchpad meta-methodology combined with other innovation generation tools to define, experiment, and validate existing project ideas. As part of the process of defining the novel curriculum, we used experimentation methods, like a global science fiction event to create a comic book with Future Health stories and an Innovation Think Tank Certification Program of a large medical technology company that is focused on identifying future health opportunities. We conducted before and after surveys and concluded that the proposed initiatives were impactful in developing an innovative design thinking approach. Participants' awareness and enthusiasm were raised, including their willingness to implement taught skills, values, and methods in their working projects. We conclude that a new curriculum based on HTID is essential and needed to move the needle of healthcare activities from treating sickness to maintaining health.\n
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\n \n\n \n \n \n \n \n \n Collaborative Robot as Scrub Nurse.\n \n \n \n \n\n\n \n Muralidhar, D.; Sirasala, S.; Jammalamadaka, V.; Spiller, M.; Sühn, T.; Illanes, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 7(1): 162–165. August 2021.\n \n\n\n\n
\n\n\n\n \n \n \"CollaborativePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{muralidhar_collaborative_2021,\n\ttitle = {Collaborative {Robot} as {Scrub} {Nurse}},\n\tvolume = {7},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2021-1035/html},\n\tdoi = {10.1515/cdbme-2021-1035},\n\tabstract = {Under-staffing of nurses is a significant problem in most countries. It is expected to rise in the coming years, making it challenging to perform crucial tasks like assessing a patient's condition, assisting the surgeon in medical procedures, catheterization and Blood Transfusion etc., Automation of some essential tasks would be a viable idea to overcome this shortage of nurses. One such task intended to automate is the role of a 'Scrub Nurse' by using a robotic arm to hand over the surgical instruments. In this project, we propose to use a Collaborative Robotic-arm as a Scrub nurse that can be controlled with voice commands. The robotic arm was programmed to reach the specified position of the instruments placed on the table equipped with a voice recognition module to recognize the requested surgical instrument. When the Surgeon says "Pick Instrument", the arm picks up the instrument from the table and moves it over to the prior defined handover position. The Surgeon can take over the instrument by saying the command "Drop". Safe pathways for automatic movement of arm and handover position will be predefined by the Surgeon manually. This concept was developed considering the convenience of the Surgeon and the patient's safety, tested for collision, noisy environments, positioning failures and accuracy in grasping the instruments. Limitations that need to be considered in future work are the recognition of voice commands which as well as the returning of the instruments by the surgeon in a practical and safe way.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2021-09-07},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Muralidhar, Deutschland and Sirasala, Shiva and Jammalamadaka, Venkata and Spiller, Moritz and Sühn, Thomas and Illanes, Alfredo and Boese, Axel and Friebe, Michael},\n\tmonth = aug,\n\tyear = {2021},\n\tpages = {162--165},\n}\n\n
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\n Under-staffing of nurses is a significant problem in most countries. It is expected to rise in the coming years, making it challenging to perform crucial tasks like assessing a patient's condition, assisting the surgeon in medical procedures, catheterization and Blood Transfusion etc., Automation of some essential tasks would be a viable idea to overcome this shortage of nurses. One such task intended to automate is the role of a 'Scrub Nurse' by using a robotic arm to hand over the surgical instruments. In this project, we propose to use a Collaborative Robotic-arm as a Scrub nurse that can be controlled with voice commands. The robotic arm was programmed to reach the specified position of the instruments placed on the table equipped with a voice recognition module to recognize the requested surgical instrument. When the Surgeon says \"Pick Instrument\", the arm picks up the instrument from the table and moves it over to the prior defined handover position. The Surgeon can take over the instrument by saying the command \"Drop\". Safe pathways for automatic movement of arm and handover position will be predefined by the Surgeon manually. This concept was developed considering the convenience of the Surgeon and the patient's safety, tested for collision, noisy environments, positioning failures and accuracy in grasping the instruments. Limitations that need to be considered in future work are the recognition of voice commands which as well as the returning of the instruments by the surgeon in a practical and safe way.\n
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\n \n\n \n \n \n \n \n \n From 'bench to bedside and back’: Rethinking MedTec innovation and technology transfer through a dedicated Makerlab.\n \n \n \n \n\n\n \n Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n The Journal of Health Design, 6(2). July 2021.\n \n\n\n\n
\n\n\n\n \n \n \"FromPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{fritzsche_bench_2021,\n\ttitle = {From 'bench to bedside and back’: {Rethinking} {MedTec} innovation and technology transfer through a dedicated {Makerlab}},\n\tvolume = {6},\n\tissn = {2206-785X},\n\tshorttitle = {From 'bench to bedside and back’},\n\turl = {https://www.journalofhealthdesign.com/JHD/article/view/133},\n\tabstract = {This research protocol paper presents key lessons learned at  Innolab IGT, a medical, technology, and innovation laboratory that has short distances between operating rooms and labs, responsive communication, and the ability to identify clinical needs directly.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2021-08-02},\n\tjournal = {The Journal of Health Design},\n\tauthor = {Fritzsche, Holger and Boese, Axel and Friebe, Michael},\n\tmonth = jul,\n\tyear = {2021},\n}\n\n
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\n This research protocol paper presents key lessons learned at Innolab IGT, a medical, technology, and innovation laboratory that has short distances between operating rooms and labs, responsive communication, and the ability to identify clinical needs directly.\n
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\n \n\n \n \n \n \n \n Image processing-based mTICI grading after endovascular treatment for acute ischemic stroke.\n \n \n \n\n\n \n Sabieleish, M.; Thormann, M.; Metzler, J.; Boese, A.; Friebe, M.; Mpotsaris, A.; and Behme, D.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{sabieleish_image_2021-1,\n\taddress = {Hannover, Germany},\n\ttitle = {Image processing-based {mTICI} grading after endovascular treatment for acute ischemic stroke},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Sabieleish, Muhannad and Thormann, Maximilian and Metzler, Jonathan and Boese, Axel and Friebe, Michael and Mpotsaris, Anastasios and Behme, Daniel},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n \n Soft tissue needle punctures—a study using acoustic emission and force.\n \n \n \n \n\n\n \n Illanes, A.; Sabieleish, M.; Heryan, K.; Boese, A.; and Friebe, M. H.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 16, pages 57, June 2021. \n \n\n\n\n
\n\n\n\n \n \n \"SoftPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_soft_2021,\n\ttitle = {Soft tissue needle punctures—a study using acoustic emission and force},\n\tvolume = {16},\n\tshorttitle = {{CARS} 2021},\n\turl = {https://link.springer.com/10.1007/s11548-021-02375-4},\n\tdoi = {10.1007/s11548-021-02375-4},\n\tlanguage = {en},\n\turldate = {2021-06-21},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Illanes, Alfredo and Sabieleish, Muhannad and Heryan, Katarzyna and Boese, Axel and Friebe, Michael H.},\n\tmonth = jun,\n\tyear = {2021},\n\tpages = {57},\n}\n\n
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\n \n\n \n \n \n \n \n \n Leukoplakia lesion classification in Larynx contact endoscopy—narrow band imaging: preliminary results of a manual versus an automatic approach.\n \n \n \n \n\n\n \n Esmaeili, N.; Illanes, A.; Boese, A.; Davaris, N.; Arens, C.; Navab, N.; and Friebe, M. H.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 16, pages 73, June 2021. \n \n\n\n\n
\n\n\n\n \n \n \"LeukoplakiaPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{esmaeili_leukoplakia_2021,\n\ttitle = {Leukoplakia lesion classification in {Larynx} contact endoscopy—narrow band imaging: preliminary results of a manual versus an automatic approach},\n\tvolume = {16},\n\tshorttitle = {{CARS} 2021},\n\turl = {https://link.springer.com/10.1007/s11548-021-02375-4},\n\tdoi = {10.1007/s11548-021-02375-4},\n\tlanguage = {en},\n\turldate = {2021-06-21},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Esmaeili, Nazila and Illanes, Alfredo and Boese, Axel and Davaris, Nikolaos and Arens, Christoph and Navab, Nassir and Friebe, Michael H.},\n\tmonth = jun,\n\tyear = {2021},\n\tpages = {73},\n}\n\n
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\n \n\n \n \n \n \n \n \n Needle puncture analysis using audio excitations during tissue insertions.\n \n \n \n \n\n\n \n Sabieleish, M.; Heryan, K.; Boese, A.; Friebe, M. H.; and Illanes, A.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 16, pages 48, June 2021. \n \n\n\n\n
\n\n\n\n \n \n \"NeedlePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sabieleish_needle_2021,\n\ttitle = {Needle puncture analysis using audio excitations during tissue insertions},\n\tvolume = {16},\n\tshorttitle = {{CARS} 2021},\n\turl = {https://link.springer.com/10.1007/s11548-021-02375-4},\n\tdoi = {10.1007/s11548-021-02375-4},\n\tlanguage = {en},\n\turldate = {2021-06-21},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Sabieleish, Muhannad and Heryan, Katarzyna and Boese, Axel and Friebe, Michael H. and Illanes, Alfredo},\n\tmonth = jun,\n\tyear = {2021},\n\tpages = {48},\n}\n\n
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\n \n\n \n \n \n \n \n \n Intraoperative feedback for laparoscopic access with surgical audio guidance.\n \n \n \n \n\n\n \n Spiller, M.; Suehn, T.; Esmaeili, N.; Boese, A.; Friebe, M. H.; and Illanes, A.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 16, pages 99, June 2021. \n \n\n\n\n
\n\n\n\n \n \n \"IntraoperativePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{spiller_intraoperative_2021,\n\ttitle = {Intraoperative feedback for laparoscopic access with surgical audio guidance},\n\tvolume = {16},\n\tshorttitle = {{CARS} 2021},\n\turl = {https://link.springer.com/10.1007/s11548-021-02375-4},\n\tdoi = {10.1007/s11548-021-02375-4},\n\tlanguage = {en},\n\turldate = {2021-06-21},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Spiller, Moritz and Suehn, T. and Esmaeili, Nazila and Boese, Axel and Friebe, Michael H. and Illanes, Alfredo},\n\tmonth = jun,\n\tyear = {2021},\n\tpages = {99},\n}\n\n
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\n \n\n \n \n \n \n \n \n Cyclist Effort Features: A Novel Technique for Image Texture Characterization Applied to Larynx Cancer Classification in Contact Endoscopy—Narrow Band Imaging.\n \n \n \n \n\n\n \n Esmaeili, N.; Boese, A.; Davaris, N.; Arens, C.; Navab, N.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Diagnostics, 11(3): 432. March 2021.\n \n\n\n\n
\n\n\n\n \n \n \"CyclistPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{esmaeili_cyclist_2021,\n\ttitle = {Cyclist {Effort} {Features}: {A} {Novel} {Technique} for {Image} {Texture} {Characterization} {Applied} to {Larynx} {Cancer} {Classification} in {Contact} {Endoscopy}—{Narrow} {Band} {Imaging}},\n\tvolume = {11},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tshorttitle = {Cyclist {Effort} {Features}},\n\turl = {https://www.mdpi.com/2075-4418/11/3/432},\n\tdoi = {10.3390/diagnostics11030432},\n\tabstract = {Background: Feature extraction is an essential part of a Computer-Aided Diagnosis (CAD) system. It is usually preceded by a pre-processing step and followed by image classification. Usually, a large number of features is needed to end up with the desired classification results. In this work, we propose a novel approach for texture feature extraction. This method was tested on larynx Contact Endoscopy (CE)—Narrow Band Imaging (NBI) image classification to provide more objective information for otolaryngologists regarding the stage of the laryngeal cancer. Methods: The main idea of the proposed methods is to represent an image as a hilly surface, where different paths can be identified between a starting and an ending point. Each of these paths can be thought of as a Tour de France stage profile where a cyclist needs to perform a specific effort to arrive at the finish line. Several paths can be generated in an image where different cyclists produce an average cyclist effort representing important textural characteristics of the image. Energy and power as two Cyclist Effort Features (CyEfF) were extracted using this concept. The performance of the proposed features was evaluated for the classification of 2701 CE-NBI images into benign and malignant lesions using four supervised classifiers and subsequently compared with the performance of 24 Geometrical Features (GF) and 13 Entropy Features (EF). Results: The CyEfF features showed maximum classification accuracy of 0.882 and improved the GF classification accuracy by 3 to 12 percent. Moreover, CyEfF features were ranked as the top 10 features along with some features from GF set in two feature ranking methods. Conclusion: The results prove that CyEfF with only two features can describe the textural characterization of CE-NBI images and can be part of the CAD system in combination with GF for laryngeal cancer diagnosis.},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2021-03-04},\n\tjournal = {Diagnostics},\n\tauthor = {Esmaeili, Nazila and Boese, Axel and Davaris, Nikolaos and Arens, Christoph and Navab, Nassir and Friebe, Michael and Illanes, Alfredo},\n\tmonth = mar,\n\tyear = {2021},\n\tkeywords = {classification, contact endoscopy, larynx, narrow band imaging, texture feature extraction},\n\tpages = {432},\n}\n\n
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\n Background: Feature extraction is an essential part of a Computer-Aided Diagnosis (CAD) system. It is usually preceded by a pre-processing step and followed by image classification. Usually, a large number of features is needed to end up with the desired classification results. In this work, we propose a novel approach for texture feature extraction. This method was tested on larynx Contact Endoscopy (CE)—Narrow Band Imaging (NBI) image classification to provide more objective information for otolaryngologists regarding the stage of the laryngeal cancer. Methods: The main idea of the proposed methods is to represent an image as a hilly surface, where different paths can be identified between a starting and an ending point. Each of these paths can be thought of as a Tour de France stage profile where a cyclist needs to perform a specific effort to arrive at the finish line. Several paths can be generated in an image where different cyclists produce an average cyclist effort representing important textural characteristics of the image. Energy and power as two Cyclist Effort Features (CyEfF) were extracted using this concept. The performance of the proposed features was evaluated for the classification of 2701 CE-NBI images into benign and malignant lesions using four supervised classifiers and subsequently compared with the performance of 24 Geometrical Features (GF) and 13 Entropy Features (EF). Results: The CyEfF features showed maximum classification accuracy of 0.882 and improved the GF classification accuracy by 3 to 12 percent. Moreover, CyEfF features were ranked as the top 10 features along with some features from GF set in two feature ranking methods. Conclusion: The results prove that CyEfF with only two features can describe the textural characterization of CE-NBI images and can be part of the CAD system in combination with GF for laryngeal cancer diagnosis.\n
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\n \n\n \n \n \n \n \n \n Innovation design for image guided therapies with disruption in mind—novel methodology for exploration, evaluation and impact generation.\n \n \n \n \n\n\n \n Friebe, M. H.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 16, pages 32, June 2021. \n \n\n\n\n
\n\n\n\n \n \n \"InnovationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{friebe_innovation_2021,\n\ttitle = {Innovation design for image guided therapies with disruption in mind—novel methodology for exploration, evaluation and impact generation},\n\tvolume = {16},\n\tshorttitle = {{CARS} 2021},\n\turl = {https://link.springer.com/10.1007/s11548-021-02375-4},\n\tdoi = {10.1007/s11548-021-02375-4},\n\tlanguage = {en},\n\turldate = {2021-06-21},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Friebe, Michael H.},\n\tmonth = jun,\n\tyear = {2021},\n\tpages = {32},\n}\n\n
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\n \n\n \n \n \n \n \n \n Deep convolution neural network for laryngeal cancer classification on contact endoscopy—narrow band imaging via transfer learning.\n \n \n \n \n\n\n \n Sharaf, E.; Ataide, E. J. G.; Esmaeili, N.; Davaris, N.; Arens, C.; and Friebe, M. H.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 16, pages 63, June 2021. \n \n\n\n\n
\n\n\n\n \n \n \"DeepPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sharaf_deep_2021,\n\ttitle = {Deep convolution neural network for laryngeal cancer classification on contact endoscopy—narrow band imaging via transfer learning},\n\tvolume = {16},\n\tshorttitle = {{CARS} 2021},\n\turl = {https://link.springer.com/10.1007/s11548-021-02375-4},\n\tdoi = {10.1007/s11548-021-02375-4},\n\tlanguage = {en},\n\turldate = {2021-06-21},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Sharaf, E. and Ataide, Elmer Jeto Gomes and Esmaeili, Nazila and Davaris, Nikolaos and Arens, Christoph and Friebe, Michael H.},\n\tmonth = jun,\n\tyear = {2021},\n\tpages = {63},\n}\n\n
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\n \n\n \n \n \n \n \n Surgical Audio Guidance - SURAG: Empowering surgeons with a new perception.\n \n \n \n\n\n \n Illanes, A.; Spiller, M.; Esmaeili, N.; Thomas Sühn; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{illanes_surgical_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Surgical {Audio} {Guidance} - {SURAG}: {Empowering} surgeons with a new perception},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Illanes, Alfredo and Spiller, Moritz and Esmaeili, Nazila and {Thomas Sühn} and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Carotid Sound Signal Artifact Rejection based on a Discrete Wavelet Transform Decomposition.\n \n \n \n\n\n \n Fuentealba, P.; Salvi, R.; Henze, J.; Burmann, A.; Boese, A.; Spiller, M.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{fuentealba_carotid_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Carotid {Sound} {Signal} {Artifact} {Rejection} based on a {Discrete} {Wavelet} {Transform} {Decomposition}},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Fuentealba, Patricio and Salvi, Rutuja and Henze, Jasmin and Burmann, Anja and Boese, Axel and Spiller, Moritz and Illanes, Alfredo and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Voice Controlled Collaborative Robot as Scrub Nurse.\n \n \n \n\n\n \n Kuluru, M.; Sirasala, S.; Jammalamadaka, V.; Moritz Spiller; Sühn, T.; Boese, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In CURAC Annual Meeting of the German Society for Computer- and Robot-Assisted Surgery, Düsseldorf, Germany, September 2021. \n \n\n\n\n
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@inproceedings{kuluru_voice_2021,\n\taddress = {Düsseldorf, Germany},\n\ttitle = {Voice {Controlled} {Collaborative} {Robot} as {Scrub} {Nurse}},\n\tbooktitle = {{CURAC} {Annual} {Meeting} of the {German} {Society} for {Computer}- and {Robot}-{Assisted} {Surgery}},\n\tauthor = {Kuluru, Muralidhar and Sirasala, Shiva and Jammalamadaka, Venkata and {Moritz Spiller} and Sühn, Thomas and Boese, Axel and Illanes, Alfredo and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n State-of-the-Art: Biodesign based Innovation Ecosystems in Europe.\n \n \n \n\n\n \n Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{fritzsche_state---art_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {State-of-the-{Art}: {Biodesign} based {Innovation} {Ecosystems} in {Europe}},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Fritzsche, Holger and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Handheld gamma-ultrasound scanner prototype for use in radio-guided surgery and initial results.\n \n \n \n\n\n \n Pashazadeh, A.; Lauretta, N.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{pashazadeh_handheld_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Handheld gamma-ultrasound scanner prototype for use in radio-guided surgery and initial results},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Pashazadeh, Ali and Lauretta, Nana and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Towards an Intraoperative Feedback System for Veress Needle Insertion - a User-Centered Approach.\n \n \n \n\n\n \n Spiller, M.; Sühn, T.; Esmaeili, N.; Boese, A.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{spiller_towards_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Towards an {Intraoperative} {Feedback} {System} for {Veress} {Needle} {Insertion} - a {User}-{Centered} {Approach}},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Spiller, Moritz and Sühn, Thomas and Esmaeili, Nazila and Boese, Axel and Friebe, Michael and Illanes, Alfredo},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Voice-Controlled Collaborative Robot for Surgical Instrument Handover.\n \n \n \n\n\n \n Kuluru, M.; Sirasala, S.; Jammalamadaka, V.; Moritz Spiller; Sühn, T.; Boese, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{kuluru_voice-controlled_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Voice-{Controlled} {Collaborative} {Robot} for {Surgical} {Instrument} {Handover}},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Kuluru, Muralidhar and Sirasala, Shiva and Jammalamadaka, Venkata and {Moritz Spiller} and Sühn, Thomas and Boese, Axel and Illanes, Alfredo and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Sensor-based measurement for advanced monitoring and early detection of PE wear in total knee arthroplasties.\n \n \n \n\n\n \n Schaufler, A.; Fritzsche, H.; Bertrand, J.; Christoph Lohmann; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{schaufler_sensor-based_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Sensor-based measurement for advanced monitoring and early detection of {PE} wear in total knee arthroplasties},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Schaufler, Anna and Fritzsche, Holger and Bertrand, Jessica and {Christoph Lohmann} and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Concept for parallel placement of flexible needles for Irreversible Electroporation.\n \n \n \n\n\n \n Boese, A.; Arif, H.; Liehr, U.; Wendler, J.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{boese_concept_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Concept for parallel placement of flexible needles for {Irreversible} {Electroporation}},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Boese, Axel and Arif, Hanbal and Liehr, Uwe-Bernd and Wendler, Johann and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n BODYTUNE: Multi Auscultation Device - Personal Health Parameter Monitoring at Home using Audio Profile Characterization.\n \n \n \n\n\n \n Salvi, R.; Spiller, M.; Illanes, A.; Boese, A.; Hellwig, S.; Burmann, A.; Henze, J.; Fuentealba, P.; Faldemolaei, N.; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{salvi_bodytune_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {{BODYTUNE}: {Multi} {Auscultation} {Device} - {Personal} {Health} {Parameter} {Monitoring} at {Home} using {Audio} {Profile} {Characterization}},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Salvi, Rutuja and Spiller, Moritz and Illanes, Alfredo and Boese, Axel and Hellwig, Stefan and Burmann, Anja and Henze, Jasmin and Fuentealba, Patricio and Faldemolaei, Niki and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Novel Contrast Media Injection Platform - easyJECTOR - Disruption by focusing on Unmet Clinical Needs.\n \n \n \n\n\n \n Friebe, M.; Boese, A.; Hellwig, S.; and Andreae, T.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{friebe_novel_2021,\n\taddress = {Hannover, Germany},\n\ttitle = {Novel {Contrast} {Media} {Injection} {Platform} - {easyJECTOR} - {Disruption} by focusing on {Unmet} {Clinical} {Needs}},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Friebe, Michael and Boese, Axel and Hellwig, Stefan and Andreae, Thomas},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n A concept for a surgical assistant robot in the operating room.\n \n \n \n\n\n \n Boese, A.; Yamashita, K.; Spiller, M.; Sühn, T.; Fritzsche, H.; Liehr, U.; Wendler, J.; Alfredo Illanes; and Friebe, M.\n\n\n \n\n\n\n In 55th Annual Conference of the German Society for Biomedical Engineering (BMT 2021), Hannover, Germany, October 2021. \n \n\n\n\n
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@inproceedings{boese_concept_2021-1,\n\taddress = {Hannover, Germany},\n\ttitle = {A concept for a surgical assistant robot in the operating room},\n\tbooktitle = {55th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2021)},\n\tauthor = {Boese, Axel and Yamashita, Keisuke and Spiller, Moritz and Sühn, Thomas and Fritzsche, Holger and Liehr, Uwe-Bernd and Wendler, Johann and {Alfredo Illanes} and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2021},\n}\n\n
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\n  \n 2020\n \n \n (36)\n \n \n
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\n \n\n \n \n \n \n \n A new filter system for endoscopic fluorescence detection of Protoporphyrin IX and its direct precursors in PDT and PDD.\n \n \n \n\n\n \n Boese, A.; Wagner, A.; Liehr, U.; Wendler, J.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
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@inproceedings{boese_new_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {A new filter system for endoscopic fluorescence detection of {Protoporphyrin} {IX} and its direct precursors in {PDT} and {PDD}},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Boese, Axel and Wagner, Alexander and Liehr, Uwe-Bernd and Wendler, Johann and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Concept of a flexible endoscope with swiveling camera tip.\n \n \n \n\n\n \n Boese, A.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
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@inproceedings{boese_concept_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Concept of a flexible endoscope with swiveling camera tip},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Boese, Axel and Arens, Christoph and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification.\n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; Poudel, P.; and Frank Ortmeier\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
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@inproceedings{fuentealba_investigating_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Investigating an {Optimal} {Signal} {Epoch} {Length} for {Cardiotocographic} {Classification}},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Fuentealba, Patricio and Illanes, Alfredo and Poudel, Prabal and {Frank Ortmeier}},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n HealthTEC Innovation Design - a proposal for a novel Master degree program based on Unmet Clinical Need, global Healthcare Challenges, and 21st century skills.\n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{friebe_healthtec_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {{HealthTEC} {Innovation} {Design} - a proposal for a novel {Master} degree program based on {Unmet} {Clinical} {Need}, global {Healthcare} {Challenges}, and 21st century skills},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n \n Surgical audio information as base for haptic feedback in robotic-assisted procedures.\n \n \n \n \n\n\n \n Illanes, A.; Schaufler, A.; Sühn, T.; Boese, A.; Croner, R.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(1). September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"SurgicalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{illanes_surgical_2020,\n\ttitle = {Surgical audio information as base for haptic feedback in robotic-assisted procedures},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/1/article-20200036.xml},\n\tdoi = {10.1515/cdbme-2020-0036},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d301e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterThis work aims to demonstrate the feasibility that haptic information can be acquired from a da Vinci robotic tool using audio sensing according to sensor placement requirements in a real clinical scenario. For that, two potential audio sensor locations were studied using an experimental setup for performing, in a repeatable way, interactions of a da Vinci forceps with three different tissues. The obtained audio signals were assessed in terms of their resulting signal-to-noise-ratio (SNR) and their capability to distinguish between different tissues. A spectral energy distribution analysis using Discrete Wavelet Transformation was performed to extract signal signatures from the tested tissues. Results show that a high SNR was obtained in most of the audio recordings acquired from both studied positions. Additionally, evident spectral energy-related patterns could be extracted from the audio signals allowing us to distinguish between different palpated tissues.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2020-09-18},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Illanes, Alfredo and Schaufler, Anna and Sühn, Thomas and Boese, Axel and Croner, Roland and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d301e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterThis work aims to demonstrate the feasibility that haptic information can be acquired from a da Vinci robotic tool using audio sensing according to sensor placement requirements in a real clinical scenario. For that, two potential audio sensor locations were studied using an experimental setup for performing, in a repeatable way, interactions of a da Vinci forceps with three different tissues. The obtained audio signals were assessed in terms of their resulting signal-to-noise-ratio (SNR) and their capability to distinguish between different tissues. A spectral energy distribution analysis using Discrete Wavelet Transformation was performed to extract signal signatures from the tested tissues. Results show that a high SNR was obtained in most of the audio recordings acquired from both studied positions. Additionally, evident spectral energy-related patterns could be extracted from the audio signals allowing us to distinguish between different palpated tissues.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n Surgical Audio Guidance: Feasibility Check for Robotic Surgery Procedures.\n \n \n \n\n\n \n Schaufler, A.; Illanes, A.; Maldonado, I.; Boese, A.; Croner, R.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{schaufler_surgical_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Surgical {Audio} {Guidance}: {Feasibility} {Check} for {Robotic} {Surgery} {Procedures}},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Schaufler, Anna and Illanes, Alfredo and Maldonado, Ivan and Boese, Axel and Croner, Roland and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Test of a thin ureteroscope for imaging of intravascular procedures.\n \n \n \n\n\n \n Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boese_test_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Test of a thin ureteroscope for imaging of intravascular procedures},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Tomographic Ultrasound Neck Scans - Design of an Assistive Device, Testing and comparison to Freehand Scanning.\n \n \n \n\n\n \n Koehler, M.; Ataide, E. G.; Ziegle, J.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{koehler_tomographic_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Tomographic {Ultrasound} {Neck} {Scans} - {Design} of an {Assistive} {Device}, {Testing} and comparison to {Freehand} {Scanning}},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Koehler, Marcel and Ataide, Elmer Gomes and Ziegle, Jens and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n How do we need to adapt Biomedical Engineering Education for the Health 4.0 challenges?.\n \n \n \n\n\n \n Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{fritzsche_how_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {How do we need to adapt {Biomedical} {Engineering} {Education} for the {Health} 4.0 challenges?},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Fritzsche, Holger and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Unmet Clinical Need Database - Innovation Potential from dedicated Bio-Medical Lecture.\n \n \n \n\n\n \n Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{fritzsche_unmet_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Unmet {Clinical} {Need} {Database} - {Innovation} {Potential} from dedicated {Bio}-{Medical} {Lecture}},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Fritzsche, Holger and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Non-invasive, passive acoustic sensing - potential applications in arthroscopic surgery.\n \n \n \n\n\n \n Sühn, T.; Illanes, A.; Boese, A.; Lohmann, C.; Pandey, A.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{suhn_non-invasive_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Non-invasive, passive acoustic sensing - potential applications in arthroscopic surgery},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Sühn, Thomas and Illanes, Alfredo and Boese, Axel and Lohmann, Christoph and Pandey, Ajay and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Transverse dose profile simulation of extruded lines for a 3D printed models for superficial skin cancer therapy.\n \n \n \n\n\n \n Pashazadeh, A.; and Friebe, M.\n\n\n \n\n\n\n In 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), Leipzig, Germany, September 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pashazadeh_transverse_2020,\n\taddress = {Leipzig, Germany},\n\ttitle = {Transverse dose profile simulation of extruded lines for a {3D} printed models for superficial skin cancer therapy},\n\tbooktitle = {54th {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2020)},\n\tauthor = {Pashazadeh, Ali and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n \n Endoscopic filter fluorometer for detection of accumulation of Protoporphyrin IX to improve photodynamic diagnostic (PDD).\n \n \n \n \n\n\n \n Boese, A.; Wagner, A.; Illanes, A.; Liehr, U. B.; Wendler, J. J.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(1). September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"EndoscopicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{boese_endoscopic_2020,\n\ttitle = {Endoscopic filter fluorometer for detection of accumulation of {Protoporphyrin} {IX} to improve photodynamic diagnostic ({PDD})},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/1/article-20200018.xml},\n\tdoi = {10.1515/cdbme-2020-0018},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d31e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterPhotodynamic diagnostic (PDD) is an optical enhancement option for the endoscope to support the detection of cancer, for example in the bladder. In real application PDD efficiency suffers due to the complex accumulation of the photosensitizing drug inside the tumor and the associated processes of heme syntheses to create the fluorescent components needed. To optimize the diagnostic outcome of PDD it would be helpful to predict the optimal time for diagnosis based on measurable precursors. In a previous cell study, we proposed a new filter fluorometer to image the accumulation of the precursors Coproporphyrin III (CP-III) and Uroporphyrin III (UP-III) that metabolize to Protoporphyrin IX (PP-IX) later. This accumulation process can be used to predict the optimal time slot for diagnostic imaging. Therefore, a new filter system was designed to distinguish between CP-III and PP-IX. In this work we tested this filter system in combination with a standard PDD endoscopic imaging system. Goal of this study was to prove the technical feasibility in a non-patient setup to prepare a later clinical study.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2020-09-18},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Wagner, Alexander and Illanes, Alfredo and Liehr, Uwe Bernd and Wendler, Johann Jakob and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d31e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterPhotodynamic diagnostic (PDD) is an optical enhancement option for the endoscope to support the detection of cancer, for example in the bladder. In real application PDD efficiency suffers due to the complex accumulation of the photosensitizing drug inside the tumor and the associated processes of heme syntheses to create the fluorescent components needed. To optimize the diagnostic outcome of PDD it would be helpful to predict the optimal time for diagnosis based on measurable precursors. In a previous cell study, we proposed a new filter fluorometer to image the accumulation of the precursors Coproporphyrin III (CP-III) and Uroporphyrin III (UP-III) that metabolize to Protoporphyrin IX (PP-IX) later. This accumulation process can be used to predict the optimal time slot for diagnostic imaging. Therefore, a new filter system was designed to distinguish between CP-III and PP-IX. In this work we tested this filter system in combination with a standard PDD endoscopic imaging system. Goal of this study was to prove the technical feasibility in a non-patient setup to prepare a later clinical study.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Surveyed impact of intellectual property training in STEM education on innovation, research, and development.\n \n \n \n \n\n\n \n O'Sullivan, S.; Friebe, M.; Tonti, W. R.; Hartnett, M.; Castro, M.; Pozzo, M. I.; and Nilsiam, Y.\n\n\n \n\n\n\n The Journal of World Intellectual Property, 23(5-6): 658–678. August 2020.\n \n\n\n\n
\n\n\n\n \n \n \"SurveyedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{osullivan_surveyed_2020,\n\ttitle = {Surveyed impact of intellectual property training in {STEM} education on innovation, research, and development},\n\tvolume = {23},\n\tissn = {1747-1796},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1111/jwip.12167},\n\tdoi = {https://doi.org/10.1111/jwip.12167},\n\tabstract = {This paper analyzes the findings of an international survey questionnaire to which responses were received from over 500 members from different technical societies of the Institute of Electrical and Electronics Engineers (IEEE). The survey is primarily intended to uncover members' perceptions of patent filing and research-driven innovation. Our thesis statement is twofold. First, the introduction of basic intellectual property (IP) courses to university Science, Technology, Engineering, and Mathematics curricula would teach students valuable basics of IP and associated issues, technology protection; and possibly stimulate novel/innovative R\\&D outcomes. Second, studying relevant active/lapsed/expired patent documents could provide stimulating input for ongoing academic research. After analyzing the survey results we conclude that IP coursework could be a catalyst for students and researchers to explore patent opportunities related to their specific interests. The resulting knowledge would further enable researchers to prepare more compelling funding applications. In our experience, IEEE conference publications are often closely aligned with inventions to solve pressing technical problems. Conference papers typically comprise of cutting-edge research/industry findings, with a short time between paper submission and presentation. Furthermore, conference organizers choose themes representing the forefront of technologies that often lead to inventions. These could fuel patent developments, but academic research environments often provide little if any incentives for academic researchers to prepare and file patent applications. Indeed, the attainment of high impact journal publications remains the primary metric by which research activity is judged and future academic tenure achieved.},\n\tlanguage = {en},\n\tnumber = {5-6},\n\turldate = {2020-11-20},\n\tjournal = {The Journal of World Intellectual Property},\n\tauthor = {O'Sullivan, S. and Friebe, Michael and Tonti, W. R. and Hartnett, Margaret and Castro, Manuel and Pozzo, M. I. and Nilsiam, Y.},\n\tmonth = aug,\n\tyear = {2020},\n\tkeywords = {academic patenting, intellectual property courses, technology transfer, university patenting},\n\tpages = {658--678},\n}\n\n
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\n This paper analyzes the findings of an international survey questionnaire to which responses were received from over 500 members from different technical societies of the Institute of Electrical and Electronics Engineers (IEEE). The survey is primarily intended to uncover members' perceptions of patent filing and research-driven innovation. Our thesis statement is twofold. First, the introduction of basic intellectual property (IP) courses to university Science, Technology, Engineering, and Mathematics curricula would teach students valuable basics of IP and associated issues, technology protection; and possibly stimulate novel/innovative R&D outcomes. Second, studying relevant active/lapsed/expired patent documents could provide stimulating input for ongoing academic research. After analyzing the survey results we conclude that IP coursework could be a catalyst for students and researchers to explore patent opportunities related to their specific interests. The resulting knowledge would further enable researchers to prepare more compelling funding applications. In our experience, IEEE conference publications are often closely aligned with inventions to solve pressing technical problems. Conference papers typically comprise of cutting-edge research/industry findings, with a short time between paper submission and presentation. Furthermore, conference organizers choose themes representing the forefront of technologies that often lead to inventions. These could fuel patent developments, but academic research environments often provide little if any incentives for academic researchers to prepare and file patent applications. Indeed, the attainment of high impact journal publications remains the primary metric by which research activity is judged and future academic tenure achieved.\n
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\n \n\n \n \n \n \n \n \n Frequency and average gray-level information for thermal ablation status in ultrasound B-Mode sequences.\n \n \n \n \n\n\n \n Ziegle, J.; Illanes, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(1). September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"FrequencyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ziegle_frequency_2020,\n\ttitle = {Frequency and average gray-level information for thermal ablation status in ultrasound {B}-{Mode} sequences},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/1/article-20200023.xml},\n\tdoi = {10.1515/cdbme-2020-0023},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d561e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterDuring thermal ablation in a target tissue the information about temperature is crucial for decision making of successful therapy. An observable temporal and spatial temperature propagation would give a visual feedback of irreversible cell damage of the target tissue. Potential temperature features in ultrasound (US) B-Mode image sequences during radiofrequency (RF) ablation in {\\textbackslash}textlessem{\\textbackslash}textgreaterex-vivo{\\textbackslash}textless/em{\\textbackslash}textgreater porcine liver were found and analysed. These features could help to detect the transition between reversible and irreversible damage of the ablated target tissue. Experimental RF ablations of {\\textbackslash}textlessem{\\textbackslash}textgreaterex-vivo{\\textbackslash}textless/em{\\textbackslash}textgreater porcine liver were imaged with US B-Mode imaging and image sequences were recorded. Temperature was simultaneously measured within the liver tissue around a bipolar RF needle electrode. In the B-Mode images, regions of interest (ROIs) around the centre of the measurement spots were analysed in post-processing using average gray-level (AVGL) compared against temperature. The pole of maximum energy level in the time-frequency domain of the AVGL changes was investigated in relation to the measured temperatures. Frequency shifts of the pole were observed which could be related to transitions between the states of tissue damage.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2020-09-18},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Ziegle, Jens and Illanes, Alfredo and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n}\n\n
\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d561e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterDuring thermal ablation in a target tissue the information about temperature is crucial for decision making of successful therapy. An observable temporal and spatial temperature propagation would give a visual feedback of irreversible cell damage of the target tissue. Potential temperature features in ultrasound (US) B-Mode image sequences during radiofrequency (RF) ablation in \\textlessem\\textgreaterex-vivo\\textless/em\\textgreater porcine liver were found and analysed. These features could help to detect the transition between reversible and irreversible damage of the ablated target tissue. Experimental RF ablations of \\textlessem\\textgreaterex-vivo\\textless/em\\textgreater porcine liver were imaged with US B-Mode imaging and image sequences were recorded. Temperature was simultaneously measured within the liver tissue around a bipolar RF needle electrode. In the B-Mode images, regions of interest (ROIs) around the centre of the measurement spots were analysed in post-processing using average gray-level (AVGL) compared against temperature. The pole of maximum energy level in the time-frequency domain of the AVGL changes was investigated in relation to the measured temperatures. Frequency shifts of the pole were observed which could be related to transitions between the states of tissue damage.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Auscultation System for Acquisition of Vascular Sounds – Towards Sound-Based Monitoring of the Carotid Artery.\n \n \n \n \n\n\n \n Sühn, T.; Spiller, M.; Salvi, R.; Hellwig, S.; Boese, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Medical Devices: Evidence and Research,349–364. October 2020.\n \n\n\n\n
\n\n\n\n \n \n \"AuscultationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{suhn_auscultation_2020,\n\ttitle = {Auscultation {System} for {Acquisition} of {Vascular} {Sounds} \\&ndash; {Towards} {Sound}-{Based} {Monitoring} of the {Carotid} {Artery}},\n\turl = {https://www.dovepress.com/auscultation-system-for-acquisition-of-vascular-sounds-ndash-towards-s-peer-reviewed-article-MDER},\n\tdoi = {10.2147/MDER.S268057},\n\tabstract = {Auscultation System for Acquisition of Vascular Sounds \\&ndash; Towards Sound-Based Monitoring of the Carotid Artery},\n\tlanguage = {English},\n\turldate = {2020-11-02},\n\tjournal = {Medical Devices: Evidence and Research},\n\tauthor = {Sühn, Thomas and Spiller, Moritz and Salvi, Rutuja and Hellwig, Stefan and Boese, Axel and Illanes, Alfredo and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2020},\n\tpages = {349--364},\n}\n\n
\n
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\n Auscultation System for Acquisition of Vascular Sounds – Towards Sound-Based Monitoring of the Carotid Artery\n
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\n \n\n \n \n \n \n \n \n Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features.\n \n \n \n \n\n\n \n Gomes Ataide, E. J.; Ponugoti, N.; Illanes, A.; Schenke, S.; Kreissl, M.; and Friebe, M.\n\n\n \n\n\n\n Sensors, 20(21): 6110. October 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ThyroidPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{gomes_ataide_thyroid_2020,\n\ttitle = {Thyroid {Nodule} {Classification} for {Physician} {Decision} {Support} {Using} {Machine} {Learning}-{Evaluated} {Geometric} and {Morphological} {Features}},\n\tvolume = {20},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\turl = {https://www.mdpi.com/1424-8220/20/21/6110},\n\tdoi = {10.3390/s20216110},\n\tabstract = {The classification of thyroid nodules using ultrasound (US) imaging is done using the Thyroid Imaging Reporting and Data System (TIRADS) guidelines that classify nodules based on visual and textural characteristics. These are composition, shape, size, echogenicity, calcifications, margins, and vascularity. This work aims to reduce subjectivity in the current diagnostic process by using geometric and morphological (G-M) features that represent the visual characteristics of thyroid nodules to provide physicians with decision support. A total of 27 G-M features were extracted from images obtained from an open-access US thyroid nodule image database. 11 significant features in accordance with TIRADS were selected from this global feature set. Each feature was labeled (0 = benign and 1 = malignant) and the performance of the selected features was evaluated using machine learning (ML). G-M features together with ML resulted in the classification of thyroid nodules with a high accuracy, sensitivity and specificity. The results obtained here were compared against state-of the-art methods and perform significantly well in comparison. Furthermore, this method can act as a computer aided diagnostic (CAD) system for physicians by providing them with a validation of the TIRADS visual characteristics used for the classification of thyroid nodules in US images.},\n\tlanguage = {en},\n\tnumber = {21},\n\turldate = {2020-10-27},\n\tjournal = {Sensors},\n\tauthor = {Gomes Ataide, Elmer Jeto and Ponugoti, Nikhila and Illanes, Alfredo and Schenke, Simone and Kreissl, Michael and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2020},\n\tkeywords = {TIRADS, classification, computer aided diagnosis, feature extraction, machine learning, thyroid nodules, ultrasound imaging},\n\tpages = {6110},\n}\n\n
\n
\n\n\n
\n The classification of thyroid nodules using ultrasound (US) imaging is done using the Thyroid Imaging Reporting and Data System (TIRADS) guidelines that classify nodules based on visual and textural characteristics. These are composition, shape, size, echogenicity, calcifications, margins, and vascularity. This work aims to reduce subjectivity in the current diagnostic process by using geometric and morphological (G-M) features that represent the visual characteristics of thyroid nodules to provide physicians with decision support. A total of 27 G-M features were extracted from images obtained from an open-access US thyroid nodule image database. 11 significant features in accordance with TIRADS were selected from this global feature set. Each feature was labeled (0 = benign and 1 = malignant) and the performance of the selected features was evaluated using machine learning (ML). G-M features together with ML resulted in the classification of thyroid nodules with a high accuracy, sensitivity and specificity. The results obtained here were compared against state-of the-art methods and perform significantly well in comparison. Furthermore, this method can act as a computer aided diagnostic (CAD) system for physicians by providing them with a validation of the TIRADS visual characteristics used for the classification of thyroid nodules in US images.\n
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\n \n\n \n \n \n \n \n \n HealthTEC Innovation Design - a proposal for a novel Master degree program based on Unmet Clinical Need, global Healthcare Challenges, and 21st century skills.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 599–603. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"HealthTECPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{friebe_healthtec_2020-1,\n\ttitle = {{HealthTEC} {Innovation} {Design} - a proposal for a novel {Master} degree program based on {Unmet} {Clinical} {Need}, global {Healthcare} {Challenges}, and 21st century skills},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p599.xml},\n\tdoi = {10.1515/cdbme-2020-3153},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d75e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterThe effectiveness, efficiency, availability, agility, and equality of global healthcare systems are in question. The COVID-19 pandemic have further highlighted some of these issues and also shown that healthcare provision is in many parts of the world paternalistic, nimble, and often governed too extensively by revenue and profit motivations. The 4th industrial revolution - the machine learning age - with data gathering, analysis, optimisation, and delivery changes has not yet reached Healthcare / Health provision. We are still treating patients when they are sick rather then to use advanced sensors, data analytics, machine learning, genetic information, and other exponential technologies to prevent people from becoming patients or to help and support a clinicians decision. We are trying to optimise and improve traditional medicine (incremental innovation) rather than to use technologies to find new medical and clinical approaches (disruptive innovation). Education of future stakeholders from the clinical and from the technology side has not been updated to Health 4.0 demands and the needed 21st century skills. This paper presents a novel proposal for a university and innovation lab based interdisciplinary Master education of HealthTEC innovation designers.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {599--603},\n}\n\n
\n
\n\n\n
\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d75e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterThe effectiveness, efficiency, availability, agility, and equality of global healthcare systems are in question. The COVID-19 pandemic have further highlighted some of these issues and also shown that healthcare provision is in many parts of the world paternalistic, nimble, and often governed too extensively by revenue and profit motivations. The 4th industrial revolution - the machine learning age - with data gathering, analysis, optimisation, and delivery changes has not yet reached Healthcare / Health provision. We are still treating patients when they are sick rather then to use advanced sensors, data analytics, machine learning, genetic information, and other exponential technologies to prevent people from becoming patients or to help and support a clinicians decision. We are trying to optimise and improve traditional medicine (incremental innovation) rather than to use technologies to find new medical and clinical approaches (disruptive innovation). Education of future stakeholders from the clinical and from the technology side has not been updated to Health 4.0 demands and the needed 21st century skills. This paper presents a novel proposal for a university and innovation lab based interdisciplinary Master education of HealthTEC innovation designers.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Novel flexible endoscope concept with swiveling camera tip.\n \n \n \n \n\n\n \n Boese, A.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 288–291. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"NovelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{boese_novel_2020,\n\ttitle = {Novel flexible endoscope concept with swiveling camera tip},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p288.xml},\n\tdoi = {10.1515/cdbme-2020-3073},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d1265e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterEndoscopy is an important modality in medical imaging. Thin flexible endoscopes are for example used to examine the upper airways, for gastroscopy procedures or lung inspection. With standard flexible endoscopes one can change the direction of view by bending the tip with the disadvantage of large space required due to the bending radius. With first experiences of a concept of a moveable camera head on the tip of rigid endoscopes, we now propose a novel design employing a swiveling camera for flexible endoscopes. This concept is based on the use of a shape memory wire used to control the movement of the camera, a flexible plastic flap joint for tight rotation and flexible printed circuits for the electronic connection. The prototype was realized in a first low cost setup using a 5,5 mm HD chip on the tip camera with LED light. The motion and imaging performance of the prototype allowed swiveling of the camera on the endoscope tip from straight view to 100° side view. The space needed in fully rotation was limited to 9mm with an overall diameter of the endoscope in straight view of only 5,6mm, but could even be further reduced in a more professional setup. The image quality is good, but close-up views appear blurry due to the fixed focus point of the low-cost camera. The presented steering concept of the camera is promising, as it could potentially improve imaging of narrow cavities using flexible endoscopes. Especially for “in office” examinations this principle could add value to diagnosis and patient comfort.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Arens, Christoph and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {288--291},\n}\n\n
\n
\n\n\n
\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d1265e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterEndoscopy is an important modality in medical imaging. Thin flexible endoscopes are for example used to examine the upper airways, for gastroscopy procedures or lung inspection. With standard flexible endoscopes one can change the direction of view by bending the tip with the disadvantage of large space required due to the bending radius. With first experiences of a concept of a moveable camera head on the tip of rigid endoscopes, we now propose a novel design employing a swiveling camera for flexible endoscopes. This concept is based on the use of a shape memory wire used to control the movement of the camera, a flexible plastic flap joint for tight rotation and flexible printed circuits for the electronic connection. The prototype was realized in a first low cost setup using a 5,5 mm HD chip on the tip camera with LED light. The motion and imaging performance of the prototype allowed swiveling of the camera on the endoscope tip from straight view to 100° side view. The space needed in fully rotation was limited to 9mm with an overall diameter of the endoscope in straight view of only 5,6mm, but could even be further reduced in a more professional setup. The image quality is good, but close-up views appear blurry due to the fixed focus point of the low-cost camera. The presented steering concept of the camera is promising, as it could potentially improve imaging of narrow cavities using flexible endoscopes. Especially for “in office” examinations this principle could add value to diagnosis and patient comfort.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Is a thin diameter ureteroscope feasible for image guided intravascular procedures?.\n \n \n \n \n\n\n \n Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 591–594. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"IsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{boese_is_2020,\n\ttitle = {Is a thin diameter ureteroscope feasible for image guided intravascular procedures?},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p591.xml},\n\tdoi = {10.1515/cdbme-2020-3151},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d744e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterVascular endoscopic imaging is known for a long time but has never made its way into clinical routine. Reasons for that are the complexity, lack of low-cost portable systems, and the lack of suitable endoscopes providing high image quality with small dimensions. In addition, an interruption of the blood flow caused by the device and the opacity of blood are difficult to manage. In the past we have already developed ideas to overcome these difficulties and now we present a feasibility test of a thin diameter ureteroscope for observation of vascular procedures. The imaging system was tested in a phantom where side branches were explored, a stent was placed and a simulated aneurysm coiled.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {591--594},\n}\n\n
\n
\n\n\n
\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d744e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterVascular endoscopic imaging is known for a long time but has never made its way into clinical routine. Reasons for that are the complexity, lack of low-cost portable systems, and the lack of suitable endoscopes providing high image quality with small dimensions. In addition, an interruption of the blood flow caused by the device and the opacity of blood are difficult to manage. In the past we have already developed ideas to overcome these difficulties and now we present a feasibility test of a thin diameter ureteroscope for observation of vascular procedures. The imaging system was tested in a phantom where side branches were explored, a stent was placed and a simulated aneurysm coiled.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Endoscopic filter fluorometer for emission detection of Protoporphyrin IX and its direct precursors in PDT and PDD.\n \n \n \n \n\n\n \n Boese, A.; Wagner, A.; Friebe, M.; Liehr, U. B.; and Wendler, J. J.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 587–590. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"EndoscopicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{boese_endoscopic_2020,\n\ttitle = {Endoscopic filter fluorometer for emission detection of {Protoporphyrin} {IX} and its direct precursors in {PDT} and {PDD}},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p587.xml},\n\tdoi = {10.1515/cdbme-2020-3150},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d834e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterPhotodynamic therapy (PDT) is a potential option for treatment of cancer since it can be performed non- invasive for superficial cancers or minimal-invasive with low traumatization. But PDT is intrinsically inefficient due to the complex accumulation of the photosensitizing drug inside the tumor and the processes of heme syntheses to create the needed cell killing components. To optimize the outcome of PDT and increase acceptance as viable option it is necessary to predict the optimal time for the start of the treatment based on measurable precursors. A former cell study proposed a new filter fluorometer in a complex and sensitive setup. In this work we now designed and tested a simplified system that can be used in combination with standard endoscopic imaging systems. This system will be used as base to prove viability of this approach for a future clinical study.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, Axel and Wagner, Alexander and Friebe, Michael and Liehr, Uwe Bernd and Wendler, Jakob Johann},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {587--590},\n}\n\n
\n
\n\n\n
\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d834e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterPhotodynamic therapy (PDT) is a potential option for treatment of cancer since it can be performed non- invasive for superficial cancers or minimal-invasive with low traumatization. But PDT is intrinsically inefficient due to the complex accumulation of the photosensitizing drug inside the tumor and the processes of heme syntheses to create the needed cell killing components. To optimize the outcome of PDT and increase acceptance as viable option it is necessary to predict the optimal time for the start of the treatment based on measurable precursors. A former cell study proposed a new filter fluorometer in a complex and sensitive setup. In this work we now designed and tested a simplified system that can be used in combination with standard endoscopic imaging systems. This system will be used as base to prove viability of this approach for a future clinical study.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery.\n \n \n \n \n\n\n \n Sühn, T.; Pandey, A.; Friebe, M.; Illanes, A.; Boese, A.; and Lohman, C.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 595–598. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"AcousticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{suhn_acoustic_2020,\n\ttitle = {Acoustic sensing of tissue-tool interactions – potential applications in arthroscopic surgery},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p595.xml},\n\tdoi = {10.1515/cdbme-2020-3152},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d137e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterArthroscopic surgery is a technically challenging but common minimally invasive procedure with a long learning curve and a high incidence of iatrogenic damage. These damages can occur due to the lack of feedback and supplementary information regarding tissue-instrumentcontact during surgery. Deliberately performed interactions can be used however to obtain clinically relevant information, e.g. when a surgeon uses the tactile feedback to assess the condition of articular cartilage. Yet, the perception of such events is highly subjective. We propose a novel proximally attached sensing concept applied to arthroscopic surgery to allow an objective characterization and utilization of interactions. It is based on acoustic emissions which originate from tissue-instrument-contact, that propagate naturally via the instrument shaft and that can be obtained by a transducer setup outside of the body. The setup was tested on its ability to differentiate various conditions of articular cartilage. A femoral head with varying grades of osteoarthritic cartilage was tapped multiple times ex-vivo with a conventional Veress needle with a sound transducer attached at the outpatient end. A wavelet-based processing of the obtained signals and subsequent analysis of distribution of spectral energy showed the potential of tool-tissue-interactions to characterize different cartilage conditions. The proposed concept needs further evaluation with a dedicated design of the palpation tool and should be tested in realistic arthroscopic scenarios.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Sühn, Thomas and Pandey, Ajay and Friebe, Michael and Illanes, Alfredo and Boese, Axel and Lohman, Christoph},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {595--598},\n}\n\n
\n
\n\n\n
\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d137e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterArthroscopic surgery is a technically challenging but common minimally invasive procedure with a long learning curve and a high incidence of iatrogenic damage. These damages can occur due to the lack of feedback and supplementary information regarding tissue-instrumentcontact during surgery. Deliberately performed interactions can be used however to obtain clinically relevant information, e.g. when a surgeon uses the tactile feedback to assess the condition of articular cartilage. Yet, the perception of such events is highly subjective. We propose a novel proximally attached sensing concept applied to arthroscopic surgery to allow an objective characterization and utilization of interactions. It is based on acoustic emissions which originate from tissue-instrument-contact, that propagate naturally via the instrument shaft and that can be obtained by a transducer setup outside of the body. The setup was tested on its ability to differentiate various conditions of articular cartilage. A femoral head with varying grades of osteoarthritic cartilage was tapped multiple times ex-vivo with a conventional Veress needle with a sound transducer attached at the outpatient end. A wavelet-based processing of the obtained signals and subsequent analysis of distribution of spectral energy showed the potential of tool-tissue-interactions to characterize different cartilage conditions. The proposed concept needs further evaluation with a dedicated design of the palpation tool and should be tested in realistic arthroscopic scenarios.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images.\n \n \n \n \n\n\n \n Esmaeili, N.; Illanes, A.; Boese, A.; Davaris, N.; Arens, C.; Navab, N.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 70–73. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ManualPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{esmaeili_manual_2020,\n\ttitle = {Manual versus {Automatic} {Classification} of {Laryngeal} {Lesions} based on {Vascular} {Patterns} in {CE}+{NBI} {Images}},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p70.xml},\n\tdoi = {10.1515/cdbme-2020-3018},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d303e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterLongitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular pattern in Larynx. The evaluation of these vascular patterns in CE+NBI images is a subjective process leading to differentiation difficulty and subjectivity between benign and malignant lesions. The main objective of this work is to compare multi-observer classification versus automatic classification of laryngeal lesions. Six clinicians visually classified CE+NBI images into benign and malignant lesions. For the automatic classification of CE+NBI images, we used an algorithm based on characterizing the level of the vessel’s disorder. The results of the manual classification showed that there is no objective interpretation, leading to difficulties to visually distinguish between benign and malignant lesions. The results of the automatic classification of CE+NBI images on the other hand showed the capability of the algorithm to solve these issues. Based on the observed results we believe that, the automatic approach could be a valuable tool to assist clinicians to classifying laryngeal lesions.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Esmaeili, Nazila and Illanes, Alfredo and Boese, Axel and Davaris, Nikolaos and Arens, Christoph and Navab, Nassir and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {70--73},\n}\n\n
\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d303e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterLongitudinal and perpendicular changes in the blood vessels of the vocal fold have been related to the advancement from benign to malignant laryngeal cancer stages. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) provides intraoperative realtime visualization of vascular pattern in Larynx. The evaluation of these vascular patterns in CE+NBI images is a subjective process leading to differentiation difficulty and subjectivity between benign and malignant lesions. The main objective of this work is to compare multi-observer classification versus automatic classification of laryngeal lesions. Six clinicians visually classified CE+NBI images into benign and malignant lesions. For the automatic classification of CE+NBI images, we used an algorithm based on characterizing the level of the vessel’s disorder. The results of the manual classification showed that there is no objective interpretation, leading to difficulties to visually distinguish between benign and malignant lesions. The results of the automatic classification of CE+NBI images on the other hand showed the capability of the algorithm to solve these issues. Based on the observed results we believe that, the automatic approach could be a valuable tool to assist clinicians to classifying laryngeal lesions.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n How do we need to adapt Biomedical Engineering Education for the Health 4.0 challenges?.\n \n \n \n \n\n\n \n Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 604–607. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"HowPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{fritzsche_how_2020,\n\ttitle = {How do we need to adapt {Biomedical} {Engineering} {Education} for the {Health} 4.0 challenges?},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p604.xml},\n\tdoi = {10.1515/cdbme-2020-3154},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d813e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterNovel challenges and developments require adaptations on skill set, content, and associated education. A biomedical engineer will require a broad range of skills - which to a large extent are currently not taught - in the coming years to meet the development needs of future healthcare: intensive interdisciplinary team work, advanced communication skills, team management and coaching capabilities, advanced project management, learn how to learn, visionary and forward looking thinking, understanding of health economics, entrepreneurship and leadership. But above all empathy towards the clinical user and patients is needed as well as a basic understanding of the current and future clinical workflows that can globally vary. An innovation process for a healthcare related product or service will likely only create value through the consideration and implementation of several of these points. Even though techniques for the development of innovation and enhancing creativity in individuals are widely discussed, there are relatively few reports on the practice of mainstreaming creativity in an organizational setting. We report on the setup of our Graduate School “Technology Innovation in Therapy and Imaging (T²I²)” that has implemented a structured post graduate program and focuses on interdisciplinary and application-oriented innovation generation education. The educational process starts with the observation and identification of clinical needs and an in-depth understanding of the problem and subsequently covers all steps necessary to transfer prototypes into viable solutions and further into implementing valuable products.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fritzsche, Holger and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {604--607},\n}\n\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d813e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterNovel challenges and developments require adaptations on skill set, content, and associated education. A biomedical engineer will require a broad range of skills - which to a large extent are currently not taught - in the coming years to meet the development needs of future healthcare: intensive interdisciplinary team work, advanced communication skills, team management and coaching capabilities, advanced project management, learn how to learn, visionary and forward looking thinking, understanding of health economics, entrepreneurship and leadership. But above all empathy towards the clinical user and patients is needed as well as a basic understanding of the current and future clinical workflows that can globally vary. An innovation process for a healthcare related product or service will likely only create value through the consideration and implementation of several of these points. Even though techniques for the development of innovation and enhancing creativity in individuals are widely discussed, there are relatively few reports on the practice of mainstreaming creativity in an organizational setting. We report on the setup of our Graduate School “Technology Innovation in Therapy and Imaging (T²I²)” that has implemented a structured post graduate program and focuses on interdisciplinary and application-oriented innovation generation education. The educational process starts with the observation and identification of clinical needs and an in-depth understanding of the problem and subsequently covers all steps necessary to transfer prototypes into viable solutions and further into implementing valuable products.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Investigating an Optimal Signal Epoch Length for Cardiotocographic Classification.\n \n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; Ortmeier, F.; and Poudel, P.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 514–517. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"InvestigatingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{fuentealba_investigating_2020,\n\ttitle = {Investigating an {Optimal} {Signal} {Epoch} {Length} for {Cardiotocographic} {Classification}},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p514.xml},\n\tdoi = {10.1515/cdbme-2020-3132},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d76e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterThis work focuses on investigating an optimal foetal heart rate (FHR) signal segment to be considered for automatic cardiotocographic (CTG) classification. The main idea is to evaluate a set of signal segments of different length and location based on their classification performance. For this purpose, we employ a feature extraction operation based on two signal processing techniques, such as the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and time-varying autoregressive modelling. For each studied segment, the features are extracted and evaluated based on their performance in CTG classification. For the proposed evaluation, we make use of real CTG data extracted from the CTU-UHB database. Results show that the classification performance depends considerably on the selected FHR segment. Likewise, we have found that an optimal FHR segment for foetal welfare assessment during labour corresponds to a segment of 30 minutes long.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fuentealba, Patricio and Illanes, Alfredo and Ortmeier, Frank and Poudel, Prabal},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {514--517},\n}\n\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d76e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterThis work focuses on investigating an optimal foetal heart rate (FHR) signal segment to be considered for automatic cardiotocographic (CTG) classification. The main idea is to evaluate a set of signal segments of different length and location based on their classification performance. For this purpose, we employ a feature extraction operation based on two signal processing techniques, such as the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and time-varying autoregressive modelling. For each studied segment, the features are extracted and evaluated based on their performance in CTG classification. For the proposed evaluation, we make use of real CTG data extracted from the CTU-UHB database. Results show that the classification performance depends considerably on the selected FHR segment. Likewise, we have found that an optimal FHR segment for foetal welfare assessment during labour corresponds to a segment of 30 minutes long.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Novel Assistive Device for Tomographic Ultrasound Neck Imaging vs. Freehand.\n \n \n \n \n\n\n \n Köhler, M.; Ataide, E. J. G.; Ziegle, J.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 28–31. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"NovelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{kohler_novel_2020,\n\ttitle = {Novel {Assistive} {Device} for {Tomographic} {Ultrasound} {Neck} {Imaging} vs. {Freehand}},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p28.xml},\n\tdoi = {10.1515/cdbme-2020-3008},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d1525e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterFor assessing clinically relevant structures in the neck area, especially the thyroid, it has been shown that 3D or tomographic ultrasound (3D US or tUS) is able to outperform standard 2D ultrasound [1] and computed tomography [2] for certain diagnostic procedures. However, when using a freehand and unassisted scanning method to acquire a 3D US volume data set in this area overlapping image slices, a variation of the probe angulation or differences in training might lead to unusable scanning results. Based on previous works [3] [4] we propose the design - with subsequent testing - of an assistive device that is able to aid physicians during the tUS scanning process on the neck. To validate the feasibility and efficacy we compared the image quality of both freehand and assisted scanning.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Köhler, Marcel and Ataide, Elmer Jeto Gomes and Ziegle, Jens and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {28--31},\n}\n\n
\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d1525e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterFor assessing clinically relevant structures in the neck area, especially the thyroid, it has been shown that 3D or tomographic ultrasound (3D US or tUS) is able to outperform standard 2D ultrasound [1] and computed tomography [2] for certain diagnostic procedures. However, when using a freehand and unassisted scanning method to acquire a 3D US volume data set in this area overlapping image slices, a variation of the probe angulation or differences in training might lead to unusable scanning results. Based on previous works [3] [4] we propose the design - with subsequent testing - of an assistive device that is able to aid physicians during the tUS scanning process on the neck. To validate the feasibility and efficacy we compared the image quality of both freehand and assisted scanning.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Michael Friebe’s 30th private, slightly biased, and as always subjective RSNA report.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n dotmed.com,4. December 2020.\n \n\n\n\n
\n\n\n\n \n \n \"MichaelPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{friebe_michael_2020,\n\ttitle = {Michael {Friebe}’s 30th private, slightly biased, and as always subjective {RSNA} report},\n\turl = {https://www.dotmed.com/news/story/53291},\n\tabstract = {Takeaways from the 2020 virtual meeting},\n\tlanguage = {en, en},\n\turldate = {2020-12-07},\n\tjournal = {dotmed.com},\n\tauthor = {Friebe, Michael},\n\tmonth = dec,\n\tyear = {2020},\n\tpages = {4},\n}\n\n
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\n Takeaways from the 2020 virtual meeting\n
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\n \n\n \n \n \n \n \n \n Laryngeal Lesion Classification Based on Vascular Patterns in Contact Endoscopy and Narrow Band Imaging: Manual Versus Automatic Approach.\n \n \n \n \n\n\n \n Esmaeili, N.; Illanes, A.; Boese, A.; Davaris, N.; Arens, C.; Navab, N.; and Friebe, M.\n\n\n \n\n\n\n Sensors, 20(14): 4018. July 2020.\n \n\n\n\n
\n\n\n\n \n \n \"LaryngealPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{esmaeili_laryngeal_2020,\n\ttitle = {Laryngeal {Lesion} {Classification} {Based} on {Vascular} {Patterns} in {Contact} {Endoscopy} and {Narrow} {Band} {Imaging}: {Manual} {Versus} {Automatic} {Approach}},\n\tvolume = {20},\n\tissn = {1424-8220},\n\tshorttitle = {Laryngeal {Lesion} {Classification} {Based} on {Vascular} {Patterns} in {Contact} {Endoscopy} and {Narrow} {Band} {Imaging}},\n\turl = {https://www.mdpi.com/1424-8220/20/14/4018},\n\tdoi = {10.3390/s20144018},\n\tabstract = {Longitudinal and perpendicular changes in the vocal fold’s blood vessels are associated with the development of benign and malignant laryngeal lesions. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) can provide intraoperative real-time visualization of the vascular changes in the laryngeal mucosa. However, the visual evaluation of vascular patterns in CE-NBI images is challenging and highly depends on the clinicians’ experience. The current study aims to evaluate and compare the performance of a manual and an automatic approach for laryngeal lesion’s classification based on vascular patterns in CE-NBI images. In the manual approach, six observers visually evaluated a series of CE+NBI images that belong to a patient and then classified the patient as benign or malignant. For the automatic classification, an algorithm based on characterizing the level of the vessel’s disorder in combination with four supervised classifiers was used to classify CE-NBI images. The results showed that the manual approach’s subjective evaluation could be reduced by using a computer-based approach. Moreover, the automatic approach showed the potential to work as an assistant system in case of disagreements among clinicians and to reduce the manual approach’s misclassification issue.},\n\tlanguage = {en},\n\tnumber = {14},\n\turldate = {2021-07-02},\n\tjournal = {Sensors},\n\tauthor = {Esmaeili, Nazila and Illanes, Alfredo and Boese, Axel and Davaris, Nikolaos and Arens, Christoph and Navab, Nassir and Friebe, Michael},\n\tmonth = jul,\n\tyear = {2020},\n\tpages = {4018},\n}\n\n
\n
\n\n\n
\n Longitudinal and perpendicular changes in the vocal fold’s blood vessels are associated with the development of benign and malignant laryngeal lesions. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) can provide intraoperative real-time visualization of the vascular changes in the laryngeal mucosa. However, the visual evaluation of vascular patterns in CE-NBI images is challenging and highly depends on the clinicians’ experience. The current study aims to evaluate and compare the performance of a manual and an automatic approach for laryngeal lesion’s classification based on vascular patterns in CE-NBI images. In the manual approach, six observers visually evaluated a series of CE+NBI images that belong to a patient and then classified the patient as benign or malignant. For the automatic classification, an algorithm based on characterizing the level of the vessel’s disorder in combination with four supervised classifiers was used to classify CE-NBI images. The results showed that the manual approach’s subjective evaluation could be reduced by using a computer-based approach. Moreover, the automatic approach showed the potential to work as an assistant system in case of disagreements among clinicians and to reduce the manual approach’s misclassification issue.\n
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\n \n\n \n \n \n \n \n \n Surgical Audio Guidance: Feasibility Check for Robotic Surgery Procedures.\n \n \n \n \n\n\n \n Schaufler, A.; Illanes, A.; Maldonado, I.; Boese, A.; Croner, R.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 571–574. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"SurgicalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{schaufler_surgical_2020,\n\ttitle = {Surgical {Audio} {Guidance}: {Feasibility} {Check} for {Robotic} {Surgery} {Procedures}},\n\tvolume = {6},\n\tshorttitle = {Surgical {Audio} {Guidance}},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p571.xml},\n\tdoi = {10.1515/cdbme-2020-3146},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d860e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterIn robot-assisted procedures, the surgeon controls the surgical instruments from a remote console, while visually monitoring the procedure through the endoscope. There is no haptic feedback available to the surgeon, which impedes the assessment of diseased tissue and the detection of hidden structures beneath the tissue, such as vessels. Only visual clues are available to the surgeon to control the force applied to the tissue by the instruments, which poses a risk for iatrogenic injuries. Additional information on haptic interactions of the employed instruments and the treated tissue that is provided to the surgeon during robotic surgery could compensate for this deficit. Acoustic emissions (AE) from the instrument/tissue interactions, transmitted by the instrument are a potential source of this information. AE can be recorded by audio sensors that do not have to be integrated into the instruments, but that can be modularly attached to the outside of the instruments shaft or enclosure. The location of the sensor on a robotic system is essential for the applicability of the concept in real situations. While the signal strength of the acoustic emissions decreases with distance from the point of interaction, an installation close to the patient would require sterilization measures. The aim of this work is to investigate whether it is feasible to install the audio sensor in non-sterile areas far away from the patient and still be able to receive useful AE signals. To determine whether signals can be recorded at different potential mounting locations, instrument/tissue interactions with different textures were simulated in an experimental setup. The results showed that meaningful and valuable AE can be recorded in the non-sterile area of a robotic surgical system despite the expected signal losses.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Schaufler, Anna and Illanes, Alfredo and Maldonado, Ivan and Boese, Axel and Croner, Roland and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {571--574},\n}\n\n
\n
\n\n\n
\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d860e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterIn robot-assisted procedures, the surgeon controls the surgical instruments from a remote console, while visually monitoring the procedure through the endoscope. There is no haptic feedback available to the surgeon, which impedes the assessment of diseased tissue and the detection of hidden structures beneath the tissue, such as vessels. Only visual clues are available to the surgeon to control the force applied to the tissue by the instruments, which poses a risk for iatrogenic injuries. Additional information on haptic interactions of the employed instruments and the treated tissue that is provided to the surgeon during robotic surgery could compensate for this deficit. Acoustic emissions (AE) from the instrument/tissue interactions, transmitted by the instrument are a potential source of this information. AE can be recorded by audio sensors that do not have to be integrated into the instruments, but that can be modularly attached to the outside of the instruments shaft or enclosure. The location of the sensor on a robotic system is essential for the applicability of the concept in real situations. While the signal strength of the acoustic emissions decreases with distance from the point of interaction, an installation close to the patient would require sterilization measures. The aim of this work is to investigate whether it is feasible to install the audio sensor in non-sterile areas far away from the patient and still be able to receive useful AE signals. To determine whether signals can be recorded at different potential mounting locations, instrument/tissue interactions with different textures were simulated in an experimental setup. The results showed that meaningful and valuable AE can be recorded in the non-sterile area of a robotic surgical system despite the expected signal losses.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Transverse dose profile simulation of extruded lines for a 3D printed models for superficial skin cancer therapy.\n \n \n \n \n\n\n \n Pashazadeh, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 6(3): 559–562. September 2020.\n \n\n\n\n
\n\n\n\n \n \n \"TransversePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{pashazadeh_transverse_2020,\n\ttitle = {Transverse dose profile simulation of extruded lines for a {3D} printed models for superficial skin cancer therapy},\n\tvolume = {6},\n\turl = {https://www.degruyter.com/view/journals/cdbme/6/3/article-p559.xml},\n\tdoi = {10.1515/cdbme-2020-3143},\n\tabstract = {{\\textbackslash}textlesssection class="abstract"{\\textbackslash}textgreater{\\textbackslash}textlessh2 class="abstractTitle text-title my-1" id="d368e2"{\\textbackslash}textgreaterAbstract{\\textbackslash}textless/h2{\\textbackslash}textgreater{\\textbackslash}textlessp{\\textbackslash}textgreaterThe short-range and sharp dose fall-off of beta particles in tissue make them an interesting option for use in the radiation therapy of superficial skin tumors. This can be used to protect bony or other sensitive structures located right beneath the tumor. In a previous study, we studied the feasibility of using 3D printing technology to create 2D radioactive models for the treatment of skin tumors. In the current study, the Monte Carlo method was used to simulate the transverse dose profile form 3D printed extruded line containing yttrium-90 (Y-90) particles. The time and activity required for treating a superficial skin tumor using these extruded lines were also calculated.{\\textbackslash}textless/p{\\textbackslash}textgreater{\\textbackslash}textless/section{\\textbackslash}textgreater},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2020-11-26},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Pashazadeh, Ali and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2020},\n\tpages = {559--562},\n}\n\n
\n
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\n \\textlesssection class=\"abstract\"\\textgreater\\textlessh2 class=\"abstractTitle text-title my-1\" id=\"d368e2\"\\textgreaterAbstract\\textless/h2\\textgreater\\textlessp\\textgreaterThe short-range and sharp dose fall-off of beta particles in tissue make them an interesting option for use in the radiation therapy of superficial skin tumors. This can be used to protect bony or other sensitive structures located right beneath the tumor. In a previous study, we studied the feasibility of using 3D printing technology to create 2D radioactive models for the treatment of skin tumors. In the current study, the Monte Carlo method was used to simulate the transverse dose profile form 3D printed extruded line containing yttrium-90 (Y-90) particles. The time and activity required for treating a superficial skin tumor using these extruded lines were also calculated.\\textless/p\\textgreater\\textless/section\\textgreater\n
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\n \n\n \n \n \n \n \n \n Healthcare in need of innovation: exponential technology and biomedical entrepreneurship as solution providers (Keynote Paper).\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Fei, B.; and Linte, C. A., editor(s), Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, pages 28, Houston, United States, March 2020. SPIE\n \n\n\n\n
\n\n\n\n \n \n \"HealthcarePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{friebe_healthcare_2020,\n\taddress = {Houston, United States},\n\ttitle = {Healthcare in need of innovation: exponential technology and biomedical entrepreneurship as solution providers ({Keynote} {Paper})},\n\tisbn = {978-1-5106-3397-1 978-1-5106-3398-8},\n\tshorttitle = {Healthcare in need of innovation},\n\turl = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11315/2556776/Healthcare-in-need-of-innovation--exponential-technology-and-biomedical/10.1117/12.2556776.full},\n\tdoi = {10.1117/12.2556776},\n\tabstract = {There are significant challenges in global healthcare delivery at the moment. Some countries have abundant services, but are stuck with a rather nimble and expensive system that focuses on incremental innovations. Other geographies are still in need of basic tools, infrastructure and require completely different, inexpensive, and with that more disruptive solutions to satisfy their healthcare needs.},\n\tlanguage = {en},\n\turldate = {2021-07-02},\n\tbooktitle = {Medical {Imaging} 2020: {Image}-{Guided} {Procedures}, {Robotic} {Interventions}, and {Modeling}},\n\tpublisher = {SPIE},\n\tauthor = {Friebe, Michael},\n\teditor = {Fei, Baowei and Linte, Cristian A.},\n\tmonth = mar,\n\tyear = {2020},\n\tpages = {28},\n}\n\n
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\n There are significant challenges in global healthcare delivery at the moment. Some countries have abundant services, but are stuck with a rather nimble and expensive system that focuses on incremental innovations. Other geographies are still in need of basic tools, infrastructure and require completely different, inexpensive, and with that more disruptive solutions to satisfy their healthcare needs.\n
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\n \n\n \n \n \n \n \n \n Innovative Hospital Management: Tracking of Radiological Protection Equipment.\n \n \n \n \n\n\n \n Fritzsche, H.; Ataide, E. J. G.; Bi, A.; Kalva, R.; Tripathi, S.; Boese, A.; Friebe, M.; and Gonschorek, T.\n\n\n \n\n\n\n International Journal of Biomedical and Clinical Engineering (IJBCE), 9(1): 33–47. January 2020.\n \n\n\n\n
\n\n\n\n \n \n \"InnovativePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{fritzsche_innovative_2020,\n\ttitle = {Innovative {Hospital} {Management}: {Tracking} of {Radiological} {Protection} {Equipment}},\n\tvolume = {9},\n\tcopyright = {Access limited to members},\n\tissn = {2161-1610 DOI: 10.4018/IJBCE.2020010103},\n\tshorttitle = {Innovative {Hospital} {Management}},\n\turl = {https://www.igi-global.com/article/innovative-hospital-management/240745},\n\tdoi = {10.4018/IJBCE.2020010103},\n\tabstract = {Innovative Hospital Management: Tracking of Radiological Protection Equipment: 10.4018/IJBCE.2020010103: The healthcare industry is consistently developing a constant supply of medical equipment, e.g. radiation protection wear. These must be inspected regularly},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2020-01-20},\n\tjournal = {International Journal of Biomedical and Clinical Engineering (IJBCE)},\n\tauthor = {Fritzsche, Holger and Ataide, Elmer Jeto Gomes and Bi, Afshan and Kalva, Rohit and Tripathi, Sandeep and Boese, Axel and Friebe, Michael and Gonschorek, Tim},\n\tmonth = jan,\n\tyear = {2020},\n\tpages = {33--47},\n}\n\n
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\n Innovative Hospital Management: Tracking of Radiological Protection Equipment: 10.4018/IJBCE.2020010103: The healthcare industry is consistently developing a constant supply of medical equipment, e.g. radiation protection wear. These must be inspected regularly\n
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\n \n\n \n \n \n \n \n \n Evaluation of Vascular Patterns Using Contact Endoscopy and Narrow-Band Imaging (CE-NBI) for the Diagnosis of Vocal Fold Malignancy.\n \n \n \n \n\n\n \n Davaris, N.; Lux, A.; Esmaeili, N.; Illanes, A.; Boese, A.; Friebe, M.; and Arens, C.\n\n\n \n\n\n\n Cancers, 12(1): 248. January 2020.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{davaris_evaluation_2020,\n\ttitle = {Evaluation of {Vascular} {Patterns} {Using} {Contact} {Endoscopy} and {Narrow}-{Band} {Imaging} ({CE}-{NBI}) for the {Diagnosis} of {Vocal} {Fold} {Malignancy}},\n\tvolume = {12},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\turl = {https://www.mdpi.com/2072-6694/12/1/248},\n\tdoi = {10.3390/cancers12010248},\n\tabstract = {The endoscopic detection of perpendicular vascular changes (PVC) of the vocal folds has been associated with vocal fold cancer, dysplastic lesions, and papillomatosis, according to a classification proposed by the European Laryngological Society (ELS). The combination of contact endoscopy with narrow-band imaging (NBI-CE) allows intraoperatively a highly contrasted, real-time visualization of vascular changes of the vocal folds. Aim of the present study was to determine the association of PVC to specific histological diagnoses, the level of interobserver agreement in the detection of PVC, and their diagnostic effectiveness in diagnosing laryngeal malignancy. The evaluation of our data confirmed the association of PVC to vocal fold cancer, dysplastic lesions, and papillomatosis. The level of agreement between the observers in the identification of PVC was moderate for the less-experienced observers and almost perfect for the experienced observers. The identification of PVC during NBI-CE proved to be a valuable indicator for diagnosing malignant and premalignant lesions.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2020-01-20},\n\tjournal = {Cancers},\n\tauthor = {Davaris, Nikolaos and Lux, Anke and Esmaeili, Nazila and Illanes, Alfredo and Boese, Axel and Friebe, Michael and Arens, Christoph},\n\tmonth = jan,\n\tyear = {2020},\n\tkeywords = {contact endoscopy, laryngeal cancer, narrow-band imaging, vascular changes},\n\tpages = {248},\n}\n\n
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\n The endoscopic detection of perpendicular vascular changes (PVC) of the vocal folds has been associated with vocal fold cancer, dysplastic lesions, and papillomatosis, according to a classification proposed by the European Laryngological Society (ELS). The combination of contact endoscopy with narrow-band imaging (NBI-CE) allows intraoperatively a highly contrasted, real-time visualization of vascular changes of the vocal folds. Aim of the present study was to determine the association of PVC to specific histological diagnoses, the level of interobserver agreement in the detection of PVC, and their diagnostic effectiveness in diagnosing laryngeal malignancy. The evaluation of our data confirmed the association of PVC to vocal fold cancer, dysplastic lesions, and papillomatosis. The level of agreement between the observers in the identification of PVC was moderate for the less-experienced observers and almost perfect for the experienced observers. The identification of PVC during NBI-CE proved to be a valuable indicator for diagnosing malignant and premalignant lesions.\n
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\n \n\n \n \n \n \n \n \n Calculation of beta radiation dose of a circular Y-90 skin patch: Analytical and simulation methods.\n \n \n \n \n\n\n \n Pashazadeh, A.; Paiva, E.; Mahmoodian, N.; and Friebe, M.\n\n\n \n\n\n\n Radiation Physics and Chemistry, 166. January 2020.\n \n\n\n\n
\n\n\n\n \n \n \"CalculationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pashazadeh_calculation_2020,\n\ttitle = {Calculation of beta radiation dose of a circular {Y}-90 skin patch: {Analytical} and simulation methods},\n\tvolume = {166},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0969806X18314749},\n\tdoi = {https://doi.org/10.1016/j.radphyschem.2019.108491},\n\tjournal = {Radiation Physics and Chemistry},\n\tauthor = {Pashazadeh, A. and Paiva, E. and Mahmoodian, N. and Friebe, M.},\n\tmonth = jan,\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n \n ENT Endoscopic Surgery and Mixed Reality: Application Development and Integration.\n \n \n \n \n\n\n \n Ataide, E.; Fritzsche, H.; Filax, M.; Chittamuri, D.; Potluri, L. S.; and Friebe, M.\n\n\n \n\n\n\n In Biomedical and Clinical Engineering for Healthcare Advancement, pages 17–29. IGI Global, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ENTPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{ataide_ent_2020,\n\ttitle = {{ENT} {Endoscopic} {Surgery} and {Mixed} {Reality}: {Application} {Development} and {Integration}},\n\tisbn = {978-1-79980-326-3},\n\turl = {https://www.igi-global.com/gateway/chapter/239074},\n\tbooktitle = {Biomedical and {Clinical} {Engineering} for {Healthcare} {Advancement}},\n\tpublisher = {IGI Global},\n\tauthor = {Ataide, E. and Fritzsche, H. and Filax, M. and Chittamuri, D. and Potluri, L. S. and Friebe, M.},\n\tyear = {2020},\n\tdoi = {10.4018/978-1-7998-0326-3.ch002},\n\tpages = {17--29},\n}\n\n
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\n \n\n \n \n \n \n \n \n Exploring the Possibilities to Characterize the Soft Tissue Using Acoustic Emission Waveforms.\n \n \n \n \n\n\n \n Singh, Y.; Hu, W.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In Future trends in biomedical and health informatics and cybersecurity in medical devices, pages 9–14. Springer Nature Switzerland, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ExploringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{singh_exploring_2020,\n\ttitle = {Exploring the {Possibilities} to {Characterize} the {Soft} {Tissue} {Using} {Acoustic} {Emission} {Waveforms}},\n\turl = {https://link.springer.com/chapter/10.1007%2F978-3-030-30636-6_2},\n\tbooktitle = {Future trends in biomedical and health informatics and cybersecurity in medical devices},\n\tpublisher = {Springer Nature Switzerland},\n\tauthor = {Singh, Y. and Hu, W. and Illanes, A. and Friebe, M.},\n\tyear = {2020},\n\tdoi = {10.1007/978-3-030-30636-6_2},\n\tpages = {9--14},\n}\n\n\n
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\n  \n 2019\n \n \n (80)\n \n \n
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\n \n\n \n \n \n \n \n \n Michael Friebe’s 28th private, slightly biased, and as always subjective report.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n DOTmed. December 2019.\n \n\n\n\n
\n\n\n\n \n \n \"MichaelPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{friebe_michael_2019,\n\ttitle = {Michael {Friebe}’s 28th private, slightly biased, and as always subjective report},\n\turl = {https://www.dotmed.com/news/story/49452},\n\tjournal = {DOTmed},\n\tauthor = {Friebe, M.},\n\tmonth = dec,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Injection And Infusion Technology Disruption For Use In MRI.\n \n \n \n \n\n\n \n Kalmar, M.; Boese, A.; Landes, R.; and Friebe, M.\n\n\n \n\n\n\n Medical Devices: Evidence and Research, 12: 469–478. November 2019.\n \n\n\n\n
\n\n\n\n \n \n \"InjectionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{kalmar_injection_2019,\n\ttitle = {Injection {And} {Infusion} {Technology} {Disruption} {For} {Use} {In} {MRI}},\n\tvolume = {12},\n\turl = {https://www.dovepress.com/articles.php?article_id=50046},\n\tdoi = {10.2147/mder.s216758},\n\tjournal = {Medical Devices: Evidence and Research},\n\tauthor = {Kalmar, M. and Boese, A. and Landes, R. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2019},\n\tpages = {469--478},\n}\n\n
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\n \n\n \n \n \n \n \n \n IEEE Engineering in Medicine & Biology International Student Conference 2019, Magdeburg, Germany : book of proceedings.\n \n \n \n \n\n\n \n \n\n\n \n\n\n\n Otto von Guericke University Library, Magdeburg, Germany, Magdeburg, Germany, November 2019.\n \n\n\n\n
\n\n\n\n \n \n \"IEEEPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{noauthor_ieee_2019,\n\taddress = {Magdeburg, Germany},\n\ttitle = {{IEEE} {Engineering} in {Medicine} \\& {Biology} {International} {Student} {Conference} 2019, {Magdeburg}, {Germany} : book of proceedings},\n\tisbn = {978-3-944722-88-7},\n\turl = {https://opendata.uni-halle.de//handle/1981185920/31866},\n\tpublisher = {Otto von Guericke University Library, Magdeburg, Germany},\n\tmonth = nov,\n\tyear = {2019},\n\tdoi = {10.25673/31720},\n}\n\n
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\n \n\n \n \n \n \n \n Temperature Controlled and Monitored Ex Vivo Lung Perfusion System for Research and Training Purposes.\n \n \n \n\n\n \n Pongratz, C.; Ziegle, J.; Boese, A.; Friebe, M.; Linge, H.; and Walles, T.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 293–295. September 2019.\n \n\n\n\n
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@article{pongratz_temperature_2019,\n\ttitle = {Temperature {Controlled} and {Monitored} {Ex} {Vivo} {Lung} {Perfusion} {System} for {Research} and {Training} {Purposes}},\n\tvolume = {5},\n\tdoi = {10.1515/cdbme-2019-0074},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Pongratz, C. and Ziegle, J. and Boese, A. and Friebe, M. and Linge, H. and Walles, T.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {293--295},\n}\n\n
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\n \n\n \n \n \n \n \n Feasibility test of Dynamic Cooling for detection of small tumors in IR thermographic breast imaging.\n \n \n \n\n\n \n Sadeghi, M.; Boese, A.; Maldonado, I.; Friebe, M.; Sauerhering, J.; Schlosser, S.; Wehberg, H.; and Wehberg, K.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 397–399. September 2019.\n \n\n\n\n
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@article{sadeghi_feasibility_2019,\n\ttitle = {Feasibility test of {Dynamic} {Cooling} for detection of small tumors in {IR} thermographic breast imaging},\n\tvolume = {5},\n\tdoi = {10.1515/cdbme-2019-0100},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Sadeghi, M. and Boese, A. and Maldonado, I. and Friebe, M. and Sauerhering, J. and Schlosser, S. and Wehberg, H. and Wehberg, K.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {397--399},\n}\n\n
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\n \n\n \n \n \n \n \n Temperature controlled and monitored Ex Vivo Lung Perfusion setup for research and training purposes.\n \n \n \n\n\n \n Ziegle, J.; Pongratz, C.; Linge, H.; Boese, A.; Friebe, M.; and Walles, T.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt, Germany, September 2019. \n \n\n\n\n
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@inproceedings{ziegle_temperature_2019,\n\taddress = {Frankfurt, Germany},\n\ttitle = {Temperature controlled and monitored {Ex} {Vivo} {Lung} {Perfusion} setup for research and training purposes},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {Ziegle, J. and Pongratz, C. and Linge, H. and Boese, A. and Friebe, M. and Walles, T.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Audio waves and its loss of energy in puncture needles.\n \n \n \n\n\n \n Maldonado, I.; Illanes, A.; Boese, A.; Kalmar, M.; Sühn, T.; and Friebe, M.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt, Germany, September 2019. \n \n\n\n\n
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@inproceedings{maldonado_audio_2019,\n\taddress = {Frankfurt, Germany},\n\ttitle = {Audio waves and its loss of energy in puncture needles},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {Maldonado, I. and Illanes, A. and Boese, A. and Kalmar, M. and Sühn, T. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Epileptic seizure detection using cross-bispectrum of electroencephalogram signal.\n \n \n \n\n\n \n Mahmoodian, N.; Boese, A.; Friebe, M.; and Haddadnia, J.\n\n\n \n\n\n\n Seizure, 66: 4–11. March 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{mahmoodian_epileptic_2019,\n\ttitle = {Epileptic seizure detection using cross-bispectrum of electroencephalogram signal},\n\tvolume = {66},\n\tdoi = {10.1016/j.seizure.2019.02.001},\n\tjournal = {Seizure},\n\tauthor = {Mahmoodian, N. and Boese, A. and Friebe, M. and Haddadnia, J.},\n\tmonth = mar,\n\tyear = {2019},\n\tpages = {4--11},\n}\n\n
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\n \n\n \n \n \n \n \n Arm extension and device holding concept for minimal invasive image guided interventions.\n \n \n \n\n\n \n Kalmar, M.; Buss, G.; Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt, Germany, September 2019. \n \n\n\n\n
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@inproceedings{kalmar_arm_2019,\n\taddress = {Frankfurt, Germany},\n\ttitle = {Arm extension and device holding concept for minimal invasive image guided interventions},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {Kalmar, M. and Buss, G. and Fritzsche, H. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Erprobung eines neuartigen Ansatzes zur automatisierten Klassifizierung von kompaktendoskopischen Gefäßmustern bei laryngealen Läsionen.\n \n \n \n\n\n \n Davaris, N.; Esmaeili, N.; Illanes, A.; Boese, A.; Friebe, M.; and Arens, C.\n\n\n \n\n\n\n In Laryngo-Rhino-Otologie, pages 21–22, April 2019. Georg Thieme Verlag KG\n \n\n\n\n
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@inproceedings{davaris_erprobung_2019,\n\ttitle = {Erprobung eines neuartigen {Ansatzes} zur automatisierten {Klassifizierung} von kompaktendoskopischen {Gefäßmustern} bei laryngealen {Läsionen}},\n\tdoi = {10.1055/s-0039-1685691},\n\tbooktitle = {Laryngo-{Rhino}-{Otologie}},\n\tpublisher = {Georg Thieme Verlag KG},\n\tauthor = {Davaris, N. and Esmaeili, N. and Illanes, A. and Boese, A. and Friebe, M. and Arens, C.},\n\tmonth = apr,\n\tyear = {2019},\n\tpages = {21--22},\n}\n\n
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\n \n\n \n \n \n \n \n Audio Transducers and Signal Conditioning Strategies for Auscultation and Monitoring of the Carotid Artery.\n \n \n \n\n\n \n Salvi, R.; Sühn, T.; Maldonado, I.; Boese, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In SMIT 2019 - Annual conference of international Society for Medical Innovation and Technology, Heilbronn, Germany, October 2019. \n \n\n\n\n
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@inproceedings{salvi_audio_2019,\n\taddress = {Heilbronn, Germany},\n\ttitle = {Audio {Transducers} and {Signal} {Conditioning} {Strategies} for {Auscultation} and {Monitoring} of the {Carotid} {Artery}},\n\tbooktitle = {{SMIT} 2019 - {Annual} conference of international {Society} for {Medical} {Innovation} and {Technology}},\n\tauthor = {Salvi, R. and Sühn, T. and Maldonado, I. and Boese, A. and Illanes, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Novel automated vessel pattern characterization of larynx contact endoscopic video images.\n \n \n \n \n\n\n \n Esmaeili, N.; Illanes, A.; Boese, A.; Davaris, N.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n International journal of computer assisted radiology and surgery, 14(10): 1751–1761. July 2019.\n \n\n\n\n
\n\n\n\n \n \n \"NovelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{esmaeili_novel_2019,\n\ttitle = {Novel automated vessel pattern characterization of larynx contact endoscopic video images},\n\tvolume = {14},\n\turl = {https://link.springer.com/article/10.1007%2Fs11548-019-02034-9},\n\tdoi = {https://doi.org/10.1007/s11548-019-02034-9},\n\tnumber = {10},\n\tjournal = {International journal of computer assisted radiology and surgery},\n\tauthor = {Esmaeili, N. and Illanes, A. and Boese, A. and Davaris, N. and Arens, C. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {1751--1761},\n}\n\n
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\n \n\n \n \n \n \n \n Surgical Audio Guidance SurAG: novel non-invasive proximally acquired information on tip-tissue interactions.\n \n \n \n\n\n \n Illanes, A.; Boese, A.; Esmaeili, N.; Sühn, T.; Schaufler, A.; Maldonado, I.; Chen, C. H.; and Friebe, M.\n\n\n \n\n\n\n In SMIT 2019, Heilbronn, Germany, October 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_surgical_2019,\n\taddress = {Heilbronn, Germany},\n\ttitle = {Surgical {Audio} {Guidance} {SurAG}: novel non-invasive proximally acquired information on tip-tissue interactions},\n\tbooktitle = {{SMIT} 2019},\n\tauthor = {Illanes, A. and Boese, A. and Esmaeili, N. and Sühn, T. and Schaufler, A. and Maldonado, I. and Chen, C. H. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Improved Acquisition of Vibroarthrographic Signals of the Knee Joint.\n \n \n \n\n\n \n Klemm, L.; Sühn, T.; Spiller, M.; Illanes, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt., Germany, September 2019. \n \n\n\n\n
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@inproceedings{klemm_improved_2019,\n\taddress = {Frankfurt., Germany},\n\ttitle = {Improved {Acquisition} of {Vibroarthrographic} {Signals} of the {Knee} {Joint}},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {Klemm, L. and Sühn, T. and Spiller, M. and Illanes, A. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Optical endovascular imaging by combination of endoscopy and OCT.\n \n \n \n\n\n \n Boese, A.; Sivankutty, A.; and Friebe, M.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt, Germany, September 2019. \n \n\n\n\n
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@inproceedings{boese_optical_2019,\n\taddress = {Frankfurt, Germany},\n\ttitle = {Optical endovascular imaging by combination of endoscopy and {OCT}},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {Boese, A. and Sivankutty, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Dynamic Cooling IR thermographic imaging- an initial setup for non-invasive detection of small tumours.\n \n \n \n\n\n \n Boese, A.; Sadeghi, M.; Maldonado, I.; Sauerhering, J.; Schlosser, S.; Wehberg, H.; Wehberg, K.; and Friebe, M.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt, Germany, September 2019. \n \n\n\n\n
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@inproceedings{boese_dynamic_2019,\n\taddress = {Frankfurt, Germany},\n\ttitle = {Dynamic {Cooling} {IR} thermographic imaging- an initial setup for non-invasive detection of small tumours},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {Boese, A. and Sadeghi, M. and Maldonado, I. and Sauerhering, J. and Schlosser, S. and Wehberg, H. and Wehberg, K. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Automatic Classification of Laryngeal Lesions based on Vascular Patterns in Contact Endoscopy Images.\n \n \n \n\n\n \n Esmaeili, N.; Illanes, A.; Boese, A.; Davaris, N.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n In 28. Jahrestagung der Vereinigung Mitteldeutscher HNO-Ärzte, Magdeburg, Germany, September 2019. \n \n\n\n\n
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@inproceedings{esmaeili_automatic_2019,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Automatic {Classification} of {Laryngeal} {Lesions} based on {Vascular} {Patterns} in {Contact} {Endoscopy} {Images}},\n\tbooktitle = {28. {Jahrestagung} der {Vereinigung} {Mitteldeutscher} {HNO}-Ärzte},\n\tauthor = {Esmaeili, N. and Illanes, A. and Boese, A. and Davaris, N. and Arens, C. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n From HEALTHCARE to HEALTH and from CONTINUOUS CARE to PROACTIVE CARE anywhere and anytime.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n Medium Community. November 2019.\n \n\n\n\n
\n\n\n\n \n \n \"FromPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{friebe_healthcare_2019,\n\ttitle = {From {HEALTHCARE} to {HEALTH} and from {CONTINUOUS} {CARE} to {PROACTIVE} {CARE} anywhere and anytime},\n\turl = {https://medium.com/@michael_65652/from-healthcare-to-health-an-from-continuous-care-to-proactive-care-anywhere-and-anytime-ddf0c7f203a9},\n\tjournal = {Medium Community},\n\tauthor = {Friebe, M.},\n\tmonth = nov,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Innovative Hospital Management: Tracking of Radiological Protection Equipment.\n \n \n \n\n\n \n Fritzsche, H.; Ataide, E.; Bi, A.; Kalva, R.; Tripathi, S.; Boese, A.; Friebe, M.; and Gonschorek, T.\n\n\n \n\n\n\n International Journal of Biomedical and Clinical Engineering (IJBCE), 9. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{fritzsche_innovative_2019,\n\ttitle = {Innovative {Hospital} {Management}: {Tracking} of {Radiological} {Protection} {Equipment}},\n\tvolume = {9},\n\tdoi = {10.4018/IJBCE.2020010103},\n\tjournal = {International Journal of Biomedical and Clinical Engineering (IJBCE)},\n\tauthor = {Fritzsche, H. and Ataide, E. and Bi, A. and Kalva, R. and Tripathi, S. and Boese, A. and Friebe, M. and Gonschorek, T.},\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Automatic differentiation between Veress needle events in laparoscopic access using proximally attached audio signal characterization.\n \n \n \n\n\n \n Schaufler, A.; Sühn, T.; Esmaeili, N.; Boese, A.; Wex, C.; Croner, R.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 369–371. September 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{schaufler_automatic_2019,\n\ttitle = {Automatic differentiation between {Veress} needle events in laparoscopic access using proximally attached audio signal characterization},\n\tvolume = {5},\n\tdoi = {10.1515/cdbme-2019-0093},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Schaufler, A. and Sühn, T. and Esmaeili, N. and Boese, A. and Wex, C. and Croner, R. and Friebe, M. and Illanes, A.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {369--371},\n}\n\n
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\n \n\n \n \n \n \n \n Cardiotocograph Data Classification Improvement by Using Empirical Mode Decomposition.\n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; and Ortmeier, F.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 5646–5649, July 2019. IEEE\n \n\n\n\n
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@inproceedings{fuentealba_cardiotocograph_2019,\n\ttitle = {Cardiotocograph {Data} {Classification} {Improvement} by {Using} {Empirical} {Mode} {Decomposition}},\n\tvolume = {41},\n\tdoi = {10.1109/embc.2019.8856673},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Fuentealba, P. and Illanes, A. and Ortmeier, F.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {5646--5649},\n}\n\n
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\n \n\n \n \n \n \n \n \n Texture differentiation using audio signal analysis with robotic interventional instruments.\n \n \n \n \n\n\n \n Chen, C. H.; Sühn, T.; Kalmar, M.; Maldonado, I.; Wex, C.; Croner, R.; Boese, A.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Computers in Biology and Medicine, 112: 1–13. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"TexturePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{chen_texture_2019,\n\ttitle = {Texture differentiation using audio signal analysis with robotic interventional instruments},\n\tvolume = {112},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0010482519302471?via%3Dihub},\n\tdoi = {10.1016/j.compbiomed.2019.103370},\n\tjournal = {Computers in Biology and Medicine},\n\tauthor = {Chen, C. H. and Sühn, T. and Kalmar, M. and Maldonado, I. and Wex, C. and Croner, R. and Boese, A. and Friebe, M. and Illanes, A.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {1--13},\n}\n\n
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\n \n\n \n \n \n \n \n Innovative revolving biopsy device design supported by additive manufacturing.\n \n \n \n\n\n \n Al-Maatoq, M.; Doshi, A.; Kalmar, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n AMMM Additive Manufacturing Meets Medicine 2019,Vol 1 (2019): Trans. AMMM–. September 2019.\n \n\n\n\n
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@article{al-maatoq_innovative_2019,\n\ttitle = {Innovative revolving biopsy device design supported by additive manufacturing},\n\tdoi = {10.18416/AMMM.2019.1909S03P24},\n\tlanguage = {en},\n\tjournal = {AMMM Additive Manufacturing Meets Medicine 2019},\n\tauthor = {Al-Maatoq, M. and Doshi, A. and Kalmar, M. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {Vol 1 (2019): Trans. AMMM--},\n}\n\n
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\n \n\n \n \n \n \n \n Surgical Audio Guidance: using audio as a non-invasive sensing tool.\n \n \n \n\n\n \n Illanes, A.; Sühn, T.; Esmaeili, N.; Maldonado, I.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In IEEE EMB Special Topic Conference on Healthcare Innovations and Point-of-Care Technologies, Bethesda, USA, November 2019. \n \n\n\n\n
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@inproceedings{illanes_surgical_2019-1,\n\taddress = {Bethesda, USA},\n\ttitle = {Surgical {Audio} {Guidance}: using audio as a non-invasive sensing tool},\n\tbooktitle = {{IEEE} {EMB} {Special} {Topic} {Conference} on {Healthcare} {Innovations} and {Point}-of-{Care} {Technologies}},\n\tauthor = {Illanes, A. and Sühn, T. and Esmaeili, N. and Maldonado, I. and Boese, A. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Improved patient safety due to catheter based gas bubble removal during TURBT.\n \n \n \n\n\n \n Fritzsche, H.; Ataide, E.; John, J. M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n International Journal of Biomedical and Clinical Engineering (IJBCE), 9. 2019.\n \n\n\n\n
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@article{fritzsche_improved_2019,\n\ttitle = {Improved patient safety due to catheter based gas bubble removal during {TURBT}},\n\tvolume = {9},\n\tjournal = {International Journal of Biomedical and Clinical Engineering (IJBCE)},\n\tauthor = {Fritzsche, H. and Ataide, E. and John, J. M. and Boese, A. and Friebe, M.},\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Foetal heart rate assessment by empirical mode decomposition and spectral analysis.\n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; and Ortmeier, F.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 381–383. September 2019.\n \n\n\n\n
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@article{fuentealba_foetal_2019,\n\ttitle = {Foetal heart rate assessment by empirical mode decomposition and spectral analysis},\n\tvolume = {5},\n\tdoi = {10.1515/cdbme-2019-0096},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fuentealba, P. and Illanes, A. and Ortmeier, F.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {381--383},\n}\n\n
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\n \n\n \n \n \n \n \n Cardiotocographic Signal Feature Extraction Through CEEMDAN and Time-Varying Autoregressive Spectral-Based Analysis for Fetal Welfare Assessment.\n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; and Ortmeier, F.\n\n\n \n\n\n\n IEEE Access, 7: 159754–159772. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{fuentealba_cardiotocographic_2019,\n\ttitle = {Cardiotocographic {Signal} {Feature} {Extraction} {Through} {CEEMDAN} and {Time}-{Varying} {Autoregressive} {Spectral}-{Based} {Analysis} for {Fetal} {Welfare} {Assessment}},\n\tvolume = {7},\n\tdoi = {10.1109/access.2019.2950798},\n\tjournal = {IEEE Access},\n\tauthor = {Fuentealba, P. and Illanes, A. and Ortmeier, F.},\n\tyear = {2019},\n\tpages = {159754--159772},\n}\n\n
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\n \n\n \n \n \n \n \n \n Automated alignment detection of an additively manufactured Z-frame marker to process instrument targeting signals in interventional MRI.\n \n \n \n \n\n\n \n Odenbach, R.; Parsanejad, P.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 425–427. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"AutomatedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{odenbach_automated_2019,\n\ttitle = {Automated alignment detection of an additively manufactured {Z}-frame marker to process instrument targeting signals in interventional {MRI}},\n\tvolume = {5},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-1570538316/cdbme-2019-1570538316.xml?lang=en},\n\tdoi = {https://doi.org/10.1515/cdbme-2019-1570538316},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Odenbach, R. and Parsanejad, P. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {425--427},\n}\n\n
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\n \n\n \n \n \n \n \n \n Remotely controllable phantom rotation system for ultra-high field MRI to improve Cross Calibration.\n \n \n \n \n\n\n \n Thoma, N.; Odenbach, R.; Mattern, H.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 429–432. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"RemotelyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{thoma_remotely_2019,\n\ttitle = {Remotely controllable phantom rotation system for ultra-high field {MRI} to improve {Cross} {Calibration}},\n\tvolume = {5},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-1570538325/cdbme-2019-1570538325.xml},\n\tdoi = {https://doi.org/10.1515/cdbme-2019-1570538325},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Thoma, N. and Odenbach, R. and Mattern, H. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {429--432},\n}\n\n
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\n \n\n \n \n \n \n \n \n Computer Assisted Auscultation System for Phonoangiography of the Carotid Artery.\n \n \n \n \n\n\n \n Sühn, T.; Mahmoodian, N.; Sreenivas, A.; Maldonado, I.; Spiller, M.; Boese, A.; Illanes, A.; Friebe, M.; and Bloxton, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 175–178. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"ComputerPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{suhn_computer_2019,\n\ttitle = {Computer {Assisted} {Auscultation} {System} for {Phonoangiography} of the {Carotid} {Artery}},\n\tvolume = {5},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-0044/cdbme-2019-0044.xml?lang=de},\n\tdoi = {https://doi.org/10.1515/cdbme-2019-0044},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Sühn, T. and Mahmoodian, N. and Sreenivas, A. and Maldonado, I. and Spiller, M. and Boese, A. and Illanes, A. and Friebe, M. and Bloxton, M.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {175--178},\n}\n\n
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\n \n\n \n \n \n \n \n \n Audio waves and its loss of energy in puncture needles.\n \n \n \n \n\n\n \n Maldonado, I.; Illanes, A.; Kalmar, M.; Sühn, T.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 21–24. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"AudioPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{maldonado_audio_2019-1,\n\ttitle = {Audio waves and its loss of energy in puncture needles},\n\tvolume = {5},\n\turl = {https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-0006/cdbme-2019-0006.xml?lang=en},\n\tdoi = {https://doi.org/10.1515/cdbme-2019-0006},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Maldonado, I. and Illanes, A. and Kalmar, M. and Sühn, T. and Boese, A. and Friebe, M.},\n\tyear = {2019},\n\tpages = {21--24},\n}\n\n
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\n \n\n \n \n \n \n \n An adaptor equipped with a gamma probe to empower ultrasound-guided surgery of sentinel lymph nodes.\n \n \n \n\n\n \n Pashazadeh, A.; Kalmar, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In SMIT 2019 - Annual conference of international Society for Medical Innovation and Technology, Heilbronn, Germany, October 2019. \n \n\n\n\n
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@inproceedings{pashazadeh_adaptor_2019,\n\taddress = {Heilbronn, Germany},\n\ttitle = {An adaptor equipped with a gamma probe to empower ultrasound-guided surgery of sentinel lymph nodes},\n\tbooktitle = {{SMIT} 2019 - {Annual} conference of international {Society} for {Medical} {Innovation} and {Technology}},\n\tauthor = {Pashazadeh, A. and Kalmar, M. and Boese, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Surgical Audio Guidance SurAG: extracting non-invasively meaningful guidance information during minimally invasive procedures.\n \n \n \n\n\n \n Illanes, A.; Sühn, T.; Esmaeili, N.; Maldonado, I.; Schaufler, A.; Chen, C.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), pages 567–570, Athens, Greece, October 2019. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_surgical_2019-2,\n\taddress = {Athens, Greece},\n\ttitle = {Surgical {Audio} {Guidance} {SurAG}: extracting non-invasively meaningful guidance information during minimally invasive procedures},\n\tdoi = {10.1109/BIBE.2019.00108},\n\tbooktitle = {{IEEE} 19th {International} {Conference} on {Bioinformatics} and {Bioengineering} ({BIBE})},\n\tauthor = {Illanes, A. and Sühn, T. and Esmaeili, N. and Maldonado, I. and Schaufler, A. and Chen, C. and Boese, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2019},\n\tpages = {567--570},\n}\n\n
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\n \n\n \n \n \n \n \n \n Evaluation of MRI-compatible pneumatic muscle stepper motors.\n \n \n \n \n\n\n \n Odenbach, R.; Guthrie, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 339–341. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{odenbach_evaluation_2019,\n\ttitle = {Evaluation of {MRI}-compatible pneumatic muscle stepper motors},\n\tvolume = {5},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-1570538319/cdbme-2019-1570538319.xml?lang=de},\n\tdoi = {https://doi.org/10.1515/cdbme-2019-1570538319},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Odenbach, R. and Guthrie, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {339--341},\n}\n\n
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\n \n\n \n \n \n \n \n \n Optical endovascular imaging combining endoscopy, NBI and OCT, a feasibility study.\n \n \n \n \n\n\n \n Boese, A.; Sivankutty, A. K.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 5(1): 577–580. September 2019.\n \n\n\n\n
\n\n\n\n \n \n \"OpticalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{boese_optical_2019-1,\n\ttitle = {Optical endovascular imaging combining endoscopy, {NBI} and {OCT}, a feasibility study},\n\tvolume = {5},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/view/j/cdbme.2019.5.issue-1/cdbme-2019-0145/cdbme-2019-0145.xml?lang=en},\n\tdoi = {https://doi.org/10.1515/cdbme-2019-0145},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, A. and Sivankutty, A. K. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {577--580},\n}\n\n
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\n \n\n \n \n \n \n \n \n Interdisziplinäre zukunftsorientierte MedTec-Entwicklung.\n \n \n \n \n\n\n \n Fritzsche, H.\n\n\n \n\n\n\n DZKF Deutsche Zeitschrift für klinische Forschung,27–32. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"InterdisziplinärePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{fritzsche_interdisziplinare_2019,\n\ttitle = {Interdisziplinäre zukunftsorientierte {MedTec}-{Entwicklung}},\n\turl = {https://www.wissen-medizin.de/mgof-xaveropp/praxis-zeitschriften/start.xav?start=%2F%2F*%5B%40attr_id%3D%27DZK-2019–02-0027-.pdf%27%5D},\n\tjournal = {DZKF Deutsche Zeitschrift für klinische Forschung},\n\tauthor = {Fritzsche, H.},\n\tyear = {2019},\n\tpages = {27--32},\n}\n\n
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\n \n\n \n \n \n \n \n \n NITINOL-based actuator for device control even in high-field MRI environment.\n \n \n \n \n\n\n \n Kalmar, M.; Boese, A.; Maldonado, I.; Landes, R.; and Friebe, M.\n\n\n \n\n\n\n Medical Devices: Evidence and Research, 12: 285–296. August 2019.\n \n\n\n\n
\n\n\n\n \n \n \"NITINOL-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{kalmar_nitinol-based_2019,\n\ttitle = {{NITINOL}-based actuator for device control even in high-field {MRI} environment},\n\tvolume = {12},\n\turl = {https://www.dovepress.com/nitinol-based-actuator-for-device-control-even-in-high-field-mri-envir-peer-reviewed-article-MDER},\n\tdoi = {https://doi.org/10.2147/MDER.S211686},\n\tjournal = {Medical Devices: Evidence and Research},\n\tauthor = {Kalmar, M. and Boese, A. and Maldonado, I. and Landes, R. and Friebe, M.},\n\tmonth = aug,\n\tyear = {2019},\n\tpages = {285--296},\n}\n\n
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\n \n\n \n \n \n \n \n \n Anatomy 101 for AI‐driven robotics: Explanatory, ethical and legal frameworks for development of cadaveric skills training standards in autonomous robotic surgery/autopsy.\n \n \n \n \n\n\n \n O'Sullivan, S.; Leonard, S.; Holzinger, A.; Allen, C.; Battaglia, F.; Nevejans, N.; van Leeuwen, F. W. B.; Sajid, M. I.; Friebe, M.; Ashrafian, H.; Heinsen, H.; Wichmann, D.; and Hartnett, M.\n\n\n \n\n\n\n International Journal of Medical Robotics and Computer Assisted Surgery. May 2019.\n \n\n\n\n
\n\n\n\n \n \n \"AnatomyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{osullivan_anatomy_2019,\n\ttitle = {Anatomy 101 for {AI}‐driven robotics: {Explanatory}, ethical and legal frameworks for development of cadaveric skills training standards in autonomous robotic surgery/autopsy},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/rcs.2020},\n\tdoi = {https://doi.org/10.1002/rcs.2020},\n\tjournal = {International Journal of Medical Robotics and Computer Assisted Surgery},\n\tauthor = {O'Sullivan, S. and Leonard, S. and Holzinger, A. and Allen, C. and Battaglia, F. and Nevejans, N. and van Leeuwen, F. W. B. and Sajid, M. I. and Friebe, M. and Ashrafian, H. and Heinsen, H. and Wichmann, D. and Hartnett, M.},\n\tmonth = may,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Combination adapter with switchable collimator for gamma-ultrasound guided surgery of sentinel lymph nodes.\n \n \n \n\n\n \n Pashazadeh, A.; Karkhanis, T.; Kalmar, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In CURAC Annual Meeting of the German Society for Computer- and Robot-Assisted Surgery, Reutlingen, Germany, September 2019. \n \n\n\n\n
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@inproceedings{pashazadeh_combination_2019,\n\taddress = {Reutlingen, Germany},\n\ttitle = {Combination adapter with switchable collimator for gamma-ultrasound guided surgery of sentinel lymph nodes},\n\tbooktitle = {{CURAC} {Annual} {Meeting} of the {German} {Society} for {Computer}- and {Robot}-{Assisted} {Surgery}},\n\tauthor = {Pashazadeh, A. and Karkhanis, T. and Kalmar, M. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Feasibility of 3D printing for customized radiotherapeutic models to be used in superficial skin cancer therapy.\n \n \n \n\n\n \n Pashazadeh, A.; Castro, N. J.; Morganti, E.; Wille, M. L.; Boese, A.; Hutmacher, D. W.; and Friebe, M.\n\n\n \n\n\n\n AMMM 2019 International Conference on Additive Manufacturing Meets Medicine, 1(1): Vol 1 (2019): Trans. AMMM–. September 2019.\n \n\n\n\n
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@article{pashazadeh_feasibility_2019,\n\ttitle = {Feasibility of {3D} printing for customized radiotherapeutic models to be used in superficial skin cancer therapy},\n\tvolume = {1},\n\tdoi = {10.18416/AMMM.2019.1909S03P20},\n\tlanguage = {en},\n\tnumber = {1},\n\tjournal = {AMMM 2019 International Conference on Additive Manufacturing Meets Medicine},\n\tauthor = {Pashazadeh, A. and Castro, N. J. and Morganti, E. and Wille, M. L. and Boese, A. and Hutmacher, D. W. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n\tpages = {Vol 1 (2019): Trans. AMMM--},\n}\n\n
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\n \n\n \n \n \n \n \n \n Thyroid Ultrasound Texture Classification Using Autoregressive Features in Conjunction With Machine Learning Approaches.\n \n \n \n \n\n\n \n Poudel, P.; Illanes, A.; Ataide, E.; Esmaeili, N.; Balakrishnan, S.; and Friebe, M.\n\n\n \n\n\n\n In IEEE Access, volume 7, pages 79354–79365, Berlin, Germany, July 2019. Institute of Electrical and Electronics Engineers (IEEE)\n \n\n\n\n
\n\n\n\n \n \n \"ThyroidPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{poudel_thyroid_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Thyroid {Ultrasound} {Texture} {Classification} {Using} {Autoregressive} {Features} in {Conjunction} {With} {Machine} {Learning} {Approaches}},\n\tvolume = {7},\n\turl = {https://ieeexplore.ieee.org/document/8737902},\n\tdoi = {10.1109/ACCESS.2019.2923547},\n\tbooktitle = {{IEEE} {Access}},\n\tpublisher = {Institute of Electrical and Electronics Engineers (IEEE)},\n\tauthor = {Poudel, P. and Illanes, A. and Ataide, E. and Esmaeili, N. and Balakrishnan, S. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {79354--79365},\n}\n\n
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\n \n\n \n \n \n \n \n \n Testing of a novel approach for an automated classification of compact endoscopic vascular patterns in laryngeal lesions.\n \n \n \n \n\n\n \n Davaris, N.; Esmaeili, N.; Illanes, A.; Boese, A.; Friebe, M.; and Arens, C.\n\n\n \n\n\n\n In Laryngo-Rhino-Otologie, April 2019. Georg Thieme Verlag KG Stuttgart\n \n\n\n\n
\n\n\n\n \n \n \"TestingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{davaris_testing_2019,\n\ttitle = {Testing of a novel approach for an automated classification of compact endoscopic vascular patterns in laryngeal lesions},\n\turl = {https://www.thieme-connect.de/products/ejournals/abstract/10.1055/s-0039-1685700},\n\tdoi = {10.1055/s-0039-1685700},\n\tbooktitle = {Laryngo-{Rhino}-{Otologie}},\n\tpublisher = {Georg Thieme Verlag KG Stuttgart},\n\tauthor = {Davaris, N. and Esmaeili, N. and Illanes, A. and Boese, A. and Friebe, M. and Arens, C.},\n\tmonth = apr,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Superficial skin cancer therapy with Y‐90 microspheres: A feasibility study on patch preparation.\n \n \n \n \n\n\n \n Pashazadeh, A.; Landes, R.; Boese, A.; Kreissl, M.; Klopfleisch, M.; and Friebe, M.\n\n\n \n\n\n\n Journal of Skin Research and Technology. July 2019.\n \n\n\n\n
\n\n\n\n \n \n \"SuperficialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pashazadeh_superficial_2019,\n\ttitle = {Superficial skin cancer therapy with {Y}‐90 microspheres: {A} feasibility study on patch preparation},\n\turl = {https://onlinelibrary.wiley.com/doi/full/10.1111/srt.12758},\n\tdoi = {https://doi.org/10.1111/srt.12758},\n\tjournal = {Journal of Skin Research and Technology},\n\tauthor = {Pashazadeh, A. and Landes, R. and Boese, A. and Kreissl, M. and Klopfleisch, M. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Surface anatomy leading to personalized surface applicator: 3D printing for brachytherapy of skin tumors.\n \n \n \n\n\n \n Pashazadeh, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n AMMM 2019 International Conference on Additive Manufacturing Meets Medicine, 1(1). September 2019.\n \n\n\n\n
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@article{pashazadeh_surface_2019,\n\ttitle = {Surface anatomy leading to personalized surface applicator: {3D} printing for brachytherapy of skin tumors},\n\tvolume = {1},\n\tdoi = {10.18416/AMMM.2019.1909S03P21},\n\tlanguage = {en},\n\tnumber = {1},\n\tjournal = {AMMM 2019 International Conference on Additive Manufacturing Meets Medicine},\n\tauthor = {Pashazadeh, A. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Feasibility test of 2D tracked Ultrasound for 3D Heart reconstruction.\n \n \n \n\n\n \n Ziegle, J.; Boese, A.; Engelhardt, S.; Kreher, R.; Groschek, T.; Braun-Dullaeus, R.; Poudel, P.; and Friebe, M.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt/Main, Germany, September 2019. \n \n\n\n\n
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@inproceedings{ziegle_feasibility_2019,\n\taddress = {Frankfurt/Main, Germany},\n\ttitle = {Feasibility test of {2D} tracked {Ultrasound} for {3D} {Heart} reconstruction},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {Ziegle, J. and Boese, A. and Engelhardt, S. and Kreher, R. and Groschek, T. and Braun-Dullaeus, R. and Poudel, P. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n A Simple Method to Fabricate a Surface Brachytherapy Applicator for Beta Radiation Therapy of Superficial Skin Tumors.\n \n \n \n\n\n \n Pashazadeh, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
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@inproceedings{pashazadeh_simple_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {A {Simple} {Method} to {Fabricate} a {Surface} {Brachytherapy} {Applicator} for {Beta} {Radiation} {Therapy} of {Superficial} {Skin} {Tumors}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Pashazadeh, A. and Boese, A. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Novel Similarity Metric for Image-Based Out-Of-Plane Motion Estimation in 3D Ultrasound.\n \n \n \n\n\n \n Balakrishnan, S.; Patel, R.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 5739–5742, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{balakrishnan_novel_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Novel {Similarity} {Metric} for {Image}-{Based} {Out}-{Of}-{Plane} {Motion} {Estimation} in {3D} {Ultrasound}},\n\tvolume = {41},\n\tdoi = {10.1109/EMBC.2019.8857148},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Balakrishnan, S. and Patel, R. and Illanes, A. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {5739--5742},\n}\n\n
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\n \n\n \n \n \n \n \n Primary Design Concept for Nonmetallic MRI Compatible Needle for Spinal Applications.\n \n \n \n\n\n \n Al-Maatoq, M.; Boese, A.; Henke, H.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
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@inproceedings{al-maatoq_primary_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Primary {Design} {Concept} for {Nonmetallic} {MRI} {Compatible} {Needle} for {Spinal} {Applications}},\n\tdoi = {10.1109/EMBC.2019.8856995},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Al-Maatoq, M. and Boese, A. and Henke, H. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Revolving biopsy gun for soft tissues single access multi sample collection.\n \n \n \n\n\n \n AlMaatoq, M.; Doshi, A.; Kalmar, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt/Main, Germany, September 2019. \n \n\n\n\n
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@inproceedings{almaatoq_revolving_2019,\n\taddress = {Frankfurt/Main, Germany},\n\ttitle = {Revolving biopsy gun for soft tissues single access multi sample collection},\n\tbooktitle = {53rd {Annual} {Conference} of the {German} {Society} for {Biomedical} {Engineering} ({BMT} 2019)},\n\tauthor = {AlMaatoq, M. and Doshi, A. and Kalmar, M. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Novel Ultrasound Texture Based Similarity Metric Using Autoregressive Modelling.\n \n \n \n\n\n \n Balakrishnan, S.; Illanes, A.; and Friebe, A.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 7111–7114, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
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@inproceedings{balakrishnan_novel_2019-1,\n\taddress = {Berlin, Germany},\n\ttitle = {Novel {Ultrasound} {Texture} {Based} {Similarity} {Metric} {Using} {Autoregressive} {Modelling}},\n\tvolume = {41},\n\tdoi = {10.1109/EMBC.2019.8857098},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Balakrishnan, S. and Illanes, A. and Friebe, A.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {7111--7114},\n}\n\n
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\n \n\n \n \n \n \n \n \n Assessment of Sound Features for Needle Perforation Event Detection.\n \n \n \n \n\n\n \n Renna, F.; Illanes, A.; Oliveira, J.; Esmaeili, N.; Friebe, M.; and Coimbra, M.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 2597–2600, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"AssessmentPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{renna_assessment_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Assessment of {Sound} {Features} for {Needle} {Perforation} {Event} {Detection}},\n\tvolume = {41},\n\turl = {https://ieeexplore.ieee.org/document/8857413},\n\tdoi = {10.1109/EMBC.2019.8857413},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Renna, F. and Illanes, A. and Oliveira, J. and Esmaeili, N. and Friebe, M. and Coimbra, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {2597--2600},\n}\n\n
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\n \n\n \n \n \n \n \n \n Feasibility Study of a novel MRI-safe and interactive respiratory biofeedback system.\n \n \n \n \n\n\n \n Ellerau, M.; Odenbach, R.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
\n\n\n\n \n \n \"FeasibilityPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{ellerau_feasibility_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Feasibility {Study} of a novel {MRI}-safe and interactive respiratory biofeedback system},\n\turl = {https://ieeexplore.ieee.org/abstract/document/8857668},\n\tdoi = {10.1109/EMBC.2019.8857668},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Ellerau, M. and Odenbach, R. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Feedback-based self-improving CNN algorithm for breast cancer lymph node metastasis detection in real clinical environment.\n \n \n \n\n\n \n Sadeghi, M.; Maldonado, I.; Abele, N.; Haybaeck, J.; Boese, A.; Poudel, P.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
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@inproceedings{sadeghi_feedback-based_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Feedback-based self-improving {CNN} algorithm for breast cancer lymph node metastasis detection in real clinical environment},\n\tdoi = {10.1109/EMBC.2019.8857432},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Sadeghi, M. and Maldonado, I. and Abele, N. and Haybaeck, J. and Boese, A. and Poudel, P. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Design of an Auscultation System for Phonoangiography and Monitoring of Carotid Artery Diseases.\n \n \n \n\n\n \n Sühn, T.; Sreenivas, A.; Mahmoodian, N.; Maldonado, I.; Boese, A.; Illanes, A.; Bloxton, M.; and Friebe, M.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 1776–1779, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
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@inproceedings{suhn_design_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Design of an {Auscultation} {System} for {Phonoangiography} and {Monitoring} of {Carotid} {Artery} {Diseases}},\n\tvolume = {41},\n\tdoi = {10.1109/EMBC.2019.8857169},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Sühn, T. and Sreenivas, A. and Mahmoodian, N. and Maldonado, I. and Boese, A. and Illanes, A. and Bloxton, M. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {1776--1779},\n}\n\n
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\n \n\n \n \n \n \n \n \n A new 3D printed applicator with radioactive gel for conformal brachytherapy of superficial skin tumor.\n \n \n \n \n\n\n \n Pashazadeh, A.; Castro, N.; Boese, A.; Hutmacher, D.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{pashazadeh_new_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {A new {3D} printed applicator with radioactive gel for conformal brachytherapy of superficial skin tumor},\n\turl = {https://ieeexplore.ieee.org/abstract/document/8856407},\n\tdoi = {10.1109/EMBC.2019.8856407},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Pashazadeh, A. and Castro, N. and Boese, A. and Hutmacher, D. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Higher Order Statistical Analysis for Thyroid Texture Classification and Segmentation in 2D ultrasound Images.\n \n \n \n\n\n \n Mahmoodian, N.; Poudel, P.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 5832–5835, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
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@inproceedings{mahmoodian_higher_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Higher {Order} {Statistical} {Analysis} for {Thyroid} {Texture} {Classification} and {Segmentation} in {2D} ultrasound {Images}},\n\tvolume = {41},\n\tdoi = {10.1109/EMBC.2019.8857380},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Mahmoodian, N. and Poudel, P. and Illanes, A. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {5832--5835},\n}\n\n
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\n \n\n \n \n \n \n \n Improved Acquisition of Vibroarthrographic Signals of the Knee Joint.\n \n \n \n\n\n \n Klemm, L.; Sühn, T.; Spiller, M.; Illanes, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 1259–1262, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
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@inproceedings{klemm_improved_2019-1,\n\taddress = {Berlin, Germany},\n\ttitle = {Improved {Acquisition} of {Vibroarthrographic} {Signals} of the {Knee} {Joint}},\n\tvolume = {41},\n\tdoi = {10.1109/EMBC.2019.8857028},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Klemm, L. and Sühn, T. and Spiller, M. and Illanes, A. and Boese, A. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {1259--1262},\n}\n\n
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\n \n\n \n \n \n \n \n \n Patch Based Texture Classification of Thyroid Ultrasound Images using Convolutional Neural Network.\n \n \n \n \n\n\n \n Poudel, P.; Illanes, A.; Sadeghi, M.; and Friebe, M.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 5828–5831, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"PatchPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{poudel_patch_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Patch {Based} {Texture} {Classification} of {Thyroid} {Ultrasound} {Images} using {Convolutional} {Neural} {Network}},\n\tvolume = {41},\n\turl = {https://ieeexplore.ieee.org/document/8857929},\n\tdoi = {10.1109/EMBC.2019.8857929},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Poudel, P. and Illanes, A. and Sadeghi, M. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {5828--5831},\n}\n\n
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\n \n\n \n \n \n \n \n Ethical Design Considerations for MedTec Developments in an Exponential World with AI / Robotics / Blockchains / Tissue Engineering / 3D Printing / Genetics Engineering.\n \n \n \n\n\n \n Friebe, M.; and Herzog, C.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
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@inproceedings{friebe_ethical_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Ethical {Design} {Considerations} for {MedTec} {Developments} in an {Exponential} {World} with {AI} / {Robotics} / {Blockchains} / {Tissue} {Engineering} / {3D} {Printing} / {Genetics} {Engineering}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Friebe, M. and Herzog, C.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Can a Medical Technology University Chair be transformed to a Start-Up with University Affiliation using DESIGN SPRINT concepts?.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n Medium Community. March 2019.\n \n\n\n\n
\n\n\n\n \n \n \"CanPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{friebe_can_2019,\n\ttitle = {Can a {Medical} {Technology} {University} {Chair} be transformed to a {Start}-{Up} with {University} {Affiliation} using {DESIGN} {SPRINT} concepts?},\n\turl = {https://medium.com/@michael_65652/can-a-medical-technology-university-chair-be-transformed-to-a-start-up-with-university-affiliation-1c6bdcdcb362},\n\tjournal = {Medium Community},\n\tauthor = {Friebe, M.},\n\tmonth = mar,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n A Preliminary Study on Automatic Characterization and Classification of Vascular Patterns of Contact Endoscopy Images.\n \n \n \n\n\n \n Esmaeili, N.; Illanes, A.; Boese, A.; Davaris, N.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), volume 41, pages 2703–2706, Berlin, Germany, July 2019. IEEE\n \n\n\n\n
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@inproceedings{esmaeili_preliminary_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {A {Preliminary} {Study} on {Automatic} {Characterization} and {Classification} of {Vascular} {Patterns} of {Contact} {Endoscopy} {Images}},\n\tvolume = {41},\n\tdoi = {10.1109/EMBC.2019.8857145},\n\tbooktitle = {2019 41st {Annual} {International} {Conference} of the {IEEE} {Engineering} in {Medicine} and {Biology} {Society} ({EMBC})},\n\tpublisher = {IEEE},\n\tauthor = {Esmaeili, N. and Illanes, A. and Boese, A. and Davaris, N. and Arens, C. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {2703--2706},\n}\n\n
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\n \n\n \n \n \n \n \n Ethical Design Considerations for MedTec: The Big Picture and Accompanying Concerns.\n \n \n \n\n\n \n Ataide, E.; Maartens, J.; Bartling, S.; Hutmacher, D.; Herzog, C.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
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@inproceedings{ataide_ethical_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Ethical {Design} {Considerations} for {MedTec}: {The} {Big} {Picture} and {Accompanying} {Concerns}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Ataide, E. and Maartens, J. and Bartling, S. and Hutmacher, D. and Herzog, C. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Using Blockchain for Healthcare Applications: Foundations for Ethicaldesign Considerations.\n \n \n \n\n\n \n Bartling, S.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
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@inproceedings{bartling_using_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Using {Blockchain} for {Healthcare} {Applications}: {Foundations} for {Ethicaldesign} {Considerations}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Bartling, S. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Is the typical University ready to accept a Serial Entrepreneur as Research Professor?.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n Medium Community. March 2019.\n \n\n\n\n
\n\n\n\n \n \n \"IsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{friebe_is_2019,\n\ttitle = {Is the typical {University} ready to accept a {Serial} {Entrepreneur} as {Research} {Professor}?},\n\turl = {https://medium.com/@michael_65652/is-the-typical-university-ready-to-accept-a-serial-entrepreneur-as-research-professor-d764a5c1d1fd},\n\tjournal = {Medium Community},\n\tauthor = {Friebe, M.},\n\tmonth = mar,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Acoustic emission integration for ultrasound guidance: a feasibility study for needle based clinical procedures.\n \n \n \n\n\n \n Illanes, A.; Esmaeili, N.; Renna, F.; Oliveira, J.; Coimbra, M.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2019 Computer Assisted Radiology and Surgery, Rennes, France, June 2019. \n \n\n\n\n
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@inproceedings{illanes_acoustic_2019,\n\taddress = {Rennes, France},\n\ttitle = {Acoustic emission integration for ultrasound guidance: a feasibility study for needle based clinical procedures},\n\tbooktitle = {{CARS} 2019 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Illanes, A. and Esmaeili, N. and Renna, F. and Oliveira, J. and Coimbra, M. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Improved laparoscopic access guidance for Verres needle procedures by means of proximally attached audio evaluation.\n \n \n \n\n\n \n Schaufler, A.; Illanes, A.; Boese, A.; Wex, C.; Croner, R.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2019 Computer Assisted Radiology and Surgery, Rennes, France, June 2019. \n \n\n\n\n
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@inproceedings{schaufler_improved_2019,\n\taddress = {Rennes, France},\n\ttitle = {Improved laparoscopic access guidance for {Verres} needle procedures by means of proximally attached audio evaluation},\n\tbooktitle = {{CARS} 2019 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Schaufler, A. and Illanes, A. and Boese, A. and Wex, C. and Croner, R. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Radiation therapy techniques in the treatment of skin cancer: an overview of the current status and outlook.\n \n \n \n \n\n\n \n Pashazadeh, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Journal of Dermatological Treatments, 31: 1–41. January 2019.\n \n\n\n\n
\n\n\n\n \n \n \"RadiationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pashazadeh_radiation_2019,\n\ttitle = {Radiation therapy techniques in the treatment of skin cancer: an overview of the current status and outlook},\n\tvolume = {31},\n\turl = {https://www.tandfonline.com/doi/full/10.1080/09546634.2019.1573310},\n\tdoi = {10.1080/09546634.2019.1573310},\n\tjournal = {Journal of Dermatological Treatments},\n\tauthor = {Pashazadeh, A. and Boese, A. and Friebe, M.},\n\tmonth = jan,\n\tyear = {2019},\n\tpages = {1--41},\n}\n\n
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\n \n\n \n \n \n \n \n Ethics As an Essential Teaching Element for Innovative Medical Technology Engineering Education.\n \n \n \n\n\n \n Herzog, C.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, pages 1, Berlin, Germany, July 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{herzog_ethics_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {Ethics {As} an {Essential} {Teaching} {Element} for {Innovative} {Medical} {Technology} {Engineering} {Education}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Herzog, C. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n\tpages = {1},\n}\n\n
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\n \n\n \n \n \n \n \n \n Exploring the possibilities to characterize the soft tissue using Acoustic emission waveforms.\n \n \n \n \n\n\n \n Singh, Y.; Hu, W.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n March 2019.\n \n\n\n\n
\n\n\n\n \n \n \"ExploringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{singh_exploring_2019,\n\ttitle = {Exploring the possibilities to characterize the soft tissue using {Acoustic} emission waveforms},\n\turl = {https://easychair.org/publications/preprint/bZJP},\n\tauthor = {Singh, Y. and Hu, W. and Illanes, A. and Friebe, M.},\n\tmonth = mar,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning.\n \n \n \n \n\n\n \n Mahmoodian, N.; Schaufler, A.; Pashazadeh, A.; Boese, A.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Computers in Biology and Medicine, 107: 10–17. April 2019.\n \n\n\n\n
\n\n\n\n \n \n \"ProximalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{mahmoodian_proximal_2019,\n\ttitle = {Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning},\n\tvolume = {107},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0010482519300344},\n\tdoi = {10.1016/j.compbiomed.2019.02.001},\n\tjournal = {Computers in Biology and Medicine},\n\tauthor = {Mahmoodian, N. and Schaufler, A. and Pashazadeh, A. and Boese, A. and Friebe, M. and Illanes, A.},\n\tmonth = apr,\n\tyear = {2019},\n\tpages = {10--17},\n}\n\n
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\n \n\n \n \n \n \n \n \n My one day at ECR.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n DOTmed HealthCareBusiness news. March 2019.\n \n\n\n\n
\n\n\n\n \n \n \"MyPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{friebe_my_2019,\n\ttitle = {My one day at {ECR}},\n\turl = {https://es.dotmed.com/news/story/46456/},\n\tjournal = {DOTmed HealthCareBusiness news},\n\tauthor = {Friebe, M.},\n\tmonth = mar,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Radioguided surgery; physical principles and an update on technological developments.\n \n \n \n\n\n \n Pashazadeh, A.; and Friebe, M.\n\n\n \n\n\n\n Biomedical Engineering / Biomedizininische Technik, (0). July 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{pashazadeh_radioguided_2019,\n\ttitle = {Radioguided surgery; physical principles and an update on technological developments},\n\tdoi = {10.1515/bmt-2018-0016},\n\tnumber = {0},\n\tjournal = {Biomedical Engineering / Biomedizininische Technik},\n\tauthor = {Pashazadeh, A. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n MedTec Related Exponential Technologies Require Ethical Design Considerations and an Adapted Engineering Education.\n \n \n \n\n\n \n Friebe, M.; and Herzog, C.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Berlin, Germany, July 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{friebe_medtec_2019,\n\taddress = {Berlin, Germany},\n\ttitle = {{MedTec} {Related} {Exponential} {Technologies} {Require} {Ethical} {Design} {Considerations} and an {Adapted} {Engineering} {Education}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Friebe, M. and Herzog, C.},\n\tmonth = jul,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Conformal Radiofrequency Ablation to Validate Ultrasound Thermometry.\n \n \n \n \n\n\n \n Audigier, C.; Kim, Y.; Ziegle, J.; Friebe, M.; and Boctor, E. M.\n\n\n \n\n\n\n In SPIE Medical Imaging 2019, San Diego, USA, February 2019. SPIE\n \n\n\n\n
\n\n\n\n \n \n \"ConformalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{audigier_conformal_2019,\n\taddress = {San Diego, USA},\n\ttitle = {Conformal {Radiofrequency} {Ablation} to {Validate} {Ultrasound} {Thermometry}},\n\turl = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10951/1095122/Conformal-radiofrequency-ablation-to-validate-ultrasound-thermometry/10.1117/12.2512788.short?SSO=1},\n\tdoi = {10.1117/12.2512788},\n\tbooktitle = {{SPIE} {Medical} {Imaging} 2019},\n\tpublisher = {SPIE},\n\tauthor = {Audigier, C. and Kim, Y. and Ziegle, J. and Friebe, M. and Boctor, E. M.},\n\tmonth = feb,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n \n Parametrical modelling for texture characterization - A novel approach applied to ultrasound thyroid segmentation.\n \n \n \n \n\n\n \n Illanes, A.; Esmaeili, N.; Poudel, P.; Balakrishnan, S.; and Friebe, M.\n\n\n \n\n\n\n PLOS ONE, 14(1): e0211215. January 2019.\n \n\n\n\n
\n\n\n\n \n \n \"ParametricalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{illanes_parametrical_2019,\n\ttitle = {Parametrical modelling for texture characterization - {A} novel approach applied to ultrasound thyroid segmentation},\n\tvolume = {14},\n\turl = {https://journals.plos.org/plosone/article/comments?id=10.1371/journal.pone.0211215},\n\tdoi = {10.1371/journal.pone.0211215},\n\tnumber = {1},\n\tjournal = {PLOS ONE},\n\tauthor = {Illanes, A. and Esmaeili, N. and Poudel, P. and Balakrishnan, S. and Friebe, M.},\n\tmonth = jan,\n\tyear = {2019},\n\tpages = {e0211215},\n}\n\n
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\n \n\n \n \n \n \n \n \n Electrochemotherapy: A Review of Current Status, Alternative IGP Approaches and Future Perspectives.\n \n \n \n \n\n\n \n Esmaeili, N.; and Friebe, M.\n\n\n \n\n\n\n Journal of Healthcare Engineering, 2019. January 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Electrochemotherapy:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{esmaeili_electrochemotherapy_2019,\n\ttitle = {Electrochemotherapy: {A} {Review} of {Current} {Status}, {Alternative} {IGP} {Approaches} and {Future} {Perspectives}},\n\tvolume = {2019},\n\turl = {https://www.hindawi.com/journals/jhe/2019/2784516/},\n\tdoi = {10.1155/2019/2784516},\n\tjournal = {Journal of Healthcare Engineering},\n\tauthor = {Esmaeili, N. and Friebe, M.},\n\tmonth = jan,\n\tyear = {2019},\n}\n\n
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\n \n\n \n \n \n \n \n Feasibility and Initial Results of Assisted Ultrasound Scan Acquisition for Improved Tomographic Visualization.\n \n \n \n\n\n \n Ataide, E. J. G.; Ziegle, J.; Kalmar, M.; Rathi, S.; Shukla, S.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 2019 IEEE 16th India Council International Conference (INDICON), pages 1–4, December 2019. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{ataide_feasibility_2019,\n\ttitle = {Feasibility and {Initial} {Results} of {Assisted} {Ultrasound} {Scan} {Acquisition} for {Improved} {Tomographic} {Visualization}},\n\tdoi = {10.1109/INDICON47234.2019.9030358},\n\tabstract = {Ultrasound imaging provides a 2D single slice that can be combined to a volume known as Tomographic US (TUS) employing various tracking methods. TUS is vital for three dimensional visualization of pathological structures and aids physicians in providing a better diagnosis of the condition. Freehand TUS scans have drawbacks such as overlapping of image slices, change in the angulation of the probe and deformation of structures below the epidermis due to a change in applied force. US scan acquisition is highly user dependent and therefore provides varying imaging quality. An assisted scan acquisition process is a possible solution to address and solve these issues and with that improve the 3D volume reconstruction. We propose the design, development and testing of a prototype device that enables assisted acquisition of US image slices, while addressing limitations of freehand TUS scans.},\n\tbooktitle = {2019 {IEEE} 16th {India} {Council} {International} {Conference} ({INDICON})},\n\tauthor = {Ataide, Elmer Jeto Gomes and Ziegle, Jens and Kalmar, Marco and Rathi, Sanchit and Shukla, Shambhavi and Boese, Axel and Friebe, Michael},\n\tmonth = dec,\n\tyear = {2019},\n\tkeywords = {Assisted US, Image reconstruction, Imaging, Probes, Prototypes, Three-dimensional displays, Tomographic Ultrasound, US Guidance, Ultrasonic imaging, Ultrasound Imaging, Visualization},\n\tpages = {1--4},\n}\n\n
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\n\n\n
\n Ultrasound imaging provides a 2D single slice that can be combined to a volume known as Tomographic US (TUS) employing various tracking methods. TUS is vital for three dimensional visualization of pathological structures and aids physicians in providing a better diagnosis of the condition. Freehand TUS scans have drawbacks such as overlapping of image slices, change in the angulation of the probe and deformation of structures below the epidermis due to a change in applied force. US scan acquisition is highly user dependent and therefore provides varying imaging quality. An assisted scan acquisition process is a possible solution to address and solve these issues and with that improve the 3D volume reconstruction. We propose the design, development and testing of a prototype device that enables assisted acquisition of US image slices, while addressing limitations of freehand TUS scans.\n
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\n \n\n \n \n \n \n \n A dedicated RFID chip registration system for the management of radiation protection wear.\n \n \n \n\n\n \n Fritzsche, H.; Ataide, E.; Tripathi, S.; Kalva, R.; Bi, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Bangalore, India, December 2018. \n \n\n\n\n
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@inproceedings{fritzsche_dedicated_2018,\n\taddress = {Bangalore, India},\n\ttitle = {A dedicated {RFID} chip registration system for the management of radiation protection wear},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Fritzsche, H. and Ataide, E. and Tripathi, S. and Kalva, R. and Bi, A. and Boese, A. and Friebe, M.},\n\tmonth = dec,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Augmented Reality in the Surgical Suite: An Application for ENT Endoscopic Surgery.\n \n \n \n\n\n \n Ataide, E.; Fritzsche, H.; Gurrapu, S. R.; Potluri, L. S.; Chittamuri, D.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Bangalore, India, December 2018. \n \n\n\n\n
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@inproceedings{ataide_augmented_2018,\n\taddress = {Bangalore, India},\n\ttitle = {Augmented {Reality} in the {Surgical} {Suite}: {An} {Application} for {ENT} {Endoscopic} {Surgery}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Ataide, E. and Fritzsche, H. and Gurrapu, S. R. and Potluri, L. S. and Chittamuri, D. and Boese, A. and Friebe, M.},\n\tmonth = dec,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Approaches for improved patient safety: Catheter based gas bubble removal during TURBT.\n \n \n \n\n\n \n Fritzsche, H.; Ataide, E.; John, J. M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Bangalore, India, December 2018. \n \n\n\n\n
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@inproceedings{fritzsche_approaches_2018,\n\taddress = {Bangalore, India},\n\ttitle = {Approaches for improved patient safety: {Catheter} based gas bubble removal during {TURBT}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Fritzsche, H. and Ataide, E. and John, J. M. and Boese, A. and Friebe, M.},\n\tmonth = dec,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Post-operative non-invasively assessment of ejection fraction in patients of atrial fibrillation.\n \n \n \n \n\n\n \n Deepa; Singh, Y.; Friebe, M.; and Hu, W.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, Aachen, Germany, November 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Post-operativePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{deepa_post-operative_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Post-operative non-invasively assessment of ejection fraction in patients of atrial fibrillation},\n\turl = {https://www.researchgate.net/publication/328602492_POST-OPERATIVE_NON-INVASIVELY_ASSESSMENT_OF_EJECTION_FRACTION_IN_PATIENTS_OF_ATRIAL_FIBRILLATION},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tauthor = {{Deepa} and Singh, Y. and Friebe, M. and Hu, W.},\n\tmonth = nov,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Spectral-Based Analysis of Progressive Dynamical Changes in the Fetal Heart Rate Signal During Labor by Using Empirical Mode Decomposition.\n \n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; and Ortmeier, F.\n\n\n \n\n\n\n Computing in Cardiology, 45: 1–4. December 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Spectral-BasedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{fuentealba_spectral-based_2018,\n\ttitle = {Spectral-{Based} {Analysis} of {Progressive} {Dynamical} {Changes} in the {Fetal} {Heart} {Rate} {Signal} {During} {Labor} by {Using} {Empirical} {Mode} {Decomposition}},\n\tvolume = {45},\n\turl = {http://www.cinc.org/archives/2018/pdf/CinC2018-095.pdf},\n\tdoi = {10.22489/CinC.2018.095},\n\tjournal = {Computing in Cardiology},\n\tauthor = {Fuentealba, P. and Illanes, A. and Ortmeier, F.},\n\tmonth = dec,\n\tyear = {2018},\n\tpages = {1--4},\n}\n\n
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\n \n\n \n \n \n \n \n Signal acquisition of tissue tool interactions in robotic surgery.\n \n \n \n\n\n \n Chen, C. H.; Sühn, T.; Maldonado, I.; Ahmad, H.; Illanes, A.; Wex, C.; Croner, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Biomdeical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. De Gruyter\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{chen_signal_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Signal acquisition of tissue tool interactions in robotic surgery},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {Biomdeical {Engineering} / {Biomedizinische} {Technik}},\n\tpublisher = {De Gruyter},\n\tauthor = {Chen, C. H. and Sühn, T. and Maldonado, I. and Ahmad, H. and Illanes, A. and Wex, C. and Croner, R. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Flexible interventional imaging system based on miniaturized (X)-ray tubes (Flex Scan).\n \n \n \n \n\n\n \n Lagotzki, S.; Iftikhar, M.; Friebe, M.; and Boese, A.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 4(1): 63–66. September 2018.\n \n\n\n\n
\n\n\n\n \n \n \"FlexiblePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{lagotzki_flexible_2018,\n\ttitle = {Flexible interventional imaging system based on miniaturized ({X})-ray tubes ({Flex} {Scan})},\n\tvolume = {4},\n\turl = {https://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0016/cdbme-2018-0016.xml?rskey=WX7y9z&result=3},\n\tdoi = {10.1515/cdbme-2018-0016},\n\tabstract = {In orthopedic hand surgeries C-arms are the standard imaging modalities for procedure and tool guidance. However, the currently used systems have a large footprint and high weight, which can lead to workspace restrictions and difficult positioning of the device at the desired imaging position. The aim of this paper is to present a prototype of a new, flexible, lightweight and small footprint X-ray system, which is capable to create 2D projection images from different orientations. The new design includes a miniaturized Xray tube covered in a custom-made case mounted on a flexible holding arm attached to the standard OR table rail. With that, fast positioning and fixation for the subsequent image acquisition is achieved. A flat panel detector is placed in an adjustable metal sheet construction below the table. For safety aspects an overlay of the X-ray cone beam with an integrated light source visualizes the irradiation area. The acquired images are visualized on a 2-in-1 netbook. A foot pedal initiates the imaging process. A prototype of the free movable miniaturized X-ray system FlexScan was build. Workspace restriction, usability and general imaging needs were simulated and tested. FlexScan has the potential to improve X-ray guided interventions on extremities especially for small private surgery centers. It fulfills the general imaging needs and is capable of producing 2D projection images from different orientations within a small and lightweight setup.},\n\tnumber = {1},\n\turldate = {2018-09-24},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Lagotzki, S. and Iftikhar, M. and Friebe, M. and Boese, A.},\n\tmonth = sep,\n\tyear = {2018},\n\tkeywords = {free movable arm, hand surgery, miniaturized X-ray system, orthopedic surgery, small footprint, standard table rail},\n\tpages = {63--66},\n}\n\n
\n
\n\n\n
\n In orthopedic hand surgeries C-arms are the standard imaging modalities for procedure and tool guidance. However, the currently used systems have a large footprint and high weight, which can lead to workspace restrictions and difficult positioning of the device at the desired imaging position. The aim of this paper is to present a prototype of a new, flexible, lightweight and small footprint X-ray system, which is capable to create 2D projection images from different orientations. The new design includes a miniaturized Xray tube covered in a custom-made case mounted on a flexible holding arm attached to the standard OR table rail. With that, fast positioning and fixation for the subsequent image acquisition is achieved. A flat panel detector is placed in an adjustable metal sheet construction below the table. For safety aspects an overlay of the X-ray cone beam with an integrated light source visualizes the irradiation area. The acquired images are visualized on a 2-in-1 netbook. A foot pedal initiates the imaging process. A prototype of the free movable miniaturized X-ray system FlexScan was build. Workspace restriction, usability and general imaging needs were simulated and tested. FlexScan has the potential to improve X-ray guided interventions on extremities especially for small private surgery centers. It fulfills the general imaging needs and is capable of producing 2D projection images from different orientations within a small and lightweight setup.\n
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\n \n\n \n \n \n \n \n \n Vascular pattern detection and recognition in endoscopic imaging of the vocal folds.\n \n \n \n \n\n\n \n Boese, A.; Illanes, A.; Balakrishnan, S.; Davaris, N.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 4(1): 75–78. September 2018.\n \n\n\n\n
\n\n\n\n \n \n \"VascularPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{boese_vascular_2018,\n\ttitle = {Vascular pattern detection and recognition in endoscopic imaging of the vocal folds},\n\tvolume = {4},\n\turl = {https://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0019/cdbme-2018-0019.xml},\n\tdoi = {10.1515/cdbme-2018-0019},\n\tabstract = {At present transoral laryngeal interventions are mainly observed and controlled by an external two dimensional direct microscopic view. This modality provides an overall view on the surgery situs in a straight line of sight. For treatment planning and appropriate documentation, an endoscopic inspection is mandatory prior to surgery. Nowadays a detailed endoscopic work-up of laryngeal lesions can be performed by contact endoscopy in combination with structure enhancement like Narrow Band Imaging. High resolution and magnification of up to 150 times provide detailed visualization of vascular structures and pathological changes of the tissue surface. In these procedures it is difficult however to localize the evaluated areas on large scale scenes like the microscopic view used for surgery. To provide a fast and easy image matching an automated vessel pattern recognition and allocation is presented. Endoscopic images depicting representative vessel structures of the vocal folds are selected out of contact endoscopy video scenes. These images are pre-processed for background homogenization. A Frangi Vessel Segmentation filter and morphological operations are used to extract the vessel structure and match it to the microscopic image. Using this method 4 detailed contact endoscopy images could be allocated in different scenes of the microscope video. This method can be used to simplify treatment planning and to prepare image data for documentation.},\n\tnumber = {1},\n\turldate = {2018-09-24},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, A. and Illanes, A. and Balakrishnan, S. and Davaris, N. and Arens, C. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n\tkeywords = {ENT, Endoscopy, Image analysis, Larynx, Pattern allocation, Pattern recognition, Surgery, Vocal folds},\n\tpages = {75--78},\n}\n\n
\n
\n\n\n
\n At present transoral laryngeal interventions are mainly observed and controlled by an external two dimensional direct microscopic view. This modality provides an overall view on the surgery situs in a straight line of sight. For treatment planning and appropriate documentation, an endoscopic inspection is mandatory prior to surgery. Nowadays a detailed endoscopic work-up of laryngeal lesions can be performed by contact endoscopy in combination with structure enhancement like Narrow Band Imaging. High resolution and magnification of up to 150 times provide detailed visualization of vascular structures and pathological changes of the tissue surface. In these procedures it is difficult however to localize the evaluated areas on large scale scenes like the microscopic view used for surgery. To provide a fast and easy image matching an automated vessel pattern recognition and allocation is presented. Endoscopic images depicting representative vessel structures of the vocal folds are selected out of contact endoscopy video scenes. These images are pre-processed for background homogenization. A Frangi Vessel Segmentation filter and morphological operations are used to extract the vessel structure and match it to the microscopic image. Using this method 4 detailed contact endoscopy images could be allocated in different scenes of the microscope video. This method can be used to simplify treatment planning and to prepare image data for documentation.\n
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\n \n\n \n \n \n \n \n Proximal Audio Sensor Integration for Acoustic Palpation during Robotic Surgery and Human Monitoring Applications including situational Awareness and Navigation.\n \n \n \n\n\n \n Illanes, A.; Chen, C. H.; Sühn, T.; Maldonado, I.; Wex, C.; Croner, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 1st International Workshop on Smart Skins, Munich, November 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{illanes_proximal_2018,\n\taddress = {Munich},\n\ttitle = {Proximal {Audio} {Sensor} {Integration} for {Acoustic} {Palpation} during {Robotic} {Surgery} and {Human} {Monitoring} {Applications} including situational {Awareness} and {Navigation}},\n\tbooktitle = {1st {International} {Workshop} on {Smart} {Skins}},\n\tauthor = {Illanes, A. and Chen, C. H. and Sühn, T. and Maldonado, I. and Wex, C. and Croner, R. and Boese, A. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Non-invasive sensors and signal processing for guiding medical interventional devices.\n \n \n \n\n\n \n Singh, Y.; Weichih, H.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In 3rd Global Conference on Biomedical Engineering, Taoyuan, Taiwan, November 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{singh_non-invasive_2018,\n\taddress = {Taoyuan, Taiwan},\n\ttitle = {Non-invasive sensors and signal processing for guiding medical interventional devices},\n\tbooktitle = {3rd {Global} {Conference} on {Biomedical} {Engineering}},\n\tauthor = {Singh, Y. and Weichih, H. and Illanes, A. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Conceptual design of a personalized radiation therapy patch for skin cancer.\n \n \n \n \n\n\n \n Pashazadeh, A.; Castro, N.; Morganti, E.; Hutmacher, D.; Lagotzki, S.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 4(1): 607–610. September 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ConceptualPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{pashazadeh_conceptual_2018,\n\ttitle = {Conceptual design of a personalized radiation therapy patch for skin cancer},\n\tvolume = {4},\n\turl = {https://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0146/cdbme-2018-0146.xml?rskey=WX7y9z&result=2},\n\tdoi = {10.1515/cdbme-2018-0146},\n\tabstract = {Radiation therapy is a valuable option for treatment of skin cancer. In order to deliver the radiation dose to the superficial skin tumor, an X-ray source, electron beam radiation therapy or a radioisotope is applied. The effectiveness of these procedures is well established in the literature. Findings of some recent studies have indicated that beta particles can be of particular interest in suppressing skin tumor growth. Betaemitting radioisotopes are favorable because of the short penetration depth of their emitted particles. Beta radiation can induce significant damage in superficial skin tumor, and at the same time, result in enhanced protection of the underlying healthy tissues. In this study, we propose the design of a patch that can be used in beta radiation therapy of skin cancer patients. For that, we describe the components of this radioactive patch, as well as a proposal for the subsequent clinical application procedure. A scaffold was used as a substrate for embedding the desired beta-emitting radioisotope, and two layers of hydrogel to provide protection and shielding for the radioactively labelled scaffold. The proposed design could provide a universal platform for all beta-emitting radioisotopes. Depending on the depth of the tumor spread, a suitable beta emitter for that specific tumor can be selected and used. This is of particular and critical importance in cases where the tumor is located directly on top of the bone and for which the depth of penetration of radiation should be limited to only the tumor volume. The proposed design has the mechanical flexibility to adapt to curved body regions so as to allow the use in anatomically challenging areas of the body.},\n\tnumber = {1},\n\turldate = {2018-09-24},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Pashazadeh, A. and Castro, N. and Morganti, E. and Hutmacher, D. and Lagotzki, S. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n\tkeywords = {Superficial radiation therapy, beta particles, planar beta radiation source, radioactive patch, radioactive scaffold, skin cancer},\n\tpages = {607--610},\n}\n\n
\n
\n\n\n
\n Radiation therapy is a valuable option for treatment of skin cancer. In order to deliver the radiation dose to the superficial skin tumor, an X-ray source, electron beam radiation therapy or a radioisotope is applied. The effectiveness of these procedures is well established in the literature. Findings of some recent studies have indicated that beta particles can be of particular interest in suppressing skin tumor growth. Betaemitting radioisotopes are favorable because of the short penetration depth of their emitted particles. Beta radiation can induce significant damage in superficial skin tumor, and at the same time, result in enhanced protection of the underlying healthy tissues. In this study, we propose the design of a patch that can be used in beta radiation therapy of skin cancer patients. For that, we describe the components of this radioactive patch, as well as a proposal for the subsequent clinical application procedure. A scaffold was used as a substrate for embedding the desired beta-emitting radioisotope, and two layers of hydrogel to provide protection and shielding for the radioactively labelled scaffold. The proposed design could provide a universal platform for all beta-emitting radioisotopes. Depending on the depth of the tumor spread, a suitable beta emitter for that specific tumor can be selected and used. This is of particular and critical importance in cases where the tumor is located directly on top of the bone and for which the depth of penetration of radiation should be limited to only the tumor volume. The proposed design has the mechanical flexibility to adapt to curved body regions so as to allow the use in anatomically challenging areas of the body.\n
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\n \n\n \n \n \n \n \n \n Proximally placed signal acquisition sensoric for robotic tissue tool interactions.\n \n \n \n \n\n\n \n Chen, C. H.; Sühn, T.; Illanes, A.; Maldonado, I.; Ahmad, H.; Wex, C.; Croner, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 4(1): 67–70. September 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ProximallyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@article{chen_proximally_2018,\n\ttitle = {Proximally placed signal acquisition sensoric for robotic tissue tool interactions},\n\tvolume = {4},\n\tissn = {2364-5504},\n\turl = {https://www.degruyter.com/view/j/cdbme.2018.4.issue-1/cdbme-2018-0017/cdbme-2018-0017.xml},\n\tdoi = {10.1515/cdbme-2018-0017},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Chen, C. H. and Sühn, T. and Illanes, A. and Maldonado, I. and Ahmad, H. and Wex, C. and Croner, R. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n\tkeywords = {acoustic emission, daVinci, haptic feedback, palpation, robotic surgery, tissue tool interaction},\n\tpages = {67--70},\n}\n\n
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\n \n\n \n \n \n \n \n \n What will MR look like in ten years?.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n DOTmed HealthCareBusiness news. September 2018.\n \n\n\n\n
\n\n\n\n \n \n \"WhatPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{friebe_what_2018,\n\ttitle = {What will {MR} look like in ten years?},\n\turl = {https://de.dotmed.com/news/story/44035},\n\tjournal = {DOTmed HealthCareBusiness news},\n\tauthor = {Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Ultrasound Based Temperature Estimation for Thermal Therapy Monitoring.\n \n \n \n\n\n \n Abu Anas, E. M.; Audigier, C.; Kim, Y.; Ziegle, J.; Friebe, M.; and Boctor, E.\n\n\n \n\n\n\n In 10th Image Guided Therapy Workshop, Boston, USA, October 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{abu_anas_ultrasound_2018,\n\taddress = {Boston, USA},\n\ttitle = {Ultrasound {Based} {Temperature} {Estimation} for {Thermal} {Therapy} {Monitoring}},\n\tbooktitle = {10th {Image} {Guided} {Therapy} {Workshop}},\n\tauthor = {Abu Anas, E. M. and Audigier, C. and Kim, Y. and Ziegle, J. and Friebe, M. and Boctor, E.},\n\tmonth = oct,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n RF-ablation pattern shaping employing switching channels of dual bipolar needle electrodes: ex vivo results.\n \n \n \n \n\n\n \n Ziegle, J.; Audigier, C.; Krug, J.; Ali, G.; Kim, Y.; Boctor, E. M.; and Friebe, M.\n\n\n \n\n\n\n International Journal of Computer Assisted Radiology and Surgery, 13(6): 905–9016. June 2018.\n \n\n\n\n
\n\n\n\n \n \n \"RF-ablationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ziegle_rf-ablation_2018,\n\ttitle = {{RF}-ablation pattern shaping employing switching channels of dual bipolar needle electrodes: ex vivo results},\n\tvolume = {13},\n\tissn = {1861-6410},\n\turl = {https://link.springer.com/article/10.1007%2Fs11548-018-1769-8},\n\tdoi = {10.1007/s11548-018-1769-8},\n\tnumber = {6},\n\tjournal = {International Journal of Computer Assisted Radiology and Surgery},\n\tauthor = {Ziegle, J. and Audigier, C. and Krug, J. and Ali, G. and Kim, Y. and Boctor, E. M. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n\tpages = {905--9016},\n}\n\n
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\n \n\n \n \n \n \n \n \n Correction to: RF-ablation pattern shaping employing switching channels of dual bipolar needle electrodes: ex vivo results.\n \n \n \n \n\n\n \n Ziegle, J.; Audigier, C.; Krug, J.; Ali, G.; Kim, Y.; Boctor, E. M.; and Friebe, M.\n\n\n \n\n\n\n International Journal of Computer Assisted Radiology and Surgery, 13. July 2018.\n \n\n\n\n
\n\n\n\n \n \n \"CorrectionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ziegle_correction_2018,\n\ttitle = {Correction to: {RF}-ablation pattern shaping employing switching channels of dual bipolar needle electrodes: ex vivo results},\n\tvolume = {13},\n\turl = {https://rdcu.be/MaYU},\n\tdoi = {10.1007/s11548-018-1815-6},\n\tjournal = {International Journal of Computer Assisted Radiology and Surgery},\n\tauthor = {Ziegle, J. and Audigier, C. and Krug, J. and Ali, G. and Kim, Y. and Boctor, E. M. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Initial results on energy harvesting by exploiting the temperature gradient in hip implants.\n \n \n \n\n\n \n Sühn, T.; Döring, J.; Betrand, J.; Lohmann, C.; Shetty, S.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. De Gruyter\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{suhn_initial_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Initial results on energy harvesting by exploiting the temperature gradient in hip implants},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tpublisher = {De Gruyter},\n\tauthor = {Sühn, T. and Döring, J. and Betrand, J. and Lohmann, C. and Shetty, S. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Evaluation of commonly used algorithms for thyroid ultrasound images segmentation and improvement using machine learning approaches.\n \n \n \n\n\n \n Poudel, P.; Illanes, A.; Sheet, D.; and Friebe, M.\n\n\n \n\n\n\n Journal of Healthcare Engineering, 2018(Article ID 8087624): 1–13. September 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{poudel_evaluation_2018,\n\ttitle = {Evaluation of commonly used algorithms for thyroid ultrasound images segmentation and improvement using machine learning approaches},\n\tvolume = {2018},\n\tdoi = {10.1155/2018/8087624},\n\tnumber = {Article ID 8087624},\n\tjournal = {Journal of Healthcare Engineering},\n\tauthor = {Poudel, P. and Illanes, A. and Sheet, D. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n\tpages = {1--13},\n}\n\n
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\n \n\n \n \n \n \n \n Novel Ablative Therapy Monitoring Approach: Temperature Mapping using Ultrasound Smart Ablation Tools.\n \n \n \n\n\n \n Audigier, C.; Younsu, K.; Ziegle, J.; Friebe, M.; and Boctor, E.\n\n\n \n\n\n\n In 10th Image Guided Therapy Workshop, Boston, USA, October 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{audigier_novel_2018,\n\taddress = {Boston, USA},\n\ttitle = {Novel {Ablative} {Therapy} {Monitoring} {Approach}: {Temperature} {Mapping} using {Ultrasound} {Smart} {Ablation} {Tools}},\n\tbooktitle = {10th {Image} {Guided} {Therapy} {Workshop}},\n\tauthor = {Audigier, C. and Younsu, K. and Ziegle, J. and Friebe, M. and Boctor, E.},\n\tmonth = oct,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Cardiac Electrophysiology Studies Based on Image and Machine Learning.\n \n \n \n \n\n\n \n Singh, Y.; Deepa; Wu, S.; Friebe, M.; Tavares, J.; and Hu, W.\n\n\n \n\n\n\n Journal of Biomedical Engineering and Technology, 6(1). February 2018.\n \n\n\n\n
\n\n\n\n \n \n \"CardiacPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{singh_cardiac_2018,\n\ttitle = {Cardiac {Electrophysiology} {Studies} {Based} on {Image} and {Machine} {Learning}},\n\tvolume = {6},\n\turl = {http://pubs.sciepub.com/jbet/6/1/1/},\n\tdoi = {10.12691/jbet-6-1-1},\n\tnumber = {1},\n\tjournal = {Journal of Biomedical Engineering and Technology},\n\tauthor = {Singh, Y. and {Deepa} and Wu, S.Y. and Friebe, M. and Tavares, J.M.R.S. and Hu, W.},\n\tmonth = feb,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n IMPACT - European Innovation Training Network.\n \n \n \n\n\n \n Sühn, T.; Fritzsche, H.; Friebe, M.; and Boese, A.\n\n\n \n\n\n\n In BME IDEA EU 2018, Barcelona, Spain, June 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{suhn_impact_2018,\n\taddress = {Barcelona, Spain},\n\ttitle = {{IMPACT} - {European} {Innovation} {Training} {Network}},\n\tbooktitle = {{BME} {IDEA} {EU} 2018},\n\tauthor = {Sühn, T. and Fritzsche, H. and Friebe, M. and Boese, A.},\n\tmonth = jun,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Development of 4D Dynamic Simulation Tool for the Evaluation of Left Ventricular Myocardial Functions.\n \n \n \n\n\n \n Skakyawar, D.; Singh, Y.; Wu, S.; and Friebe, M. T.\n\n\n \n\n\n\n In ICIPCVPR 2018 - 20th International Conference on Image Processing, Computer Vision, and Pattern Recognition, Berlin, Germany, 2018. \n \n\n\n\n
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@inproceedings{skakyawar_development_2018,\n\taddress = {Berlin, Germany},\n\ttitle = {Development of {4D} {Dynamic} {Simulation} {Tool} for the {Evaluation} of {Left} {Ventricular} {Myocardial} {Functions}},\n\tdoi = {10.1999/1307-6892/92196},\n\tbooktitle = {{ICIPCVPR} 2018 - 20th {International} {Conference} on {Image} {Processing}, {Computer} {Vision}, and {Pattern} {Recognition}},\n\tauthor = {Skakyawar, D. and Singh, Y. and Wu, S.Y. and Friebe, M. Tavares, J.M.R.S. Wei-Chih, H.},\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n 3D reconstruction of thyroid ultrasound images segmentation using k-means clustering.\n \n \n \n\n\n \n Poudel, P.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. \n \n\n\n\n
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@inproceedings{poudel_3d_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {{3D} reconstruction of thyroid ultrasound images segmentation using k-means clustering},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tauthor = {Poudel, P. and Illanes, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Linear Discriminant Analysis and K-Means Clustering for Classification of Thyroid Texture in Ultrasound Images.\n \n \n \n\n\n \n Poudel, P.; Ataide, E.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Honolulu, USA, June 2018. \n \n\n\n\n
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@inproceedings{poudel_linear_2018,\n\taddress = {Honolulu, USA},\n\ttitle = {Linear {Discriminant} {Analysis} and {K}-{Means} {Clustering} for {Classification} of {Thyroid} {Texture} in {Ultrasound} {Images}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Poudel, P. and Ataide, E. and Illanes, A. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Classification of thyroid texture in ultrasound images using Bayesian Network and Adaptive Boosting.\n \n \n \n\n\n \n Poudel, P.; Ghosh, S.; Sühn, T.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 13, Berlin, Germany, June 2018. \n \n\n\n\n
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@inproceedings{poudel_classification_2018,\n\taddress = {Berlin, Germany},\n\ttitle = {Classification of thyroid texture in ultrasound images using {Bayesian} {Network} and {Adaptive} {Boosting}},\n\tvolume = {13},\n\tdoi = {10.1007/s11548-018-1766-y},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Poudel, P. and Ghosh, S. and Sühn, T. and Illanes, A. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Modular low cost and intuitive setup for in-bore needle based MRI procedures.\n \n \n \n\n\n \n Sanchez, J.; Lagotzki, S.; Boese, A.; Odenbach, R.; Vogele, M.; and Henke, H.\n\n\n \n\n\n\n In 12th Interventional MRI Symposium, pages 45, Boston, USA, October 2018. \n \n\n\n\n
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@inproceedings{sanchez_modular_2018,\n\taddress = {Boston, USA},\n\ttitle = {Modular low cost and intuitive setup for in-bore needle based {MRI} procedures},\n\tbooktitle = {12th {Interventional} {MRI} {Symposium}},\n\tauthor = {Sanchez, J. and Lagotzki, S. and Boese, A. and Odenbach, R. and Vogele, M. and Henke, H.-W.},\n\tmonth = oct,\n\tyear = {2018},\n\tpages = {45},\n}\n\n
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\n \n\n \n \n \n \n \n Thyroid Texture Classification in Ultrasound Images Using Bootstrap Aggregating.\n \n \n \n\n\n \n Poudel, P.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Honolulu, USA, June 2018. \n \n\n\n\n
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@inproceedings{poudel_thyroid_2018,\n\taddress = {Honolulu, USA},\n\ttitle = {Thyroid {Texture} {Classification} in {Ultrasound} {Images} {Using} {Bootstrap} {Aggregating}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Poudel, P. and Illanes, A. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Conceptual design of a personalized radiation therapy patch for skin cancer.\n \n \n \n\n\n \n Pashazadeh, A.; Castro, N.; Morganti, E.; Lagotzki, S.; Boese, A.; Hutmacher, D.; and Friebe, M.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. \n \n\n\n\n
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@inproceedings{pashazadeh_conceptual_2018-1,\n\taddress = {Aachen, Germany},\n\ttitle = {Conceptual design of a personalized radiation therapy patch for skin cancer},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tauthor = {Pashazadeh, A. and Castro, N. and Morganti, E. and Lagotzki, S. and Boese, A. and Hutmacher, D. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n 3D-printed, bendable grid marker for interventional MRI.\n \n \n \n\n\n \n Odenbach, R.; Parsanejad, P.; and Friebe, M.\n\n\n \n\n\n\n In 12th Interventional MRI Symposium, pages 46, Boston, USA, October 2018. \n \n\n\n\n
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@inproceedings{odenbach_3d-printed_2018,\n\taddress = {Boston, USA},\n\ttitle = {{3D}-printed, bendable grid marker for interventional {MRI}},\n\tbooktitle = {12th {Interventional} {MRI} {Symposium}},\n\tauthor = {Odenbach, R. and Parsanejad, P. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2018},\n\tpages = {46},\n}\n\n
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\n \n\n \n \n \n \n \n 3D-printed MRI marker for personalized interventional applications through T1 and T2 relaxation time matching.\n \n \n \n\n\n \n Mattern, H.; Odenbach, R.; Parsanejad, P.; and Friebe, M.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 13, Berlin, Germany, June 2018. \n \n\n\n\n
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@inproceedings{mattern_3d-printed_2018,\n\taddress = {Berlin, Germany},\n\ttitle = {{3D}-printed {MRI} marker for personalized interventional applications through {T1} and {T2} relaxation time matching},\n\tvolume = {13},\n\tdoi = {10.1007/s11548-018-1766-y},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Mattern, H. and Odenbach, R. and Parsanejad, P. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Evaluation of an audio acquisition system for targeting assistance.\n \n \n \n\n\n \n Maldonado, I.; Illanes, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. \n \n\n\n\n
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@inproceedings{maldonado_evaluation_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Evaluation of an audio acquisition system for targeting assistance},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tauthor = {Maldonado, I. and Illanes, A. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Comparative Study of Left Ventricular Low Wall Motion with Scar Tissue Using 4D Left Ventricular Cardiac Images.\n \n \n \n\n\n \n Lee, C.; Singh, Y.; Friebe, M.; and Hu, W.\n\n\n \n\n\n\n Journal of Biomedical Engineering and Medical Imaging, 5(2): 29. May 2018.\n \n\n\n\n
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@article{lee_comparative_2018,\n\ttitle = {Comparative {Study} of {Left} {Ventricular} {Low} {Wall} {Motion} with {Scar} {Tissue} {Using} {4D} {Left} {Ventricular} {Cardiac} {Images}},\n\tvolume = {5},\n\tdoi = {10.14738/jbemi. 52.4368},\n\tnumber = {2},\n\tjournal = {Journal of Biomedical Engineering and Medical Imaging},\n\tauthor = {Lee, C.Y. and Singh, Y. and Friebe, M. and Hu, W.C.},\n\tmonth = may,\n\tyear = {2018},\n\tpages = {29},\n}\n\n
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\n \n\n \n \n \n \n \n \n A study of concentration changes of Protoporphyrin IX and Coproporphyrin III in mixed samples mimicking conditions inside cancer cells for Photodynamic Therapy.\n \n \n \n \n\n\n \n Landes, R.; Illanes, A.; Goeppner, D.; Gollnick, H.; and Friebe, M.\n\n\n \n\n\n\n PLOS ONE, 13(8). August 2018.\n \n\n\n\n
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@article{landes_study_2018,\n\ttitle = {A study of concentration changes of {Protoporphyrin} {IX} and {Coproporphyrin} {III} in mixed samples mimicking conditions inside cancer cells for {Photodynamic} {Therapy}},\n\tvolume = {13},\n\turl = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0202349},\n\tdoi = {10.1371/journal.pone.0202349},\n\tnumber = {8},\n\tjournal = {PLOS ONE},\n\tauthor = {Landes, R. and Illanes, A. and Goeppner, D. and Gollnick, H. and Friebe, M.},\n\tmonth = aug,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Fiber-optic filter fluorometer for emission detection of Protoporphyrin IX and its direct precursors - A preliminary study for improved Photodynamic Therapy applications.\n \n \n \n \n\n\n \n Landes, R.; Illanes, A.; van Oepen, A.; Goeppner, D.; Gollnick, H.; and Friebe, M.\n\n\n \n\n\n\n Results in Physics, 8: 1232–1233. March 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Fiber-opticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{landes_fiber-optic_2018,\n\ttitle = {Fiber-optic filter fluorometer for emission detection of {Protoporphyrin} {IX} and its direct precursors - {A} preliminary study for improved {Photodynamic} {Therapy} applications},\n\tvolume = {8},\n\turl = {https://www.sciencedirect.com/science/article/pii/S2211379717320028},\n\tdoi = {10.1016/j.rinp.2018.01.059},\n\tjournal = {Results in Physics},\n\tauthor = {Landes, R. and Illanes, A. and van Oepen, A. and Goeppner, D. and Gollnick, H. and Friebe, M.},\n\tmonth = mar,\n\tyear = {2018},\n\tpages = {1232--1233},\n}\n\n
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\n \n\n \n \n \n \n \n Flexible interventional imaging system based on miniaturized X-ray tubes (FlexScan).\n \n \n \n\n\n \n Lagotzki, S.; Iftikhar, M.; Friebe, M.; and Boese, A.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. \n \n\n\n\n
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@inproceedings{lagotzki_flexible_2018-1,\n\taddress = {Aachen, Germany},\n\ttitle = {Flexible interventional imaging system based on miniaturized {X}-ray tubes ({FlexScan})},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tauthor = {Lagotzki, S. and Iftikhar, M. and Friebe, M. and Boese, A.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n EasyJector - a lightweight, inexpensive, easy to use MRI injection system.\n \n \n \n\n\n \n Kalmar, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 12th Interventional MRI Symposium, pages 44, Boston, USA, October 2018. \n \n\n\n\n
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@inproceedings{kalmar_easyjector_2018,\n\taddress = {Boston, USA},\n\ttitle = {{EasyJector} - a lightweight, inexpensive, easy to use {MRI} injection system},\n\tbooktitle = {12th {Interventional} {MRI} {Symposium}},\n\tauthor = {Kalmar, M. and Boese, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2018},\n\tpages = {44},\n}\n\n
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\n \n\n \n \n \n \n \n \n CUST: CNN for Ultrasound Thermal Image Reconstruction Using Sparse Time-of-Flight Information.\n \n \n \n \n\n\n \n Kim, Y.; Audigier, C.; Anas, E. M. A.; Ziegle, J.; Friebe, M.; and Boctor, E. M.\n\n\n \n\n\n\n In Stoyanov, D.; Taylor, Z.; Aylward, S.; Tavares, J. M. R. S.; Xiao, Y.; Simpson, A.; Martel, A.; Maier-Hein, L.; Li, S.; Rivaz, H.; Reinertsen, I.; Chabanas, M.; and Farahani, K., editor(s), Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings, volume 11042, pages 29–37. Springer International Publishing, Granada, Spain, September 2018.\n \n\n\n\n
\n\n\n\n \n \n \"CUST:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{kim_cust_2018,\n\taddress = {Granada, Spain},\n\ttitle = {{CUST}: {CNN} for {Ultrasound} {Thermal} {Image} {Reconstruction} {Using} {Sparse} {Time}-of-{Flight} {Information}},\n\tvolume = {11042},\n\tisbn = {978-3-030-01044-7},\n\turl = {https://www.springerprofessional.de/cust-cnn-for-ultrasound-thermal-image-reconstruction-using-spars/16125544},\n\tabstract = {Thermotherapy is a clinical procedure to induce a desired biological tissue response through temperature changes. To precisely operate the procedure, temperature monitoring during the treatment is essential. Ultrasound propagation velocity in biological tissue changes as temperature increases. An external ultrasound element was integrated with a bipolar radiofrequency (RF) ablation probe to collect time-of-flight information carried by ultrasound waves going through the ablated tissues. Recovering temperature at the pixel level from the limited information acquired from this minimal setup is an ill-posed problem. Therefore, we propose a learning approach using a designed convolutional neural network. Training and testing were performed with temperature images generated with a computational bioheat model simulating a RF ablation. The reconstructed thermal images were compared with results from another sound velocity reconstruction method. The proposed method showed better stability and accuracy for different ultrasound element locations. Ex-vivo experiments were also performed on porcine liver to evaluate the proposed temperature reconstruction method.},\n\tbooktitle = {Simulation, {Image} {Processing}, and {Ultrasound} {Systems} for {Assisted} {Diagnosis} and {Navigation} {International} {Workshops}, {POCUS} 2018, {BIVPCS} 2018, {CuRIOUS} 2018, and {CPM} 2018, {Held} in {Conjunction} with {MICCAI} 2018, {Granada}, {Spain}, {September} 16–20, 2018, {Proceedings}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Kim, Y. and Audigier, C. and Anas, E. M. A. and Ziegle, J. and Friebe, M. and Boctor, E. M.},\n\teditor = {Stoyanov, D. and Taylor, Z. and Aylward, S. and Tavares, J. M. R. S. and Xiao, Y. and Simpson, A. and Martel, A. and Maier-Hein, L. and Li, S. and Rivaz, H. and Reinertsen, I. and Chabanas, M. and Farahani, K.},\n\tmonth = sep,\n\tyear = {2018},\n\tdoi = {10.1007/978-3-030-01045-4},\n\tpages = {29--37},\n}\n\n
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\n Thermotherapy is a clinical procedure to induce a desired biological tissue response through temperature changes. To precisely operate the procedure, temperature monitoring during the treatment is essential. Ultrasound propagation velocity in biological tissue changes as temperature increases. An external ultrasound element was integrated with a bipolar radiofrequency (RF) ablation probe to collect time-of-flight information carried by ultrasound waves going through the ablated tissues. Recovering temperature at the pixel level from the limited information acquired from this minimal setup is an ill-posed problem. Therefore, we propose a learning approach using a designed convolutional neural network. Training and testing were performed with temperature images generated with a computational bioheat model simulating a RF ablation. The reconstructed thermal images were compared with results from another sound velocity reconstruction method. The proposed method showed better stability and accuracy for different ultrasound element locations. Ex-vivo experiments were also performed on porcine liver to evaluate the proposed temperature reconstruction method.\n
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\n \n\n \n \n \n \n \n Towards acoustic emission and ultrasound integration for needle guidance in minimally invasive procedures.\n \n \n \n\n\n \n Kewlani, L.; Illanes, A.; Menze, B.; Maldonado, I.; and Friebe, M.\n\n\n \n\n\n\n In In Book of abstracts 52nd annual conference of the German Society for Biomedical Engineering, volume 63, Aachen, Germany, September 2018. De Gruyter\n \n\n\n\n
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@inproceedings{kewlani_towards_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Towards acoustic emission and ultrasound integration for needle guidance in minimally invasive procedures},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {In {Book} of abstracts 52nd annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tpublisher = {De Gruyter},\n\tauthor = {Kewlani, L. and Illanes, A. and Menze, B. and Maldonado, I. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n \n Ultrasound thermal monitoring with an external ultrasound source for customized bipolar RF ablation shapes.\n \n \n \n \n\n\n \n Kim, Y.; Audigier, C.; Ziegle, J.; Friebe, M.; and Boctor, E.\n\n\n \n\n\n\n International Journal of Computer Assisted Radiology and Surgery, [Epub ahead of print]: 1–12. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"UltrasoundPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{kim_ultrasound_2018,\n\ttitle = {Ultrasound thermal monitoring with an external ultrasound source for customized bipolar {RF} ablation shapes},\n\tvolume = {[Epub ahead of print]},\n\turl = {https://link.springer.com/article/10.1007%2Fs11548-018-1744-4},\n\tdoi = {10.1007/s11548-018-1744-4},\n\tjournal = {International Journal of Computer Assisted Radiology and Surgery},\n\tauthor = {Kim, Y. and Audigier, C. and Ziegle, J. and Friebe, M. and Boctor, E.M.},\n\tyear = {2018},\n\tpages = {1--12},\n}\n\n
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\n \n\n \n \n \n \n \n Novel Clinical Device Tracking and Tissue Characterization Using Proximally Placed Audio Signal Acquisition and Processing.\n \n \n \n\n\n \n Illanes, A.; Boese, A.; Maldonado, I.; Pashazadeh, A.; Schaufler, A.; Navab, N.; and Friebe, M.\n\n\n \n\n\n\n Scientific Reports, 8(12070). August 2018.\n \n\n\n\n
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@article{illanes_novel_2018,\n\ttitle = {Novel {Clinical} {Device} {Tracking} and {Tissue} {Characterization} {Using} {Proximally} {Placed} {Audio} {Signal} {Acquisition} and {Processing}},\n\tvolume = {8},\n\tissn = {2045-2322},\n\tdoi = {10.1038/s41598-018-30641-0},\n\tnumber = {12070},\n\tjournal = {Scientific Reports},\n\tauthor = {Illanes, A. and Boese, A. and Maldonado, I. and Pashazadeh, A. and Schaufler, A. and Navab, N. and Friebe, M.},\n\tmonth = aug,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Proximal guide wire audio sensing - the sound of vessel perforation.\n \n \n \n\n\n \n Illanes, A.; Maldonado, I.; Mahmoodian, N.; Schaufler, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 15th Interdisciplinary Cerebrovascular Symposium, Magdeburg, Germany, June 2018. \n \n\n\n\n
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@inproceedings{illanes_proximal_2018,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Proximal guide wire audio sensing - the sound of vessel perforation},\n\tbooktitle = {15th {Interdisciplinary} {Cerebrovascular} {Symposium}},\n\tauthor = {Illanes, A. and Maldonado, I. and Mahmoodian, N. and Schaufler, A. and Boese, A. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Interventional device guidance support with proximal audio emission signal acquisition.\n \n \n \n\n\n \n Illanes, A.; Boese, A.; Maldonado, I.; Pashazadeh, A.; Schaufler, A.; Navab, N.; and Friebe, M.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 13, pages 192–193, Berlin, Germany, June 2018. \n \n\n\n\n
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@inproceedings{illanes_interventional_2018,\n\taddress = {Berlin, Germany},\n\ttitle = {Interventional device guidance support with proximal audio emission signal acquisition},\n\tvolume = {13},\n\tdoi = {10.1007/s11548-018-1766-y},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Illanes, A. and Boese, A. and Maldonado, I. and Pashazadeh, A. and Schaufler, A. and Navab, N. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n\tpages = {192--193},\n}\n\n
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\n \n\n \n \n \n \n \n Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling.\n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; and Ortmeier, F.\n\n\n \n\n\n\n In Current Directions in Biomedical Engineering, volume 4, pages 579–582, Aachen, Germany, September 2018. De Gruyter\n \n\n\n\n
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@inproceedings{fuentealba_foetal_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Foetal heart rate signal spectral analysis by using time-varying autoregressive modelling},\n\tvolume = {4},\n\tdoi = {10.1515/cdbme-2018-0139},\n\tbooktitle = {Current {Directions} in {Biomedical} {Engineering}},\n\tpublisher = {De Gruyter},\n\tauthor = {Fuentealba, P. and Illanes, A. and Ortmeier, F.},\n\tmonth = sep,\n\tyear = {2018},\n\tpages = {579--582},\n}\n\n
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\n \n\n \n \n \n \n \n Angel Investing at its best: Leitfaden für Business Angels II.\n \n \n \n\n\n \n Friebe, M.; and Geiger, I.\n\n\n \n\n\n\n In Guenther, U.; and Kirchhof, R., editor(s), pages 338–343. Verlag Going Public Media AG, Muenchen, May 2018.\n \n\n\n\n
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@incollection{friebe_angel_2018,\n\taddress = {Muenchen},\n\ttitle = {Angel {Investing} at its best: {Leitfaden} für {Business} {Angels} {II}},\n\tisbn = {978-3-943021-81-3},\n\tpublisher = {Verlag Going Public Media AG},\n\tauthor = {Friebe, M. and Geiger, I.},\n\teditor = {Guenther, U. and Kirchhof, R.},\n\tmonth = may,\n\tyear = {2018},\n\tpages = {338--343},\n}\n\n
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\n \n\n \n \n \n \n \n \n In-room ultrasound fusion combined with fully compatible 3D-printed holding arm – rethinking interventional MRI.\n \n \n \n \n\n\n \n Friebe, M.; Sanchez, J.; Balakrishnan, S.; Illanes, A.; Nagaraj, Y.; Odenbach, R.; Maatoq, M.; Krombach, G.; Vogele, M.; and Boese, A.\n\n\n \n\n\n\n Medical Devices: Evidence and Research, 11: 77–85. March 2018.\n \n\n\n\n
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@article{friebe_-room_2018,\n\ttitle = {In-room ultrasound fusion combined with fully compatible {3D}-printed holding arm – rethinking interventional {MRI}},\n\tvolume = {11},\n\turl = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859896/},\n\tdoi = {10.2147/MDER.S150459},\n\tjournal = {Medical Devices: Evidence and Research},\n\tauthor = {Friebe, M. and Sanchez, J. and Balakrishnan, S. and Illanes, A. and Nagaraj, Y. and Odenbach, R. and Maatoq, M. and Krombach, G. and Vogele, M. and Boese, A.},\n\tmonth = mar,\n\tyear = {2018},\n\tpages = {77--85},\n}\n\n
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\n \n\n \n \n \n \n \n Innovation Generation, Disruption and Exponential Technologies in Medical Imaging.\n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In Maier, A.; Deserno, T.; Handels, H.; Maier-Hein, K.; Palm, C.; and Tolxdorff, T., editor(s), Bildverarbeitung für die Medizin 2018, pages 7–7. Springer Vieweg, Berlin, Heidelberg, February 2018.\n \n\n\n\n
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@incollection{friebe_innovation_2018,\n\ttitle = {Innovation {Generation}, {Disruption} and {Exponential} {Technologies} in {Medical} {Imaging}},\n\tisbn = {978-3-662-56536-0},\n\tbooktitle = {Bildverarbeitung für die {Medizin} 2018},\n\tpublisher = {Springer Vieweg, Berlin, Heidelberg},\n\tauthor = {Friebe, M.},\n\teditor = {Maier, A. and Deserno, T. and Handels, H. and Maier-Hein, K. and Palm, C. and Tolxdorff, T.},\n\tmonth = feb,\n\tyear = {2018},\n\tdoi = {10.1007/978-3-662-56537-7_7},\n\tpages = {7--7},\n}\n\n
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\n \n\n \n \n \n \n \n Anatomical Structure Segmentation in Ultrasound Volumes using Cross Frame Belief Propagating Iterative Random Walks.\n \n \n \n\n\n \n China, D.; Illanes, A.; Poudel, P.; Friebe, M.; Mitra, P.; and Sheet, D.\n\n\n \n\n\n\n IEEE journal of biomedical and health informatics, 23(3): 1–1. August 2018.\n \n\n\n\n
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@article{china_anatomical_2018,\n\ttitle = {Anatomical {Structure} {Segmentation} in {Ultrasound} {Volumes} using {Cross} {Frame} {Belief} {Propagating} {Iterative} {Random} {Walks}},\n\tvolume = {23},\n\tissn = {2168-2194},\n\tdoi = {10.1109/JBHI.2018.2864896},\n\tnumber = {3},\n\tjournal = {IEEE journal of biomedical and health informatics},\n\tauthor = {China, D. and Illanes, A. and Poudel, P. and Friebe, M. and Mitra, P. and Sheet, D.},\n\tmonth = aug,\n\tyear = {2018},\n\tpages = {1--1},\n}\n\n
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\n \n\n \n \n \n \n \n Automatic structure allocation of vascular patterns in endoscopic images of the vocal cords.\n \n \n \n\n\n \n Boese, A.; Illanes, A.; Balakrishnan, S.; Davaris, N.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. De Gruyter\n \n\n\n\n
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@inproceedings{boese_automatic_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Automatic structure allocation of vascular patterns in endoscopic images of the vocal cords},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s1},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tpublisher = {De Gruyter},\n\tauthor = {Boese, A. and Illanes, A. and Balakrishnan, S. and Davaris, N. and Arens, C. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Pulsation Detection with Acoustic Palpation for Robotic Surgery.\n \n \n \n\n\n \n Chen, C. H.; Sühn, T.; Illanes, A.; Maldonado, I.; Wex, C.; Croner, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Honolulu, USA, June 2018. \n \n\n\n\n
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@inproceedings{chen_pulsation_2018,\n\taddress = {Honolulu, USA},\n\ttitle = {Pulsation {Detection} with {Acoustic} {Palpation} for {Robotic} {Surgery}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Chen, C. H. and Sühn, T. and Illanes, A. and Maldonado, I. and Wex, C. and Croner, R. and Boese, A. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Setup and initial testing of an endoscope manipulator system for assistance in transoral endoscopic surgery.\n \n \n \n\n\n \n Boese, A.; Hündorf, P.; Arens, C.; Friedrich, D.; and Friebe, M.\n\n\n \n\n\n\n Biomedical Engineering / Biomedizinische Technik, 63. July 2018.\n \n\n\n\n
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@article{boese_setup_2018,\n\ttitle = {Setup and initial testing of an endoscope manipulator system for assistance in transoral endoscopic surgery},\n\tvolume = {63},\n\tissn = {1862-278X},\n\tdoi = {10.1515/bmt-2017-0109},\n\tjournal = {Biomedical Engineering / Biomedizinische Technik},\n\tauthor = {Boese, A. and Hündorf, P. and Arens, C. and Friedrich, D. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Classification of thyroid and non-thyroid regions in ultrasound images using Linear Discriminant Analysis.\n \n \n \n\n\n \n Ataide, E.; Poudel, P.; Illanes, A.; Kreißl, M.; and Friebe, M.\n\n\n \n\n\n\n In Biomedical Engineering / Biomedizinische Technik, volume 63, Aachen, Germany, September 2018. \n \n\n\n\n
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@inproceedings{ataide_classification_2018,\n\taddress = {Aachen, Germany},\n\ttitle = {Classification of thyroid and non-thyroid regions in ultrasound images using {Linear} {Discriminant} {Analysis}},\n\tvolume = {63},\n\tdoi = {10.1515/bmt-2018-toc63s},\n\tbooktitle = {Biomedical {Engineering} / {Biomedizinische} {Technik}},\n\tauthor = {Ataide, E. and Poudel, P. and Illanes, A. and Kreißl, M. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Assistive Scanning Brace for Improved 3D Tomographic Ultrasound Neck Scans.\n \n \n \n\n\n \n Ataide, E.; Ziegle, J.; Kalmar, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Honolulu, USA, July 2018. \n \n\n\n\n
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@inproceedings{ataide_assistive_2018,\n\taddress = {Honolulu, USA},\n\ttitle = {Assistive {Scanning} {Brace} for {Improved} {3D} {Tomographic} {Ultrasound} {Neck} {Scans}},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Ataide, E. and Ziegle, J. and Kalmar, M. and Boese, A. and Friebe, M.},\n\tmonth = jul,\n\tyear = {2018},\n}\n\n
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\n \n\n \n \n \n \n \n Flexible polymeric puncture needle for a nonlinear intervention path.\n \n \n \n\n\n \n AlMaatoq, M.; Chen, C. H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In International Journal of Computer Assisted Radiology and Surgery, volume 13, pages 198–199, Berlin, Germany, June 2018. \n \n\n\n\n
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@inproceedings{almaatoq_flexible_2018,\n\taddress = {Berlin, Germany},\n\ttitle = {Flexible polymeric puncture needle for a nonlinear intervention path},\n\tvolume = {13},\n\tdoi = {10.1007/s11548-018-1766-y},\n\tbooktitle = {International {Journal} of {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {AlMaatoq, M. and Chen, C. H. and Boese, A. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2018},\n\tpages = {198--199},\n}\n\n
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\n \n\n \n \n \n \n \n \n Comparison of thyroid segmentation techniques for 3D ultrasound.\n \n \n \n \n\n\n \n Wunderling, T.; Gollaa, B.; Poudel, P.; Arens, C.; Friebe, M.; and Hansen, C.\n\n\n \n\n\n\n In SPIE Medical Imaging, Orlando, Florida, United States, February 2017. International Society for Optics and Photonics\n \n\n\n\n
\n\n\n\n \n \n \"ComparisonPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{wunderling_comparison_2017,\n\taddress = {Orlando, Florida, United States},\n\ttitle = {Comparison of thyroid segmentation techniques for {3D} ultrasound},\n\turl = {http://isgwww.cs.uni-magdeburg.de/cas/pub/2017_Wunderling_SPIE_comparison-thyroid-segmentation-SPIE-submission.pdf},\n\tdoi = {10.1117/12.2254234},\n\tbooktitle = {{SPIE} {Medical} {Imaging}},\n\tpublisher = {International Society for Optics and Photonics},\n\tauthor = {Wunderling, T. and Gollaa, B. and Poudel, P. and Arens, C. and Friebe, M. and Hansen, C.},\n\tmonth = feb,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Tele-Diagnostics: How the Demographic Change influences in the Healthcare Services in Germany.\n \n \n \n\n\n \n Ziegle, J.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{ziegle_tele-diagnostics_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Tele-{Diagnostics}: {How} the {Demographic} {Change} influences in the {Healthcare} {Services} in {Germany}},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Ziegle, J.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Impedance based ultrasound probe tracking system for 3D peripheral vessel imaging.\n \n \n \n\n\n \n Ziegle, J.; Krug, J.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, pages S60–S63, Dresden, Germany, September 2017. \n \n\n\n\n
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@inproceedings{ziegle_impedance_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Impedance based ultrasound probe tracking system for {3D} peripheral vessel imaging},\n\tvolume = {62},\n\tdoi = {10.1515/bmt-2017-5016},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Ziegle, J. and Krug, J. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {S60--S63},\n}\n\n
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\n \n\n \n \n \n \n \n Initial results of optical and inertial sensor fusion as a tracking alternative for interventional procedures.\n \n \n \n\n\n \n Sühn, T.; Ziegle, J.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 29th International Conference of the Society for Medical Innovation and Technology, SMIT, Torino, Italy, November 2017. \n \n\n\n\n
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@inproceedings{suhn_initial_2017,\n\taddress = {Torino, Italy},\n\ttitle = {Initial results of optical and inertial sensor fusion as a tracking alternative for interventional procedures},\n\tbooktitle = {Abstract book of the 29th {International} {Conference} of the {Society} for {Medical} {Innovation} and {Technology}, {SMIT}},\n\tauthor = {Sühn, T. and Ziegle, J. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Filtering of ECG signals distorted by magnetic field gradients during MRI using non-linear filters and higher-order statistics.\n \n \n \n\n\n \n Schmidt, M.; Krug, J.; Rosenheimer, M. N; and Rose, G.\n\n\n \n\n\n\n Biomedical Engineering/Biomedizinische Technik. 2017.\n \n\n\n\n
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@article{schmidt_filtering_2017,\n\ttitle = {Filtering of {ECG} signals distorted by magnetic field gradients during {MRI} using non-linear filters and higher-order statistics},\n\tdoi = {10.1515/bmt-2016-0232},\n\tjournal = {Biomedical Engineering/Biomedizinische Technik},\n\tauthor = {Schmidt, Marcus and Krug, J. and Rosenheimer, Michael N and Rose, Georg},\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Prospects for Customized Medical Implant in the Field of Endoprosthetics.\n \n \n \n\n\n \n Sühn, T.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{suhn_prospects_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Prospects for {Customized} {Medical} {Implant} in the {Field} of {Endoprosthetics}},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Sühn, T.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n A novel automatic gauge detection algorithm for the performance test of a CT scanner with Catphan 600 phantom.\n \n \n \n \n\n\n \n Qiao, Z.; Illanes, A.; Abdurahman, S.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{qiao_novel_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {A novel automatic gauge detection algorithm for the performance test of a {CT} scanner with {Catphan} 600 phantom},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5068/bmt-2017-5068.xml?rskey=bqbmCy&result=2&q=A+novel+automatic+gauge+detection+algorithm+for+the+performance+test+of+a+CT+scanner+with+Catphan+600+phantom},\n\tdoi = {10.1515/bmt-2017-5068},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Qiao, Z. and Illanes, A. and Abdurahman, S. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Automatic determination of the two largest axes from the largest slice of thyroid in a 2D Ultrasound Dataset.\n \n \n \n\n\n \n Poudel, P.; Bhise, A.; Illanes, A.; Sheet, D.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 29th International Conference of the Society for Medical Innovation and Technology, SMIT, Torino, Italy, November 2017. \n \n\n\n\n
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@inproceedings{poudel_automatic_2017,\n\taddress = {Torino, Italy},\n\ttitle = {Automatic determination of the two largest axes from the largest slice of thyroid in a {2D} {Ultrasound} {Dataset}},\n\tbooktitle = {Abstract book of the 29th {International} {Conference} of the {Society} for {Medical} {Innovation} and {Technology}, {SMIT}},\n\tauthor = {Poudel, P. and Bhise, A. and Illanes, A. and Sheet, D. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Flexible and low-cost holding concept for interventional MRI.\n \n \n \n \n\n\n \n SanchezLopez, J.; Odenbach, R.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"FlexiblePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{sanchezlopez_flexible_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Flexible and low-cost holding concept for interventional {MRI}},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5025/bmt-2017-5025.xml?rskey=EzL1aG&result=2&q=Flexible+and+low-cost+holding+concept+for+interventional+MRI},\n\tdoi = {10.1515/bmt-2017-5025},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {SanchezLopez, J.S. and Odenbach, R. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Challenges and prospects of medical imaging and healthcare in Nepal in next decades.\n \n \n \n\n\n \n Poudel, P.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{poudel_challenges_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Challenges and prospects of medical imaging and healthcare in {Nepal} in next decades},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Poudel, P.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Ultrasound thyroid texture classification using a simple texture pattern characterization.\n \n \n \n \n\n\n \n Poudel, P.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"UltrasoundPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{poudel_ultrasound_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Ultrasound thyroid texture classification using a simple texture pattern characterization},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5022/bmt-2017-5022.xml?rskey=3JOULF&result=1&q=Ultrasound+thyroid+texture+classification+using+a+simple+texture+pattern+characterization},\n\tdoi = {10.1515/bmt-2017-5022},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Poudel, P. and Illanes, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Miniature CNT-based X-ray tube: Assessment for use in intraoperative radiation Therapy.\n \n \n \n\n\n \n Pashazadeh, A.; Illanes, A.; Johnson, F.; van Oepen, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 3(2): 643–646. September 2017.\n \n\n\n\n
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@article{pashazadeh_miniature_2017,\n\ttitle = {Miniature {CNT}-based {X}-ray tube: {Assessment} for use in intraoperative radiation {Therapy}},\n\tvolume = {3},\n\tdoi = {10.1515/cdbme-2017-0135},\n\tnumber = {2},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Pashazadeh, A. and Illanes, A. and Johnson, F. and van Oepen, A. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {643--646},\n}\n\n
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\n \n\n \n \n \n \n \n The German Healthcare System in 2040 - A glimpse into a healthy future.\n \n \n \n\n\n \n van Oepen, A.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{van_oepen_german_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {The {German} {Healthcare} {System} in 2040 - {A} glimpse into a healthy future},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {van Oepen, A.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Low-budget limited angle computed tomography device based on a miniaturized x-ray tube and stationary high-resolution flat panel detector.\n \n \n \n\n\n \n van Oepen, A.; Abdurahman, S.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2017 Computer Assisted Radiology and Surgery, Barcelona, Spain, June 2017. \n \n\n\n\n
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@inproceedings{van_oepen_low-budget_2017,\n\taddress = {Barcelona, Spain},\n\ttitle = {Low-budget limited angle computed tomography device based on a miniaturized x-ray tube and stationary high-resolution flat panel detector},\n\tbooktitle = {{CARS} 2017 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {van Oepen, A. and Abdurahman, S. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Active contours extension and similarity indicators for improved 3D segmentation of thyroid ultrasound images.\n \n \n \n \n\n\n \n Poudel, P.; Illanes, A.; Arens, C.; Hansen, C.; and Friebe, M.\n\n\n \n\n\n\n In SPIE Medical Imaging, Orlando, Florida, United States, February 2017. International Society for Optics and Photonics\n \n\n\n\n
\n\n\n\n \n \n \"ActivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{poudel_active_2017,\n\taddress = {Orlando, Florida, United States},\n\ttitle = {Active contours extension and similarity indicators for improved {3D} segmentation of thyroid ultrasound images},\n\turl = {http://isgwww.cs.uni-magdeburg.de/cas/pub/2017_Poudel_Active%20Contours%20Extension%20and%20Similarity%20Indicators.pdf},\n\tdoi = {http://dx.doi.org/10.1117/12.2254029},\n\tbooktitle = {{SPIE} {Medical} {Imaging}},\n\tpublisher = {International Society for Optics and Photonics},\n\tauthor = {Poudel, P. and Illanes, A. and Arens, C. and Hansen, C. and Friebe, M.},\n\tmonth = feb,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Will we shift from Patient inside the hospital to hospital beside the patient?.\n \n \n \n\n\n \n Pashazadeh, A.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{pashazadeh_will_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Will we shift from {Patient} inside the hospital to hospital beside the patient?},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Pashazadeh, A.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Minimally invasive tumor radiation with a miniaturized X-ray source and needle applicator.\n \n \n \n \n\n\n \n van Oepen, A.; Pashazadeh, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, pages S418, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"MinimallyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{van_oepen_minimally_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Minimally invasive tumor radiation with a miniaturized {X}-ray source and needle applicator},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5078/bmt-2017-5078.xml?format=INT},\n\tdoi = {10.1515/bmt-2017-5078},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {van Oepen, A. and Pashazadeh, A. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {S418},\n}\n\n
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\n \n\n \n \n \n \n \n Generatively manufactured flexible instrument guidance device and holding arm for MRI-guided interventions.\n \n \n \n\n\n \n Odenbach, R.; SanchezLopez, J.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 29th International Conference of the Society for Medical Innovation and Technology, SMIT, Torino, Italy, November 2017. \n \n\n\n\n
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@inproceedings{odenbach_generatively_2017,\n\taddress = {Torino, Italy},\n\ttitle = {Generatively manufactured flexible instrument guidance device and holding arm for {MRI}-guided interventions},\n\tbooktitle = {Abstract book of the 29th {International} {Conference} of the {Society} for {Medical} {Innovation} and {Technology}, {SMIT}},\n\tauthor = {Odenbach, R. and SanchezLopez, J. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n 3D-printed Z-frame marker for MRI-guided interventions.\n \n \n \n\n\n \n Odenbach, R.; Chen, Y.; Sengupta, S.; Webster, R.; Barth, E.; and Friebe, M.\n\n\n \n\n\n\n In 16. Jahrestagung der Deutschen Gesellschaft fuer Computer- und Roboterassistierte Chirurgie, Hannover, Germany, October 2017. \n \n\n\n\n
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@inproceedings{odenbach_3d-printed_2017,\n\taddress = {Hannover, Germany},\n\ttitle = {{3D}-printed {Z}-frame marker for {MRI}-guided interventions},\n\tisbn = {978-3-95900-158-8},\n\tbooktitle = {16. {Jahrestagung} der {Deutschen} {Gesellschaft} fuer {Computer}- und {Roboterassistierte} {Chirurgie}},\n\tauthor = {Odenbach, R. and Chen, Y. and Sengupta, S. and Webster, R. and Barth, E. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Mexico, a Healthcare Vision considering its Geographical Location 2030.\n \n \n \n\n\n \n Maldonado, I.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{maldonado_mexico_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Mexico, a {Healthcare} {Vision} considering its {Geographical} {Location} 2030},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Maldonado, I.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Characterization of a Carotid Distention Waveform from Audio Signals Acquired with a Stethoscope.\n \n \n \n\n\n \n Maldonado, I.; Illanes, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Comput Cardiol, Rennes, France, September 2017. \n \n\n\n\n
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@inproceedings{maldonado_characterization_2017,\n\taddress = {Rennes, France},\n\ttitle = {Characterization of a {Carotid} {Distention} {Waveform} from {Audio} {Signals} {Acquired} with a {Stethoscope}},\n\tbooktitle = {Proc {IEEE} {Comput} {Cardiol}},\n\tauthor = {Maldonado, I. and Illanes, A. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Interventional imaging system concept based on miniaturized X-ray tubes (FlexScan).\n \n \n \n\n\n \n Lagotzki, S.; Friebe, M.; and Boese, A.\n\n\n \n\n\n\n In IGIC 2017 : 3. Image-Guided Interventions Conference, Abstractband, Magdeburg, Germany, November 2017. \n \n\n\n\n
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@inproceedings{lagotzki_interventional_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Interventional imaging system concept based on miniaturized {X}-ray tubes ({FlexScan})},\n\tbooktitle = {{IGIC} 2017 : 3. {Image}-{Guided} {Interventions} {Conference}, {Abstractband}},\n\tauthor = {Lagotzki, S. and Friebe, M. and Boese, A.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Failure prevention and detection of superconductive MRI cooling systems using vibration sensors.\n \n \n \n\n\n \n Krug, J.; Beyer, J.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc ESMRMB, pages Abstract 611, Barcelona, Spain, October 2017. \n \n\n\n\n
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@inproceedings{krug_failure_2017,\n\taddress = {Barcelona, Spain},\n\ttitle = {Failure prevention and detection of superconductive {MRI} cooling systems using vibration sensors},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Krug, J. and Beyer, J. and Illanes, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {Abstract 611},\n}\n\n
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\n \n\n \n \n \n \n \n Susceptibility determination using a portable 0.55T small-bore MRI system.\n \n \n \n\n\n \n Krug, J.; Goerlitz, M.; and Friebe, M.\n\n\n \n\n\n\n In Proc ESMRMB, pages Abstract 608, Barcelona, Spain, October 2017. \n \n\n\n\n
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@inproceedings{krug_susceptibility_2017,\n\taddress = {Barcelona, Spain},\n\ttitle = {Susceptibility determination using a portable 0.{55T} small-bore {MRI} system},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Krug, J. and Goerlitz, M. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {Abstract 608},\n}\n\n
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\n \n\n \n \n \n \n \n \n Differentiating PPIX from its precursors as a strategy for drug-light interval assessment in photodynamic therapy.\n \n \n \n \n\n\n \n Landes, R.; Illanes, A.; van Oepen, A.; Goeppner, D.; Gollnick, H.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"DifferentiatingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{landes_differentiating_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Differentiating {PPIX} from its precursors as a strategy for drug-light interval assessment in photodynamic therapy},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5038/bmt-2017-5038.xml?rskey=FyoPUl&onlyResultQuery=Differentiating%20PPIX%20from%20its%20precursors%20as%20a%20strategy%20for%20drug-light%20interval%20assessment%20in%20photodynamic%20therapy},\n\tdoi = {10.1515/bmt-2017-5038},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Landes, R. and Illanes, A. and van Oepen, A. and Goeppner, D. and Gollnick, H. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n A Database of Electrocardiogram Signals Acquired in Different Magnetic Resonance Imaging Scanners.\n \n \n \n\n\n \n Krug, J.; Schmidt, M.; Rose, G.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Comput Cardiol, Rennes, France, September 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{krug_database_2017,\n\taddress = {Rennes, France},\n\ttitle = {A {Database} of {Electrocardiogram} {Signals} {Acquired} in {Different} {Magnetic} {Resonance} {Imaging} {Scanners}},\n\tbooktitle = {Proc {IEEE} {Comput} {Cardiol}},\n\tauthor = {Krug, J. and Schmidt, M. and Rose, G. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Position determination of biopsy needles in interventional MRI using spin echo images with inverted read out gradients.\n \n \n \n\n\n \n Krug, J.; Goerlitz, M.; and Friebe, M.\n\n\n \n\n\n\n In Proc ESMRMB, pages Abstract 609, Barcelona, Spain, October 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{krug_position_2017,\n\taddress = {Barcelona, Spain},\n\ttitle = {Position determination of biopsy needles in interventional {MRI} using spin echo images with inverted read out gradients},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Krug, J. and Goerlitz, M. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {Abstract 609},\n}\n\n
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\n \n\n \n \n \n \n \n Breast sentinel lymph node biopsy with imaging towards minimally invasive surgery.\n \n \n \n\n\n \n Johnson, F.; van Oepen, A.; and Friebe, M.\n\n\n \n\n\n\n Biomedical Engineering/Biomedizinische Technik. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{johnson_breast_2017,\n\ttitle = {Breast sentinel lymph node biopsy with imaging towards minimally invasive surgery},\n\tdoi = {10.1515/bmt-2016-0164},\n\tjournal = {Biomedical Engineering/Biomedizinische Technik},\n\tauthor = {Johnson, F. and van Oepen, A. and Friebe, M.},\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Air Bubble Removal using Catheter in TURBT.\n \n \n \n\n\n \n Johns, J.; Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 29th International Conference of the Society for Medical Innovation and Technology, SMIT, Torino, Italy, November 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{johns_air_2017,\n\taddress = {Torino, Italy},\n\ttitle = {Air {Bubble} {Removal} using {Catheter} in {TURBT}},\n\tbooktitle = {Abstract book of the 29th {International} {Conference} of the {Society} for {Medical} {Innovation} and {Technology}, {SMIT}},\n\tauthor = {Johns, J. and Fritzsche, H. and Boese, A. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Proximal Audio Measurement and Analysis - Information Enhancement for Interventional Device Guidance.\n \n \n \n\n\n \n Illanes, A.; Boese, A.; Maldonado, I.; Pashazadeh, A.; Schaufler, A.; and Friebe, M.\n\n\n \n\n\n\n In DMD Europe 2017 Microfabrication for medical devices, Eindhoven, Germany, November 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_proximal_2017,\n\taddress = {Eindhoven, Germany},\n\ttitle = {Proximal {Audio} {Measurement} and {Analysis} - {Information} {Enhancement} for {Interventional} {Device} {Guidance}},\n\tbooktitle = {{DMD} {Europe} 2017 {Microfabrication} for medical devices},\n\tauthor = {Illanes, A. and Boese, A. and Maldonado, I. and Pashazadeh, A. and Schaufler, A. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Towards an automatization of the ASTM-F2119 standard for MRI compatible needle artefact assessment.\n \n \n \n\n\n \n Illanes, A.; Krug, J.; and Friebe, M.\n\n\n \n\n\n\n In Proc ESMRMB, Barcelona, Spain, October 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_towards_2017,\n\taddress = {Barcelona, Spain},\n\ttitle = {Towards an automatization of the {ASTM}-{F2119} standard for {MRI} compatible needle artefact assessment},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Illanes, A. and Krug, J. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Technical approaches to avoid air bubbles for improved patient safety during TURB.\n \n \n \n \n\n\n \n Johns, J.; Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, pages S105, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"TechnicalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{johns_technical_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Technical approaches to avoid air bubbles for improved patient safety during {TURB}},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5025/bmt-2017-5025.xml?format=INT},\n\tdoi = {10.1515/bmt-2017-5025},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Johns, J. and Fritzsche, H. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {S105},\n}\n\n
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\n \n\n \n \n \n \n \n \n A novel algorithm for efficient detection and segmentation of metals for artefact reduction in computed tomography.\n \n \n \n \n\n\n \n Illanes, A.; Abdurahman, S.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_novel_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {A novel algorithm for efficient detection and segmentation of metals for artefact reduction in computed tomography},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5066/bmt-2017-5066.xml?rskey=Hz3LEL&result=7&q=Interventional+limited+angle+CT+concept},\n\tdoi = {10.1515/bmt-2017-5066},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Illanes, A. and Abdurahman, S. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Interventional limited angle CT concept.\n \n \n \n \n\n\n \n Iftikhar, M.; Abdurahman, S.; Odenbach, R.; van Oepen, A.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"InterventionalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{iftikhar_interventional_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Interventional limited angle {CT} concept},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5066/bmt-2017-5066.xml?rskey=Hz3LEL&result=7&q=Interventional+limited+angle+CT+concept},\n\tdoi = {10.1515/bmt-2017-5066},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Iftikhar, M. and Abdurahman, S. and Odenbach, R. and van Oepen, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Time-varying Acoustic Emission Characterization for Guidewire Coronary Artery Perforation Identification.\n \n \n \n\n\n \n Illanes, A.; Schaufler, A.; Maldonado, I.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Comput Cardiol, Rennes, France, September 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_time-varying_2017,\n\taddress = {Rennes, France},\n\ttitle = {Time-varying {Acoustic} {Emission} {Characterization} for {Guidewire} {Coronary} {Artery} {Perforation} {Identification}},\n\tbooktitle = {Proc {IEEE} {Comput} {Cardiol}},\n\tauthor = {Illanes, A. and Schaufler, A. and Maldonado, I. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Empirical mode decomposition and time varying modelling for carotid audio signal analysis.\n \n \n \n \n\n\n \n Illanes, A.; Maldonado, I.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, pages S361, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"EmpiricalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{illanes_empirical_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Empirical mode decomposition and time varying modelling for carotid audio signal analysis},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5090/bmt-2017-5090.xml?format=INT},\n\tdoi = {10.1515/bmt-2017-5070},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Illanes, A. and Maldonado, I. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {S361},\n}\n\n
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\n \n\n \n \n \n \n \n \n Cyclostationary Analysis of ECG Signals Acquired Inside an Ultra-High Field MRI Scanner.\n \n \n \n \n\n\n \n Haritopoulos, M.; Krug, J.; Illanes, A.; Friebe, M.; and Nandi, A.\n\n\n \n\n\n\n In Proc EUSIPCO, Kos, Greece, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"CyclostationaryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{haritopoulos_cyclostationary_2017,\n\taddress = {Kos, Greece},\n\ttitle = {Cyclostationary {Analysis} of {ECG} {Signals} {Acquired} {Inside} an {Ultra}-{High} {Field} {MRI} {Scanner}},\n\turl = {http://ieeexplore.ieee.org/document/8081418/?reload=true},\n\tdoi = {10.23919/EUSIPCO.2017.8081418},\n\tbooktitle = {Proc {EUSIPCO}},\n\tauthor = {Haritopoulos, M. and Krug, J. and Illanes, A. and Friebe, M. and Nandi, A.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Analysis of the foetal heart rate in cardiotocographic recordings through a progressive characterization of decelerations.\n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; and Ortmeier, F.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 3(2): 423–427. September 2017.\n \n\n\n\n
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@article{fuentealba_analysis_2017,\n\ttitle = {Analysis of the foetal heart rate in cardiotocographic recordings through a progressive characterization of decelerations},\n\tvolume = {3},\n\tdoi = {10.1515/cdbme-2017-0089},\n\tnumber = {2},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fuentealba, P. and Illanes, A. and Ortmeier, F.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {423--427},\n}\n\n
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\n \n\n \n \n \n \n \n Progressive Fetal Distress Estimation by Characterization of Fetal Heart Rate Decelerations Response Based on Signal Variability in Cardiotocographic Recordings.\n \n \n \n\n\n \n Fuentealba, P.; Illanes, A.; and Ortmeier, F.\n\n\n \n\n\n\n In Proc IEEE Comput Cardiol, Rennes, France, September 2017. \n \n\n\n\n
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@inproceedings{fuentealba_progressive_2017,\n\taddress = {Rennes, France},\n\ttitle = {Progressive {Fetal} {Distress} {Estimation} by {Characterization} of {Fetal} {Heart} {Rate} {Decelerations} {Response} {Based} on {Signal} {Variability} in {Cardiotocographic} {Recordings}},\n\tbooktitle = {Proc {IEEE} {Comput} {Cardiol}},\n\tauthor = {Fuentealba, P. and Illanes, A. and Ortmeier, F.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n INNOLAB - Image guided surgery and therapy lab - Run by engineers at a university hospital for interdisciplinary and useful innovation with clinicians.\n \n \n \n \n\n\n \n Fritzsche, H.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 3(2): 235–237. September 2017.\n \n\n\n\n
\n\n\n\n \n \n \"INNOLABPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{fritzsche_innolab_2017,\n\ttitle = {{INNOLAB} - {Image} guided surgery and therapy lab - {Run} by engineers at a university hospital for interdisciplinary and useful innovation with clinicians},\n\tvolume = {3},\n\turl = {https://www.degruyter.com/view/j/cdbme.2017.3.issue-2/cdbme-2017-0049/cdbme-2017-0049.xml?rskey=CTOdBd&result=1},\n\tdoi = {10.1515/cdbme-2017-0049},\n\tnumber = {2},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fritzsche, H. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {235--237},\n}\n\n
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\n \n\n \n \n \n \n \n Technology Innovations in Therapy and Imaging (T2I2):International Graduate School for Biodesign and Entrepreneurship.\n \n \n \n\n\n \n Fritzsche, H.; Ataide, E.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 29th International Conference of the Society for Medical Innovation and Technology, SMIT, Torino, Italy, November 2017. \n \n\n\n\n
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@inproceedings{fritzsche_technology_2017,\n\taddress = {Torino, Italy},\n\ttitle = {Technology {Innovations} in {Therapy} and {Imaging} ({T2I2}):{International} {Graduate} {School} for {Biodesign} and {Entrepreneurship}},\n\tbooktitle = {Abstract book of the 29th {International} {Conference} of the {Society} for {Medical} {Innovation} and {Technology}, {SMIT}},\n\tauthor = {Fritzsche, H. and Ataide, E. and Boese, A. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Digital translation of processes, organization and businesses in future healthcare.\n \n \n \n\n\n \n Fritzsche, H.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{fritzsche_digital_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Digital translation of processes, organization and businesses in future healthcare},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Fritzsche, H.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Approaches for entrepreneurial thinking for the healthcare sector at the Otto-von-Guericke-University Magdeburg.\n \n \n \n\n\n \n Fritzsche, H.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{fritzsche_approaches_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Approaches for entrepreneurial thinking for the healthcare sector at the {Otto}-von-{Guericke}-{University} {Magdeburg}},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Fritzsche, H.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Rethinking interventional MRI - is Ultrasound guidance the solution?.\n \n \n \n\n\n \n Friebe, M.; Odenbach, R.; Balakrishnan, S.; Poudel, P.; Fritzsche, H.; AlMaatoq, M.; Illanes, A.; SanchezLopez, J.; Krug, J.; and Boese, A.\n\n\n \n\n\n\n In IGIC 2017 : 3. Image-Guided Interventions Conference, Abstractband, Magdeburg, Germany, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{friebe_rethinking_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Rethinking interventional {MRI} - is {Ultrasound} guidance the solution?},\n\tbooktitle = {{IGIC} 2017 : 3. {Image}-{Guided} {Interventions} {Conference}, {Abstractband}},\n\tauthor = {Friebe, M. and Odenbach, R. and Balakrishnan, S. and Poudel, P. and Fritzsche, H. and AlMaatoq, M. and Illanes, A. and SanchezLopez, J. and Krug, J. and Boese, A.},\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n International Healthcare Vision 2037 : new technologies, educational goals and entrepreneurial challenges ; proceedings + summary of the 5th BME-IDEA EU Conference.\n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n OVGU Magdeburg, 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{friebe_international_2017,\n\ttitle = {International {Healthcare} {Vision} 2037 : new technologies, educational goals and entrepreneurial challenges ; proceedings + summary of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tpublisher = {OVGU Magdeburg},\n\tauthor = {Friebe, M.},\n\tyear = {2017},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n}\n\n
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\n \n\n \n \n \n \n \n Exponential Technologies + Reverse Innovation = Solution for Future Healthcare Issues? What Does It Mean for University Education and Entrepreneurial Opportunities?.\n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n Open Journal of Business and Management, 5(3): 458–469. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{friebe_exponential_2017,\n\ttitle = {Exponential {Technologies} + {Reverse} {Innovation} = {Solution} for {Future} {Healthcare} {Issues}? {What} {Does} {It} {Mean} for {University} {Education} and {Entrepreneurial} {Opportunities}?},\n\tvolume = {5},\n\tdoi = {10.4236/ojbm.2017.53039},\n\tnumber = {3},\n\tjournal = {Open Journal of Business and Management},\n\tauthor = {Friebe, M.},\n\tyear = {2017},\n\tpages = {458--469},\n}\n\n
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\n \n\n \n \n \n \n \n \n Healthcare Translation and Entrepreneurial Training in and for Egypt – Case Study and Potential Impact Analysis.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n Open Journal of Business and Management, 5: 51–62. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"HealthcarePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{friebe_healthcare_2017,\n\ttitle = {Healthcare {Translation} and {Entrepreneurial} {Training} in and for {Egypt} – {Case} {Study} and {Potential} {Impact} {Analysis}},\n\tvolume = {5},\n\turl = {http://www.scirp.org/journal/PaperInformation.aspx?PaperID=72820},\n\tdoi = {10.4236/ojbm.2017.51005},\n\tjournal = {Open Journal of Business and Management},\n\tauthor = {Friebe, M.},\n\tyear = {2017},\n\tpages = {51--62},\n}\n\n
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\n \n\n \n \n \n \n \n Evaluation of a small and low cost camera system and light source for endoscopy.\n \n \n \n\n\n \n Boese, A.; Sivankutty, A.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 29th International Conference of the Society for Medical Innovation and Technology, SMIT, Torino, Italy, November 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boese_evaluation_2017,\n\taddress = {Torino, Italy},\n\ttitle = {Evaluation of a small and low cost camera system and light source for endoscopy},\n\tbooktitle = {Abstract book of the 29th {International} {Conference} of the {Society} for {Medical} {Innovation} and {Technology}, {SMIT}},\n\tauthor = {Boese, A. and Sivankutty, A. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Can vascular endoscopy combined with narrow band imaging improve diagnostic.\n \n \n \n \n\n\n \n Boese, A.; Sivankutty, A.; and Friebe, M.\n\n\n \n\n\n\n Interventional Neuroradiology, 23(1 (Suppl)): 60–335. October 2017.\n \n\n\n\n
\n\n\n\n \n \n \"CanPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{boese_can_2017,\n\ttitle = {Can vascular endoscopy combined with narrow band imaging improve diagnostic},\n\tvolume = {23},\n\tissn = {1591-0199},\n\turl = {https://doi.org/10.1177/1591019917727410},\n\tdoi = {10.1177/1591019917727410},\n\tlanguage = {en},\n\tnumber = {1 (Suppl)},\n\turldate = {2017-10-17},\n\tjournal = {Interventional Neuroradiology},\n\tauthor = {Boese, A. and Sivankutty, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {60--335},\n}\n\n
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\n \n\n \n \n \n \n \n \n SMARTSCOPE - portable, easy to use and cheap smartphone endoscopic system.\n \n \n \n \n\n\n \n Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, pages 115, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"SMARTSCOPEPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{boese_smartscope_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {{SMARTSCOPE} - portable, easy to use and cheap smartphone endoscopic system},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5026/bmt-2017-5026.xml?format=INT},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {115},\n}\n\n
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\n \n\n \n \n \n \n \n \n Intravascular endoscopy improvement through narrow-band imaging.\n \n \n \n \n\n\n \n Boese, A.; Sivankutty, A.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n International Journal of Computer Assisted Radiology and Surgery, 12(11): 2015–2021. November 2017.\n \n\n\n\n
\n\n\n\n \n \n \"IntravascularPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{boese_intravascular_2017,\n\ttitle = {Intravascular endoscopy improvement through narrow-band imaging},\n\tvolume = {12},\n\tissn = {1861-6410, 1861-6429},\n\turl = {https://link.springer.com/article/10.1007/s11548-017-1579-4},\n\tdoi = {10.1007/s11548-017-1579-4},\n\tabstract = {Recent advances in endoscopy have led to new technologies with significant optical imaging improvements. Since its development a few years ago, narrow-band imaging (NBI) has already been proved useful},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2017-04-03},\n\tjournal = {International Journal of Computer Assisted Radiology and Surgery},\n\tauthor = {Boese, Axel and Sivankutty, A.K. and Illanes, Alfredo and Friebe, Michael},\n\tmonth = nov,\n\tyear = {2017},\n\tpages = {2015--2021},\n}\n\n
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\n Recent advances in endoscopy have led to new technologies with significant optical imaging improvements. Since its development a few years ago, narrow-band imaging (NBI) has already been proved useful\n
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\n \n\n \n \n \n \n \n \n Evaluation and image quality comparison of ultra-thin fibre endoscopes for vascular endoscopy.\n \n \n \n \n\n\n \n Boese, A.; Sivankutty, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 3(2): 231–233. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@article{boese_evaluation_2017-1,\n\ttitle = {Evaluation and image quality comparison of ultra-thin fibre endoscopes for vascular endoscopy},\n\tvolume = {3},\n\turl = {https://www.degruyter.com/view/j/cdbme.2017.3.issue-2/cdbme-2017-0048/cdbme-2017-0048.xml},\n\tdoi = {10.1515/cdbme-2017-0048},\n\tnumber = {2},\n\turldate = {2017-09-08},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, A. and Sivankutty, A. and Friebe, M.},\n\tyear = {2017},\n\tkeywords = {Fibre endoscope, image quality comparison, vascular endoscopy},\n\tpages = {231--233},\n}\n\n
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\n \n\n \n \n \n \n \n Trans-oral miniature X-ray radiation delivery system with endoscopic optical feedback.\n \n \n \n\n\n \n Boese, A.; Johnson, F.; Ebert, T.; Pashazadeh, A.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n Int J Comput Assist Radiol Surg, 12(11): 1995–2002. November 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{boese_trans-oral_2017,\n\ttitle = {Trans-oral miniature {X}-ray radiation delivery system with endoscopic optical feedback},\n\tvolume = {12},\n\tdoi = {10.1007/s11548-017-1601-x},\n\tnumber = {11},\n\tjournal = {Int J Comput Assist Radiol Surg},\n\tauthor = {Boese, A. and Johnson, F. and Ebert, T. and Pashazadeh, A. and Arens, C. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n\tpages = {1995--2002},\n}\n\n
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\n \n\n \n \n \n \n \n Intravascular Endoscopy Improvement through Narrow Band Imaging.\n \n \n \n\n\n \n Boese, A.; Sivankutty, A.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2017 Computer Assisted Radiology and Surgery, Barcelona, Spain, June 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boese_intravascular_2017-1,\n\taddress = {Barcelona, Spain},\n\ttitle = {Intravascular {Endoscopy} {Improvement} through {Narrow} {Band} {Imaging}},\n\tbooktitle = {{CARS} 2017 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Boese, A. and Sivankutty, A.K. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Trans-oral miniature X-ray radiation delivery system with endoscopic optical feedback.\n \n \n \n\n\n \n Boese, A.; Johnson, F.; Ebert, T.; Pashazadeh, A.; Arens, C.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2017 Computer Assisted Radiology and Surgery, Barcelona, Spain, June 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boese_trans-oral_2017-1,\n\taddress = {Barcelona, Spain},\n\ttitle = {Trans-oral miniature {X}-ray radiation delivery system with endoscopic optical feedback},\n\tbooktitle = {{CARS} 2017 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Boese, A. and Johnson, F. and Ebert, T. and Pashazadeh, A. and Arens, C. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Monitoring the Coldhead of Magnetic Resonance Imaging Systems by Means of Vibration Analysis.\n \n \n \n \n\n\n \n Beyer, J.; Krug, J.; and Friebe, M.\n\n\n \n\n\n\n Journal of Sensor Technology, 7(3): 39–51. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"MonitoringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{beyer_monitoring_2017,\n\ttitle = {Monitoring the {Coldhead} of {Magnetic} {Resonance} {Imaging} {Systems} by {Means} of {Vibration} {Analysis}},\n\tvolume = {7},\n\turl = {http://www.scirp.org/Journal/PaperInformation.aspx?PaperID=80245},\n\tdoi = {10.4236/jst.2017.73003},\n\tnumber = {3},\n\tjournal = {Journal of Sensor Technology},\n\tauthor = {Beyer, J. and Krug, J. and Friebe, M.},\n\tyear = {2017},\n\tpages = {39--51},\n}\n\n
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\n \n\n \n \n \n \n \n \n Real time MRI/US fusion using inside-out tracking for interventional procedures and guidance.\n \n \n \n \n\n\n \n Balakrishnan, S.; Illanes, A.; Poudel, P.; Nagaraj, Y.; Menze, B.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"RealPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{balakrishnan_real_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Real time {MRI}/{US} fusion using inside-out tracking for interventional procedures and guidance},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5025/bmt-2017-5025.xml},\n\tdoi = {10.1515/bmt-2017-5025},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Balakrishnan, S. and Illanes, A. and Poudel, P. and Nagaraj, Y. and Menze, B. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Telemedicine: An efficient Healthcare solution for India.\n \n \n \n\n\n \n Ataide, E.\n\n\n \n\n\n\n In International Healthcare Vision 2037. New Technologies, Educational Goals and Entrepreneurial Challenges - Proceedings + Summary of the 5th BME-IDEA EU Conference, Magdeburg, Germany, June 2017. \n \n\n\n\n
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@inproceedings{ataide_telemedicine_2017,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Telemedicine: {An} efficient {Healthcare} solution for {India}},\n\tdoi = {10.24352/UB.OVGU-2017-076},\n\tbooktitle = {International {Healthcare} {Vision} 2037. {New} {Technologies}, {Educational} {Goals} and {Entrepreneurial} {Challenges} - {Proceedings} + {Summary} of the 5th {BME}-{IDEA} {EU} {Conference}},\n\tauthor = {Ataide, E.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Real-time MRI/US fusion using inside-out tracking of virtually generated markers (ORtoMVM) for hepatic interventional procedures.\n \n \n \n\n\n \n Balakrishnan, S.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2017 Computer Assisted Radiology and Surgery, Barcelona, Spain, June 2017. \n \n\n\n\n
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@inproceedings{balakrishnan_real-time_2017,\n\taddress = {Barcelona, Spain},\n\ttitle = {Real-time {MRI}/{US} fusion using inside-out tracking of virtually generated markers ({ORtoMVM}) for hepatic interventional procedures},\n\tbooktitle = {{CARS} 2017 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Balakrishnan, S. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Objective Measurement of Hip Implant Parameters by Automatic Feature Extraction from Planar Femoral X-Rays.\n \n \n \n\n\n \n Ataide, E.; Sühn, T.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 29th International Conference of the Society for Medical Innovation and Technology, SMIT, Torino, Italy, November 2017. \n \n\n\n\n
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@inproceedings{ataide_objective_2017,\n\taddress = {Torino, Italy},\n\ttitle = {Objective {Measurement} of {Hip} {Implant} {Parameters} by {Automatic} {Feature} {Extraction} from {Planar} {Femoral} {X}-{Rays}},\n\tbooktitle = {Abstract book of the 29th {International} {Conference} of the {Society} for {Medical} {Innovation} and {Technology}, {SMIT}},\n\tauthor = {Ataide, E. and Sühn, T. and Friebe, M.},\n\tmonth = nov,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Concept of a multilayer biopsy needle for magnetic resonance imaging interventions.\n \n \n \n \n\n\n \n AlMaatoq, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 51st annual conference of the German Society for Biomedical Engineering, volume 62, pages S349–S355, Dresden, Germany, September 2017. \n \n\n\n\n
\n\n\n\n \n \n \"ConceptPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{almaatoq_concept_2017,\n\taddress = {Dresden, Germany},\n\ttitle = {Concept of a multilayer biopsy needle for magnetic resonance imaging interventions},\n\tvolume = {62},\n\turl = {https://www.degruyter.com/view/j/bmte.2017.62.issue-s1/bmt-2017-5069/bmt-2017-5069.xml},\n\tdoi = {10.1515/bmt-2017-5069},\n\tbooktitle = {Book of abstracts 51st annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {AlMaatoq, M. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {S349--S355},\n}\n\n
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\n \n\n \n \n \n \n \n A four-electrode radiofrequency ablation system designed for more complex and tumor specific ablation patterns.\n \n \n \n\n\n \n Ali, G.; Krug, J.; and Friebe, M.\n\n\n \n\n\n\n In Proc BioSpine 2017, 6th International Congress on Biotechnologies for Spinal Surgery, Berlin, Germany, April 2017. \n \n\n\n\n
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@inproceedings{ali_four-electrode_2017,\n\taddress = {Berlin, Germany},\n\ttitle = {A four-electrode radiofrequency ablation system designed for more complex and tumor specific ablation patterns},\n\tbooktitle = {Proc {BioSpine} 2017, 6th {International} {Congress} on {Biotechnologies} for {Spinal} {Surgery}},\n\tauthor = {Ali, G. and Krug, J.W. and Friebe, M.},\n\tmonth = apr,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Strahlaufhärtungskorrektur mithilfe von Grangeat-Konsistenzbedingungen für Kegelstrahl-CT.\n \n \n \n\n\n \n Abdurahman, S.; Frysch, R.; Bismark, R.; Friebe, M.; Beuing, O.; and Rose, G.\n\n\n \n\n\n\n In 52. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie e.V., Köln, Deutschland, October 2017. \n \n\n\n\n
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@inproceedings{abdurahman_strahlaufhartungskorrektur_2017,\n\taddress = {Köln, Deutschland},\n\ttitle = {Strahlaufhärtungskorrektur mithilfe von {Grangeat}-{Konsistenzbedingungen} für {Kegelstrahl}-{CT}},\n\tbooktitle = {52. {Jahrestagung} der {Deutschen} {Gesellschaft} für {Neuroradiologie} e.{V}.},\n\tauthor = {Abdurahman, S. and Frysch, R. and Bismark, R. and Friebe, M. and Beuing, O. and Rose, G.},\n\tmonth = oct,\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n Beam hardening correction for bi-material objects using Grangeat-based consistency measure.\n \n \n \n\n\n \n Abdurahman, S.; Frysch, R.; Bismark, R.; Friebe, M.; Beuing, O.; and Rose, G.\n\n\n \n\n\n\n In Proc IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Atlanta, USA, October 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{abdurahman_beam_2017,\n\taddress = {Atlanta, USA},\n\ttitle = {Beam hardening correction for bi-material objects using {Grangeat}-based consistency measure},\n\tbooktitle = {Proc {IEEE} {Nuclear} {Science} {Symposium} and {Medical} {Imaging} {Conference} ({NSS}/{MIC})},\n\tauthor = {Abdurahman, S. and Frysch, R. and Bismark, R. and Friebe, M. and Beuing, O. and Rose, G.},\n\tmonth = oct,\n\tyear = {2017},\n}\n\n
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\n  \n 2016\n \n \n (39)\n \n \n
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\n \n\n \n \n \n \n \n SIRT and Its Unresolved Problems – Is Imaging the Solution? A Review.\n \n \n \n\n\n \n Schulz, F.; and Friebe, M.\n\n\n \n\n\n\n Journal of Cancer Therapy, 7(7): 505–518. 2016.\n \n\n\n\n
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@article{schulz_sirt_2016,\n\ttitle = {{SIRT} and {Its} {Unresolved} {Problems} – {Is} {Imaging} the {Solution}? {A} {Review}},\n\tvolume = {7},\n\tnumber = {7},\n\tjournal = {Journal of Cancer Therapy},\n\tauthor = {Schulz, Franziska and Friebe, Michael},\n\tyear = {2016},\n\tpages = {505--518},\n}\n\n
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\n \n\n \n \n \n \n \n Real-time QRS detection using integrated variance for ECG gated cardiac MRI.\n \n \n \n\n\n \n Schmidt, M.; Krug, J.; and Rose, G.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 255–258. September 2016.\n \n\n\n\n
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@article{schmidt_real-time_2016,\n\ttitle = {Real-time {QRS} detection using integrated variance for {ECG} gated cardiac {MRI}},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0057},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Schmidt, M. and Krug, J. and Rose, G.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {255--258},\n}\n\n
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\n \n\n \n \n \n \n \n Intraoperative delivery of cell-killing boost radiation–a review of current and future methods.\n \n \n \n\n\n \n Stoll, A.; van Oepen, A.; and Friebe, M.\n\n\n \n\n\n\n Minimally Invasive Therapy & Allied Technologies,1–12. 2016.\n \n\n\n\n
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@article{stoll_intraoperative_2016,\n\ttitle = {Intraoperative delivery of cell-killing boost radiation–a review of current and future methods},\n\tjournal = {Minimally Invasive Therapy \\& Allied Technologies},\n\tauthor = {Stoll, Anke and van Oepen, Alexander and Friebe, Michael},\n\tyear = {2016},\n\tpages = {1--12},\n}\n\n
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\n \n\n \n \n \n \n \n Reducing of gradient induced artifacts on the ECG signal during MRI examinations using Wilcoxon filter.\n \n \n \n\n\n \n Schmidt, M.; Krug, J.; and Rose, G.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 175–178. September 2016.\n \n\n\n\n
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@article{schmidt_reducing_2016,\n\ttitle = {Reducing of gradient induced artifacts on the {ECG} signal during {MRI} examinations using {Wilcoxon} filter},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0040},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Schmidt, M. and Krug, J. and Rose, G.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {175--178},\n}\n\n
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\n \n\n \n \n \n \n \n 3D segmentation of Thyroid Ultrasound Imagesusing Active Contours.\n \n \n \n\n\n \n Poudel, P.; Hansen, C.; Sprung, J.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 467–470. September 2016.\n \n\n\n\n
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@article{poudel_3d_2016,\n\ttitle = {{3D} segmentation of {Thyroid} {Ultrasound} {Imagesusing} {Active} {Contours}},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0103},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Poudel, P. and Hansen, C. and Sprung, J. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {467--470},\n}\n\n
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\n \n\n \n \n \n \n \n Imaging of 188Re filled double-balloon for beta radiation therapy with handheld, tracked gamma camera/ultrasound hybrid - a feasibility trial.\n \n \n \n\n\n \n van Oepen, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2016 Computer Assisted Radiology and Surgery, Heidelberg, June 2016. \n \n\n\n\n
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@inproceedings{van_oepen_imaging_2016,\n\taddress = {Heidelberg},\n\ttitle = {Imaging of {188Re} filled double-balloon for beta radiation therapy with handheld, tracked gamma camera/ultrasound hybrid - a feasibility trial},\n\tbooktitle = {{CARS} 2016 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {van Oepen, A. and Boese, A. and Friebe, M.},\n\tmonth = jun,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Radionuclide based intraoperative irradiation - current and future approaches.\n \n \n \n\n\n \n van Oepen, A.\n\n\n \n\n\n\n In International Conference on Nuclear Medicine and Radiation Therapy, Cologne, Germany, July 2016. \n \n\n\n\n
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@inproceedings{van_oepen_radionuclide_2016,\n\taddress = {Cologne, Germany},\n\ttitle = {Radionuclide based intraoperative irradiation - current and future approaches},\n\tbooktitle = {International {Conference} on {Nuclear} {Medicine} and {Radiation} {Therapy}},\n\tauthor = {van Oepen, A.},\n\tmonth = jul,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Generatively manufactured, passive and safe MRI-marker.\n \n \n \n\n\n \n Odenbach, R.; Grundmann, M.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In 11th Interventional MRI Symposium, Baltimore, USA, October 2016. \n \n\n\n\n
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@inproceedings{odenbach_generatively_2016,\n\taddress = {Baltimore, USA},\n\ttitle = {Generatively manufactured, passive and safe {MRI}-marker},\n\tbooktitle = {11th {Interventional} {MRI} {Symposium}},\n\tauthor = {Odenbach, R. and Grundmann, M. and Boese, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Interactive monitoring system for visual respiratory biofeedback.\n \n \n \n\n\n \n Odenbach, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 723–726. September 2016.\n \n\n\n\n
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@article{odenbach_interactive_2016,\n\ttitle = {Interactive monitoring system for visual respiratory biofeedback},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0157},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Odenbach, R. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {723--726},\n}\n\n
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\n \n\n \n \n \n \n \n Advanced Inside-Out tracking approach for real-time combination of MRI and US images in the radio-frequency shielded room using combination markers.\n \n \n \n\n\n \n Nagaraj, Y.; Benedicks, C.; Matthies, P.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Orlando, USA, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{nagaraj_advanced_2016,\n\taddress = {Orlando, USA},\n\ttitle = {Advanced {Inside}-{Out} tracking approach for real-time combination of {MRI} and {US} images in the radio-frequency shielded room using combination markers},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Nagaraj, Y. and Benedicks, C. and Matthies, P. and Friebe, M.},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Evaluation of Novel Inside-Out approach for single slice US/MRI fusion procedure in MRI suite.\n \n \n \n\n\n \n Nagaraj, Y.; Menze, B.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 28th International Conference of the Society for MedicaL Innovation and Technology, SMIT 2016, Delft, The Netherlands, October 2016. \n \n\n\n\n
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@inproceedings{nagaraj_evaluation_2016,\n\taddress = {Delft, The Netherlands},\n\ttitle = {Evaluation of {Novel} {Inside}-{Out} approach for single slice {US}/{MRI} fusion procedure in {MRI} suite},\n\tbooktitle = {Abstract book of the 28th {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2016},\n\tauthor = {Nagaraj, Yeshaswini and Menze, Bjoern and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n MRI-safe and remote-controlled micro-positionable instrument guidance device for image guided interventions.\n \n \n \n\n\n \n Odenbach, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 28th International Conference of the Society for MedicaL Innovation and Technology, SMIT 2016, Delft, The Netherlands, October 2016. \n \n\n\n\n
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@inproceedings{odenbach_mri-safe_2016,\n\taddress = {Delft, The Netherlands},\n\ttitle = {{MRI}-safe and remote-controlled micro-positionable instrument guidance device for image guided interventions},\n\tbooktitle = {Abstract book of the 28th {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2016},\n\tauthor = {Odenbach, Robert and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n US/MRI Fusion with new optical tracking and marker approach for interventional procedures inside the MRI suite.\n \n \n \n\n\n \n Nagaraj, Y.; Menze, B.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 459–462. September 2016.\n \n\n\n\n
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@article{nagaraj_usmri_2016,\n\ttitle = {{US}/{MRI} {Fusion} with new optical tracking and marker approach for interventional procedures inside the {MRI} suite},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0101},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Nagaraj, Y. and Menze, B. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {459--462},\n}\n\n
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\n \n\n \n \n \n \n \n Contactless respiratory monitoring system for magnetic resonance imaging applications using a laser range sensor.\n \n \n \n\n\n \n Krug, J.; Odenbach, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 719–722. September 2016.\n \n\n\n\n
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@article{krug_contactless_2016,\n\ttitle = {Contactless respiratory monitoring system for magnetic resonance imaging applications using a laser range sensor},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0156},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Krug, J.W. and Odenbach, R. and Boese, A. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {719--722},\n}\n\n
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\n \n\n \n \n \n \n \n Quick and easy: iMRI procedure improvement using non-registered portable US.\n \n \n \n\n\n \n Krug, J.; Boese, A.; Odenbach, R.; and Friebe, M.\n\n\n \n\n\n\n In 11th Interventional MRI Symposium, Baltimore, USA, October 2016. \n \n\n\n\n
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@inproceedings{krug_quick_2016,\n\taddress = {Baltimore, USA},\n\ttitle = {Quick and easy: {iMRI} procedure improvement using non-registered portable {US}},\n\tbooktitle = {11th {Interventional} {MRI} {Symposium}},\n\tauthor = {Krug, J.W. and Boese, A. and Odenbach, R. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Photodynamic therapy: an attractive but complex multivariable process.\n \n \n \n\n\n \n Illanes, A.\n\n\n \n\n\n\n In International Conference on Nuclear Medicine and Radiation Therapy, Cologne, Germany, July 2016. \n \n\n\n\n
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@inproceedings{illanes_photodynamic_2016,\n\taddress = {Cologne, Germany},\n\ttitle = {Photodynamic therapy: an attractive but complex multivariable process},\n\tbooktitle = {International {Conference} on {Nuclear} {Medicine} and {Radiation} {Therapy}},\n\tauthor = {Illanes, A.},\n\tmonth = jul,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Distortion indicator algorithm for simple artifact assessment of passive MRI markers.\n \n \n \n\n\n \n Illanes, A.; Krug, J.; Abadi, H.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Orlando, USA, 2016. \n \n\n\n\n
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@inproceedings{illanes_distortion_2016,\n\taddress = {Orlando, USA},\n\ttitle = {Distortion indicator algorithm for simple artifact assessment of passive {MRI} markers},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Illanes, A. and Krug, J.W. and Abadi, H. and Friebe, M.},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Time varying spectral analysis of blood flow sounds acquired with a portable digital stethoscope connected to a smart phone.\n \n \n \n\n\n \n Illanes, A.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 28th International Conference of the Society for MedicaL Innovation and Technology, SMIT 2016, Delft, The Netherlands, October 2016. \n \n\n\n\n
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@inproceedings{illanes_time_2016,\n\taddress = {Delft, The Netherlands},\n\ttitle = {Time varying spectral analysis of blood flow sounds acquired with a portable digital stethoscope connected to a smart phone},\n\tbooktitle = {Abstract book of the 28th {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2016},\n\tauthor = {Illanes, Alfredo and Boese, Axel and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Assessing MRI susceptibility artefact through an indicator of image distortion.\n \n \n \n\n\n \n Illanes, A.; Krug, J.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 427–431. September 2016.\n \n\n\n\n
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@article{illanes_assessing_2016,\n\ttitle = {Assessing {MRI} susceptibility artefact through an indicator of image distortion},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0095},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Illanes, A. and Krug, J. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {427--431},\n}\n\n
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\n \n\n \n \n \n \n \n Does the size of susceptibility artefact assessment - using the guidelines - in MRI vary among different users.\n \n \n \n\n\n \n Illanes, A.; Krug, J.; and Friebe, M.\n\n\n \n\n\n\n In Proc ESMRMB, Vienna, Austria, October 2016. \n \n\n\n\n
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@inproceedings{illanes_does_2016,\n\taddress = {Vienna, Austria},\n\ttitle = {Does the size of susceptibility artefact assessment - using the guidelines - in {MRI} vary among different users},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Illanes, A. and Krug, J.W. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Resectoscope with an easy to use twist mechanism for improved handling.\n \n \n \n\n\n \n Fritzsche, H.; Boese, A.; Schostak, M.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 379–382. September 2016.\n \n\n\n\n
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@article{fritzsche_resectoscope_2016,\n\ttitle = {Resectoscope with an easy to use twist mechanism for improved handling},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0084},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Fritzsche, H. and Boese, A. and Schostak, M. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {379--382},\n}\n\n
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\n \n\n \n \n \n \n \n Instruments for image guided procedures - IIGP : review summaries for minimal invasive and image guided technologies and clinical procedures : student review papers on selected topics.\n \n \n \n\n\n \n Friebe, M.,\n editor.\n \n\n\n \n\n\n\n Otto-von-Guericke-Universitaet Magdeburg, 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{friebe_instruments_2016,\n\ttitle = {Instruments for image guided procedures - {IIGP} : review summaries for minimal invasive and image guided technologies and clinical procedures : student review papers on selected topics},\n\tpublisher = {Otto-von-Guericke-Universitaet Magdeburg},\n\teditor = {Friebe, M.},\n\tyear = {2016},\n\tdoi = {10.24352/UB.OVGU-2017-017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Computed tomography and magnetic resonance imaging contrast media injectors: technical feature review – what is really needed?.\n \n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n Medical Devices: Evidence and Research, 9: 231–239. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ComputedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{friebe_computed_2016,\n\ttitle = {Computed tomography and magnetic resonance imaging contrast media injectors: technical feature review – what is really needed?},\n\tvolume = {9},\n\turl = {http://www.ncbi.nlm.nih.gov/pubmed/27486345},\n\tdoi = {10.2147/MDER.S106338},\n\tjournal = {Medical Devices: Evidence and Research},\n\tauthor = {Friebe, M.},\n\tyear = {2016},\n\tpages = {231--239},\n}\n\n
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\n \n\n \n \n \n \n \n Should 'cheap' and 'easy to use' be primary attributes for MedTec product developments? MRI Injector Example.\n \n \n \n\n\n \n Friebe, M.; Boese, A.; Traub, J.; and Hellwig, S.\n\n\n \n\n\n\n In Abstract book of the 28th International Conference of the Society for MedicaL Innovation and Technology, SMIT 2016, Delft, The Netherlands, October 2016. \n \n\n\n\n
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@inproceedings{friebe_should_2016,\n\taddress = {Delft, The Netherlands},\n\ttitle = {Should 'cheap' and 'easy to use' be primary attributes for {MedTec} product developments? {MRI} {Injector} {Example}.},\n\tbooktitle = {Abstract book of the 28th {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2016},\n\tauthor = {Friebe, Michael and Boese, Axel and Traub, Joerg and Hellwig, Stefan},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Minimal-invasive and image-guided Radiation Therapy products – how important is affordable and intuitive as value proposition?.\n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In International Conference on Nuclear Medicine and Radiation Therapy, Cologne, Germany, July 2016. \n \n\n\n\n
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@inproceedings{friebe_minimal-invasive_2016,\n\taddress = {Cologne, Germany},\n\ttitle = {Minimal-invasive and image-guided {Radiation} {Therapy} products – how important is affordable and intuitive as value proposition?},\n\tbooktitle = {International {Conference} on {Nuclear} {Medicine} and {Radiation} {Therapy}},\n\tauthor = {Friebe, M.},\n\tmonth = jul,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Intraoperative Radiation Delivery Concepts placed and monitored with handheld SPECT/US Hybrid Imaging Techniques.\n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n In International Conference on Nuclear Medicine and Radiation Therapy, Cologne, Germany, July 2016. \n \n\n\n\n
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@inproceedings{friebe_intraoperative_2016,\n\taddress = {Cologne, Germany},\n\ttitle = {Intraoperative {Radiation} {Delivery} {Concepts} placed and monitored with handheld {SPECT}/{US} {Hybrid} {Imaging} {Techniques}},\n\tbooktitle = {International {Conference} on {Nuclear} {Medicine} and {Radiation} {Therapy}},\n\tauthor = {Friebe, M.},\n\tmonth = jul,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Conceptual idea for brain tumour treatment through intra-arterial pathways.\n \n \n \n\n\n \n Friebe, M.; Wu, T.; and Boese, A.\n\n\n \n\n\n\n In International Conference on Neuro Oncology and Brain Tumor, Brisbane, Australia, July 2016. \n \n\n\n\n
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@inproceedings{friebe_conceptual_2016,\n\taddress = {Brisbane, Australia},\n\ttitle = {Conceptual idea for brain tumour treatment through intra-arterial pathways},\n\tbooktitle = {International {Conference} on {Neuro} {Oncology} and {Brain} {Tumor}},\n\tauthor = {Friebe, M. and Wu, T. and Boese, A.},\n\tmonth = jul,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Lösungsfindung mit dem Endnutzer, ein neuer Ansatz in der methodischen Produktentwicklung am Beispiel der Medizintechnik.\n \n \n \n\n\n \n Boese, A.\n\n\n \n\n\n\n Shaker, Aachen, Germany, 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{boese_losungsfindung_2016,\n\taddress = {Aachen, Germany},\n\ttitle = {Lösungsfindung mit dem {Endnutzer}, ein neuer {Ansatz} in der methodischen {Produktentwicklung} am {Beispiel} der {Medizintechnik}},\n\tisbn = {978-3-8440-4947-3},\n\tpublisher = {Shaker},\n\tauthor = {Boese, A.},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n A simple system to create defined movements of objects in the MR scanner.\n \n \n \n\n\n \n Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc ESMRMB, Vienna, Austria, October 2016. \n \n\n\n\n
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@inproceedings{boese_simple_2016,\n\taddress = {Vienna, Austria},\n\ttitle = {A simple system to create defined movements of objects in the {MR} scanner},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Boese, A. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Marker for estimation of position and bearing of medical devices.\n \n \n \n\n\n \n Boese, A.; Foerstenberg, D.; Wu, T.; and Friebe, M.\n\n\n \n\n\n\n In Book of abstracts 50th annual conference of the German Society for Biomedical Engineering, Basel, Switzerland, September 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boese_marker_2016,\n\taddress = {Basel, Switzerland},\n\ttitle = {Marker for estimation of position and bearing of medical devices},\n\tbooktitle = {Book of abstracts 50th annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Boese, A. and Foerstenberg, D. and Wu, T. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Innovation mit und fuer den Mediziner am Beispiel der Urologie.\n \n \n \n\n\n \n Boese, A.; Fritzsche, H.; Schostak, M.; and Friebe, M.\n\n\n \n\n\n\n In Kontroversen in der Urologie, Magdeburg, Germany, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boese_innovation_2016,\n\taddress = {Magdeburg, Germany},\n\ttitle = {Innovation mit und fuer den {Mediziner} am {Beispiel} der {Urologie}},\n\tbooktitle = {Kontroversen in der {Urologie}},\n\tauthor = {Boese, A. and Fritzsche, H. and Schostak, M. and Friebe, M.},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Needle sleeve for interventional tools.\n \n \n \n\n\n \n Boese, A.; Kaegebein, U.; Odenbach, R.; and Friebe, M.\n\n\n \n\n\n\n In 11th Interventional MRI Symposium, Baltimore, USA, October 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{boese_needle_2016,\n\taddress = {Baltimore, USA},\n\ttitle = {Needle sleeve for interventional tools},\n\tbooktitle = {11th {Interventional} {MRI} {Symposium}},\n\tauthor = {Boese, A. and Kaegebein, U. and Odenbach, R. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Inside-Out access strategy using new trans-vascular catheter approach.\n \n \n \n\n\n \n Boese, A.; Foerstenberg, D.; Wu, T.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 2(1): 455–458. September 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{boese_inside-out_2016,\n\ttitle = {Inside-{Out} access strategy using new trans-vascular catheter approach},\n\tvolume = {2},\n\tdoi = {10.1515/cdbme-2016-0100},\n\tnumber = {1},\n\tjournal = {Current Directions in Biomedical Engineering},\n\tauthor = {Boese, A. and Foerstenberg, D. and Wu, T. and Friebe, M.},\n\tmonth = sep,\n\tyear = {2016},\n\tpages = {455--458},\n}\n\n
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\n \n\n \n \n \n \n \n Calibration Free Beam Hardening Correction Using Grangeat-Based Consistency Measure.\n \n \n \n\n\n \n Abdurahman, S.; Frysch, R.; Bismark, R.; Friebe, M.; and Rose, G.\n\n\n \n\n\n\n In Proc IEEE NSS/MIC Conference, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{abdurahman_calibration_2016,\n\ttitle = {Calibration {Free} {Beam} {Hardening} {Correction} {Using} {Grangeat}-{Based} {Consistency} {Measure}},\n\tbooktitle = {Proc {IEEE} {NSS}/{MIC} {Conference}},\n\tauthor = {Abdurahman, S. and Frysch, R. and Bismark, R. and Friebe, M. and Rose, G.},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Passive artifact behavior prediction of interventional tools in high-field MRI using a 0.55T portable benchtop MR scanner.\n \n \n \n\n\n \n Abadi, H.; Krug, J. W.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n In Proc IEEE Eng Med Biol Soc, Orlando, USA, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{abadi_passive_2016,\n\taddress = {Orlando, USA},\n\ttitle = {Passive artifact behavior prediction of interventional tools in high-field {MRI} using a 0.{55T} portable benchtop {MR} scanner},\n\tbooktitle = {Proc {IEEE} {Eng} {Med} {Biol} {Soc}},\n\tauthor = {Abadi, H. and Krug, J. W. and Illanes, A. and Friebe, M.},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n The tip is the key - RFA needle modification using PEEK for reduced susceptibility artifact in MRI.\n \n \n \n\n\n \n AlMaatoq, M.; Krug, J.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 28th International Conference of the Society for MedicaL Innovation and Technology, SMIT 2016, Delft, The Netherlands, October 2016. \n \n\n\n\n
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@inproceedings{almaatoq_tip_2016,\n\taddress = {Delft, The Netherlands},\n\ttitle = {The tip is the key - {RFA} needle modification using {PEEK} for reduced susceptibility artifact in {MRI}},\n\tbooktitle = {Abstract book of the 28th {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2016},\n\tauthor = {AlMaatoq, Marwah and Krug, Johannes and Friebe, Michael},\n\tmonth = oct,\n\tyear = {2016},\n}\n\n
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\n  \n 2015\n \n \n (21)\n \n \n
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\n \n\n \n \n \n \n \n Estimation of a respiratory signal from a single-lead ECG using the 4th order central moments.\n \n \n \n\n\n \n Schmidt, M.; Krug, J.; Schumann, A.; Bär, K.; and Rose, G.\n\n\n \n\n\n\n In Proc BMT, 2015. \n \n\n\n\n
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@inproceedings{schmidt_estimation_2015,\n\ttitle = {Estimation of a respiratory signal from a single-lead {ECG} using the 4th order central moments},\n\tbooktitle = {Proc {BMT}},\n\tauthor = {Schmidt, M. and Krug, J.W. and Schumann, A. and Bär, K.J. and Rose, G.},\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Hybrid Interventional Imaging For Non-Surgical Sentinel Lymph Node Staging.\n \n \n \n\n\n \n Paepke, S.; Horn, M.; Wendler, T.; and Friebe, M.\n\n\n \n\n\n\n In CARS 2015 Computer Assisted Radiology and Surgery, Barcelona, Spain, June 2015. \n \n\n\n\n
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@inproceedings{paepke_hybrid_2015,\n\taddress = {Barcelona, Spain},\n\ttitle = {Hybrid {Interventional} {Imaging} {For} {Non}-{Surgical} {Sentinel} {Lymph} {Node} {Staging}},\n\tbooktitle = {{CARS} 2015 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Paepke, Stefan and Horn, Martin and Wendler, Thomas and Friebe, Michael},\n\tmonth = jun,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Minimal Invasive Tumor Extraction combined with subsequent Intraoperative Radiation.\n \n \n \n\n\n \n Oepen, A. v.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In IGIC 2015 Conference, Mannheim, Germany, 2015. \n \n\n\n\n
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@inproceedings{oepen_minimal_2015,\n\taddress = {Mannheim, Germany},\n\ttitle = {Minimal {Invasive} {Tumor} {Extraction} combined with subsequent {Intraoperative} {Radiation}},\n\tbooktitle = {{IGIC} 2015 {Conference}},\n\tauthor = {Oepen, A. van and Boese, A. and Friebe, M.},\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Novel Device for Minimally-Invasive Tumor Removal.\n \n \n \n\n\n \n Oepen, A. v.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 27nd International Conference of the Society for MedicaL Innovation and Technology, SMIT 2015, Brno, Czech, September 2015. \n \n\n\n\n
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@inproceedings{oepen_novel_2015,\n\taddress = {Brno, Czech},\n\ttitle = {Novel {Device} for {Minimally}-{Invasive} {Tumor} {Removal}},\n\tbooktitle = {Abstract book of the 27nd {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2015},\n\tauthor = {Oepen, Alexander van and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n MRI-compatible setup for endoscopic brain surgeries using a flexible, micro-positionable needle holder.\n \n \n \n\n\n \n Odenbach, R.; Krug, J. W.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In Abstract book of the 27nd International Conference of the Society for MedicaL Innovation and Technology, SMIT 2015, Brno, Czech, September 2015. \n \n\n\n\n
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@inproceedings{odenbach_mri-compatible_2015,\n\taddress = {Brno, Czech},\n\ttitle = {{MRI}-compatible setup for endoscopic brain surgeries using a flexible, micro-positionable needle holder},\n\tbooktitle = {Abstract book of the 27nd {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2015},\n\tauthor = {Odenbach, Robert and Krug, J. W. and Boese, Axel and Friebe, Michael},\n\tmonth = sep,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Flexible, micro-positionable needle and endoscope guidance tool for image guided interventions.\n \n \n \n\n\n \n Odenbach, R.; Boese, A.; and Friebe, M.\n\n\n \n\n\n\n In IGIC 2015 Conference, Mannheim, Germany, 2015. \n \n\n\n\n
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@inproceedings{odenbach_flexible_2015,\n\taddress = {Mannheim, Germany},\n\ttitle = {Flexible, micro-positionable needle and endoscope guidance tool for image guided interventions},\n\tbooktitle = {{IGIC} 2015 {Conference}},\n\tauthor = {Odenbach, R. and Boese, A. and Friebe, M.},\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Inside-Out Tracking for Flexible Hand-held Nuclear Tomographic Imaging.\n \n \n \n\n\n \n Matthies, P.; Frisch, B.; Vogel, J.; Lasser, T.; Friebe, M.; and Navab, N.\n\n\n \n\n\n\n In IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, USA, November 2015. \n \n\n\n\n
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@inproceedings{matthies_inside-out_2015,\n\taddress = {San Diego, USA},\n\ttitle = {Inside-{Out} {Tracking} for {Flexible} {Hand}-held {Nuclear} {Tomographic} {Imaging}},\n\tbooktitle = {{IEEE} {Nuclear} {Science} {Symposium} and {Medical} {Imaging} {Conference}},\n\tauthor = {Matthies, P. and Frisch, B. and Vogel, J. and Lasser, T. and Friebe, M. and Navab, N.},\n\tmonth = nov,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Hall sensors for respiratory motion detection in MRI.\n \n \n \n\n\n \n Krug, J.; Zhang, R.; Rose, G.; and Friebe, M.\n\n\n \n\n\n\n In Proc ESMRMB, Edinburgh, Scotland, October 2015. \n \n\n\n\n
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@inproceedings{krug_hall_2015,\n\taddress = {Edinburgh, Scotland},\n\ttitle = {Hall sensors for respiratory motion detection in {MRI}},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Krug, J.W. and Zhang, R. and Rose, G. and Friebe, M.},\n\tmonth = oct,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Automatic Image Plane Alignment for Percutaneous MR-Guided Interventions Using an Optical Moire Phase Tracking System.\n \n \n \n\n\n \n Kaegebein, U.; Godenschweger, F.; Boese, A.; and Speck, O.\n\n\n \n\n\n\n In Proc ESMRMB, Edinburgh, Scotland, October 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{kaegebein_automatic_2015,\n\taddress = {Edinburgh, Scotland},\n\ttitle = {Automatic {Image} {Plane} {Alignment} for {Percutaneous} {MR}-{Guided} {Interventions} {Using} an {Optical} {Moire} {Phase} {Tracking} {System}},\n\tbooktitle = {Proc {ESMRMB}},\n\tauthor = {Kaegebein, U. and Godenschweger, F. and Boese, A. and Speck, O.},\n\tmonth = oct,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n New material compositions for an increased visibility of flow diverter stents.\n \n \n \n\n\n \n Hoffmann, T.; Boese, A.; Serowy, S.; Cattaneo, G. F.; Mailaender, W.; Skalej, M.; and Beuing, O.\n\n\n \n\n\n\n In WFITN, Brisbane, Australia, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{hoffmann_new_2015,\n\taddress = {Brisbane, Australia},\n\ttitle = {New material compositions for an increased visibility of flow diverter stents},\n\tbooktitle = {{WFITN}},\n\tauthor = {Hoffmann, T. and Boese, A. and Serowy, S. and Cattaneo, G. F. and Mailaender, W. and Skalej, M. and Beuing, O.},\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Intravascular optical coherence tomography (OCT) as an additional tool for the assessment of stent structures.\n \n \n \n\n\n \n Hoffmann, T.; Boese, A.; Glasser, S.; Skalej, M.; and Beuing, O.\n\n\n \n\n\n\n Book of abstracts 49th annual conference of the German Society for Biomedical Engineering, 1(1): 257–260. September 2015.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{hoffmann_intravascular_2015,\n\ttitle = {Intravascular optical coherence tomography ({OCT}) as an additional tool for the assessment of stent structures},\n\tvolume = {1},\n\tnumber = {1},\n\tjournal = {Book of abstracts 49th annual conference of the German Society for Biomedical Engineering},\n\tauthor = {Hoffmann, T. and Boese, A. and Glasser, S. and Skalej, M. and Beuing, O.},\n\tmonth = sep,\n\tyear = {2015},\n\tpages = {257--260},\n}\n\n
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\n \n\n \n \n \n \n \n Intravascular optical coherence tomography (OCT) as an additional tool for the assessment of stent structures.\n \n \n \n\n\n \n Hoffmann, T.; Boese, A.; Glasser, S.; Skalej, M.; and Beuing, O.\n\n\n \n\n\n\n In Book of abstracts 49th annual conference of the German Society for Biomedical Engineering, Luebeck, Germany, September 2015. \n \n\n\n\n
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@inproceedings{hoffmann_intravascular_2015-1,\n\taddress = {Luebeck, Germany},\n\ttitle = {Intravascular optical coherence tomography ({OCT}) as an additional tool for the assessment of stent structures},\n\tbooktitle = {Book of abstracts 49th annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Hoffmann, T. and Boese, A. and Glasser, S. and Skalej, M. and Beuing, O.},\n\tmonth = sep,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Investigation of endovascular OCT for imaging of intracranial aneurysms.\n \n \n \n\n\n \n Hoffmann, T.; Glasser, S.; Boese, A.; Brandstaedter, K.; Kalinski, T.; Beuing, O.; and Skalej, M.\n\n\n \n\n\n\n In CARS 2015 Computer Assisted Radiology and Surgery, Barcelona, Spain, June 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{hoffmann_investigation_2015,\n\taddress = {Barcelona, Spain},\n\ttitle = {Investigation of endovascular {OCT} for imaging of intracranial aneurysms},\n\tbooktitle = {{CARS} 2015 {Computer} {Assisted} {Radiology} and {Surgery}},\n\tauthor = {Hoffmann, T. and Glasser, S. and Boese, A. and Brandstaedter, K. and Kalinski, T. and Beuing, O. and Skalej, M.},\n\tmonth = jun,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Histology-Based Evaluation of Optical Coherence Tomographic Charateristics of the Cerebral Artery Wall via Virtual Inflating.\n \n \n \n\n\n \n Glasser, S.; Hoffmann, T.; Boese, A.; Voss, S.; Kalinski, T.; Skalej, M.; and Preim, B.\n\n\n \n\n\n\n In Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pages 149–158, Chester, UK, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{glasser_histology-based_2015,\n\taddress = {Chester, UK},\n\ttitle = {Histology-{Based} {Evaluation} of {Optical} {Coherence} {Tomographic} {Charateristics} of the {Cerebral} {Artery} {Wall} via {Virtual} {Inflating}},\n\tbooktitle = {Eurographics {Workshop} on {Visual} {Computing} for {Biology} and {Medicine} ({VCBM})},\n\tauthor = {Glasser, S. and Hoffmann, T. and Boese, A. and Voss, S. and Kalinski, T. and Skalej, M. and Preim, B.},\n\tyear = {2015},\n\tpages = {149--158},\n}\n\n
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\n \n\n \n \n \n \n \n Image Guided Surgery Innovation with Graduate Students - a new lecture format.\n \n \n \n\n\n \n Friebe, M.; and Traub, J.\n\n\n \n\n\n\n In Book of abstracts 49th annual conference of the German Society for Biomedical Engineering, Luebeck, Germany, September 2015. \n \n\n\n\n
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@inproceedings{friebe_image_2015,\n\taddress = {Luebeck, Germany},\n\ttitle = {Image {Guided} {Surgery} {Innovation} with {Graduate} {Students} - a new lecture format},\n\tbooktitle = {Book of abstracts 49th annual conference of the {German} {Society} for {Biomedical} {Engineering}},\n\tauthor = {Friebe, Michael and Traub, Joerg},\n\tmonth = sep,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Pathway to MedTec Entrepreneurship - Image Guided Surgery Translation.\n \n \n \n\n\n \n Friebe, M.; and Traub, J.\n\n\n \n\n\n\n In BME-IDEA EU Symposium, Imperial College, London, UK, June 2015. \n \n\n\n\n
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@inproceedings{friebe_pathway_2015,\n\taddress = {Imperial College, London, UK},\n\ttitle = {Pathway to {MedTec} {Entrepreneurship} - {Image} {Guided} {Surgery} {Translation}},\n\tbooktitle = {{BME}-{IDEA} {EU} {Symposium}},\n\tauthor = {Friebe, Michael and Traub, Joerg},\n\tmonth = jun,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Image Guided Double-Balloon Brachytherapy Concept.\n \n \n \n\n\n \n Friebe, M.; and Boese, A.\n\n\n \n\n\n\n In Abstract book of the 27nd International Conference of the Society for MedicaL Innovation and Technology, SMIT 2015, Brno, Czech, September 2015. \n \n\n\n\n
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@inproceedings{friebe_image_2015-1,\n\taddress = {Brno, Czech},\n\ttitle = {Image {Guided} {Double}-{Balloon} {Brachytherapy} {Concept}},\n\tbooktitle = {Abstract book of the 27nd {International} {Conference} of the {Society} for {MedicaL} {Innovation} and {Technology}, {SMIT} 2015},\n\tauthor = {Friebe, Michael and Boese, Axel},\n\tmonth = sep,\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Hands free for intervention, a new approach for transoral endoscopic surgery.\n \n \n \n\n\n \n Boese, A.; Detert, M.; Stibbe, C.; Thiele, M.; and Arens, C.\n\n\n \n\n\n\n Book of abstracts 49th annual conference of the German Society for Biomedical Engineering, 1(1): 157–159. September 2015.\n \n\n\n\n
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@article{boese_hands_2015,\n\ttitle = {Hands free for intervention, a new approach for transoral endoscopic surgery},\n\tvolume = {1},\n\tnumber = {1},\n\tjournal = {Book of abstracts 49th annual conference of the German Society for Biomedical Engineering},\n\tauthor = {Boese, A. and Detert, M. and Stibbe, C. and Thiele, M. and Arens, C.},\n\tmonth = sep,\n\tyear = {2015},\n\tpages = {157--159},\n}\n\n
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\n \n\n \n \n \n \n \n Changing the stiffness of vascular catheters intra interventional.\n \n \n \n\n\n \n Boese, A.; Hoffmann, T.; Skalej, M.; and Beuing, O.\n\n\n \n\n\n\n In WFITN, Brisbane, Australia, 2015. \n \n\n\n\n
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@inproceedings{boese_changing_2015,\n\taddress = {Brisbane, Australia},\n\ttitle = {Changing the stiffness of vascular catheters intra interventional},\n\tbooktitle = {{WFITN}},\n\tauthor = {Boese, A. and Hoffmann, T. and Skalej, M. and Beuing, O.},\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Increasing the visibility of thin NITINOL vascular implants.\n \n \n \n\n\n \n Boese, A.; Rose, G.; Friebe, M.; Hoffmann, T.; Serowy, S.; Skalej, M.; Mailaender, W.; and Cattaneo, G. F.\n\n\n \n\n\n\n Book of abstracts 49th annual conference of the German Society for Biomedical Engineering, 1(1): 503–506. September 2015.\n \n\n\n\n
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@article{boese_increasing_2015,\n\ttitle = {Increasing the visibility of thin {NITINOL} vascular implants},\n\tvolume = {1},\n\tnumber = {1},\n\tjournal = {Book of abstracts 49th annual conference of the German Society for Biomedical Engineering},\n\tauthor = {Boese, A. and Rose, G. and Friebe, M. and Hoffmann, T. and Serowy, S. and Skalej, M. and Mailaender, W. and Cattaneo, G. F.},\n\tmonth = sep,\n\tyear = {2015},\n\tpages = {503--506},\n}\n\n
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\n  \n 2014\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Ultrasound communication for intelligent implants.\n \n \n \n\n\n \n Laqua, D.; Sühn, T.; Kring, K.; Albrecht, K.; and Husar, P.\n\n\n \n\n\n\n Biomed Tech, 59(s1). 2014.\n \n\n\n\n
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@article{laqua_ultrasound_2014,\n\ttitle = {Ultrasound communication for intelligent implants},\n\tvolume = {59},\n\tdoi = {10.1515/bmt-2014-5010},\n\tnumber = {s1},\n\tjournal = {Biomed Tech},\n\tauthor = {Laqua, D. and Sühn, T. and Kring, K. and Albrecht, K. and Husar, P.},\n\tyear = {2014},\n}\n\n
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