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\n  \n 2026\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Spatio-Temporal Deep Learning-Based Segmentation of Left Ventricular Wall in Murine Model Echocardiography.\n \n \n \n\n\n \n Carcedo-Rodríguez, Gabriel; Vazquez, B.; Perez-Gonzalez, J.; and Hevia-Montiel, N.\n\n\n \n\n\n\n In Zuñiga-Aguilar, E.; Benítez-Mata, Balam; Reyes-Lagos, J. J.; Hernandez Acosta, H. Y.; Botello Arredondo, A. I.; Bayareh Mancilla, R.; Vázquez de la Rosa, J. F.; and Gutiérrez Valenzuela, C. A., editor(s), XLVIII Mexican Conference on Biomedical Engineering, pages 108–117, Cham, 2026. Springer Nature Switzerland\n \n\n\n\n
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@InProceedings{10.1007/978-3-032-13729-6_12,\n\tauthor="Carcedo-Rodr{\\'i}guez, Gabriel\n\tand Vazquez, Blanca\n\tand Perez-Gonzalez, Jorge\n\tand Hevia-Montiel, Nidiyare",\n\teditor="Zu{\\~{n}}iga-Aguilar, Esmeralda\n\tand Ben{\\'i}tez-Mata, Balam\n\tand Reyes-Lagos, Jose Javier\n\tand Hernandez Acosta, Humiko Yahaira\n\tand Botello Arredondo, Adeodato Israel\n\tand Bayareh Mancilla, Rafael\n\tand V{\\'a}zquez de la Rosa, Jaime Fabian\n\tand Guti{\\'e}rrez Valenzuela, Cindy Alejandra",\n\ttitle="Spatio-Temporal Deep Learning-Based Segmentation of Left Ventricular Wall in Murine Model Echocardiography",\n\tbooktitle="XLVIII Mexican Conference on Biomedical Engineering",\n\tyear="2026",\n\tpublisher="Springer Nature Switzerland",\n\taddress="Cham",\n\tpages="108--117",\n\tabstract="Accurate segmentation of the left ventricular wall in echocardiography of murine models is crucial for cardiac functional assessment, but it presents a challenge due to anatomical variability, low resolution and the effort required in manual annotation. This work proposes a modular automatic segmentation architecture composed of two modules: the Res-SE-U-Net, which is based on U-Net architecture and incorporates a ResNet18 encoder and Squeeze-and-Excitation attentional blocks to extract spatial features, followed by a ConvLSTM module to refine the segmentations by incorporating temporal information. The model was trained and evaluated on a dataset of 452 long-axis echocardiography frames, with data augmentation applied during training, achieving competitive performance metrics, with an Intersection over Union score of 0.803 and a Dice coefficient of 0.889, which proved to be an efficient, reproducible and effective approach.",\n\tisbn="978-3-032-13729-6"\n}\n\n\n
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\n Accurate segmentation of the left ventricular wall in echocardiography of murine models is crucial for cardiac functional assessment, but it presents a challenge due to anatomical variability, low resolution and the effort required in manual annotation. This work proposes a modular automatic segmentation architecture composed of two modules: the Res-SE-U-Net, which is based on U-Net architecture and incorporates a ResNet18 encoder and Squeeze-and-Excitation attentional blocks to extract spatial features, followed by a ConvLSTM module to refine the segmentations by incorporating temporal information. The model was trained and evaluated on a dataset of 452 long-axis echocardiography frames, with data augmentation applied during training, achieving competitive performance metrics, with an Intersection over Union score of 0.803 and a Dice coefficient of 0.889, which proved to be an efficient, reproducible and effective approach.\n
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\n \n\n \n \n \n \n \n Deep Learning Applied to Segmentation of Ischemic Brain Infarct Lesions in Magnetic Resonance Images.\n \n \n \n\n\n \n May-Balam, V.; Carcedo-Rodríguez, G.; Perez-Gonzalez, J. L.; and Hevia-Montiel, N.\n\n\n \n\n\n\n In Zuñiga-Aguilar, E.; Benítez-Mata, Balam; Reyes-Lagos, J. J.; Hernandez Acosta, H. Y.; Botello Arredondo, A. I.; Bayareh Mancilla, R.; Vázquez de la Rosa, J. F.; and Gutiérrez Valenzuela, C. A., editor(s), XLVIII Mexican Conference on Biomedical Engineering, pages 315–324, Cham, 2026. Springer Nature Switzerland\n \n\n\n\n
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@InProceedings{10.1007/978-3-032-13729-6_34,\n\tauthor="May-Balam, V.\n\tand Carcedo-Rodr{\\'i}guez, G.\n\tand Perez-Gonzalez, J. Luis\n\tand Hevia-Montiel, N.",\n\teditor="Zu{\\~{n}}iga-Aguilar, Esmeralda\n\tand Ben{\\'i}tez-Mata, Balam\n\tand Reyes-Lagos, Jose Javier\n\tand Hernandez Acosta, Humiko Yahaira\n\tand Botello Arredondo, Adeodato Israel\n\tand Bayareh Mancilla, Rafael\n\tand V{\\'a}zquez de la Rosa, Jaime Fabian\n\tand Guti{\\'e}rrez Valenzuela, Cindy Alejandra",\n\ttitle="Deep Learning Applied to Segmentation of Ischemic Brain Infarct Lesions in Magnetic Resonance Images",\n\tbooktitle="XLVIII Mexican Conference on Biomedical Engineering",\n\tyear="2026",\n\tpublisher="Springer Nature Switzerland",\n\taddress="Cham",\n\tpages="315--324",\n\tabstract="Early and accurate diagnosis of ischemic stroke is essential to improve patient treatment and prognosis. In this context, automatic lesion segmentation in DWI images constitutes a valuable tool to assist specialists in identifying and quantifying affected areas. In this work, we propose an approach based on deep learning using an Attention U-Net model, designed to enhance lesion localization by utilizing attention mechanisms. This approach achieves a DICE Similarity Coefficient (DSC) of 0.78 in acute phase images (<6 h post-infarction) and demonstrates generalization in follow-up images (48 h post-infarction). The model was trained and validated with data from 55 patients, employing data augmentation and cross-validation to address the limited dataset size. The results showed high sensitivity (0.85) and an F1 score of 0.89 with an optimal threshold of 0.90, indicating that this approach may be useful in supporting the diagnosis of cerebral infarction.",\n\tisbn="978-3-032-13729-6"\n}\n\n
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\n Early and accurate diagnosis of ischemic stroke is essential to improve patient treatment and prognosis. In this context, automatic lesion segmentation in DWI images constitutes a valuable tool to assist specialists in identifying and quantifying affected areas. In this work, we propose an approach based on deep learning using an Attention U-Net model, designed to enhance lesion localization by utilizing attention mechanisms. This approach achieves a DICE Similarity Coefficient (DSC) of 0.78 in acute phase images (<6 h post-infarction) and demonstrates generalization in follow-up images (48 h post-infarction). The model was trained and validated with data from 55 patients, employing data augmentation and cross-validation to address the limited dataset size. The results showed high sensitivity (0.85) and an F1 score of 0.89 with an optimal threshold of 0.90, indicating that this approach may be useful in supporting the diagnosis of cerebral infarction.\n
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\n  \n 2025\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Deep learning for Chagas disease: YOLOv8-based automatic detection of amastigote nests.\n \n \n \n\n\n \n Sosa, D.; Vázquez, B.; and Hevia-Montiel, N.\n\n\n \n\n\n\n In 2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM), pages 1-5, 2025. \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\n
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@INPROCEEDINGS{11283341,\n  author={Sosa, Daniela and Vázquez, Blanca and Hevia-Montiel, Nidiyare},\n  booktitle={2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)}, \n  title={Deep learning for Chagas disease: YOLOv8-based automatic detection of amastigote nests}, \n  year={2025},\n  volume={},\n  number={},\n  pages={1-5},\n  keywords={Deep learning;Training;Computer vision;Accuracy;Sensitivity;Histopathology;Computer architecture;Object detection;Public healthcare;Diseases;Chagas disease;YOLOv8;deep learning;computer vision;object detection;biomedical imaging},\n  doi={10.1109/SIPAIM67325.2025.11283341}}\n  \n
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\n \n\n \n \n \n \n \n Deep Learning-based Echocardiography Enhancement: Reducing Speckle Noise and Improving Temporal Resolution.\n \n \n \n\n\n \n Carcedo-Rodríguez, G.; Vazquez, B.; Perez-Gonzalez, J.; and Hevia-Montiel, N.\n\n\n \n\n\n\n In 2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM), pages 1-5, 2025. \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\n
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@INPROCEEDINGS{11283395,\n  author={Carcedo-Rodríguez, Gabriel and Vazquez, Blanca and Perez-Gonzalez, Jorge and Hevia-Montiel, Nidiyare},\n  booktitle={2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM)}, \n  title={Deep Learning-based Echocardiography Enhancement: Reducing Speckle Noise and Improving Temporal Resolution}, \n  year={2025},\n  volume={},\n  number={},\n  pages={1-5},\n  keywords={Heart rate;Training;Interpolation;Ultrasonic imaging;Noise reduction;Pipelines;Noise;Speckle;Spatial resolution;Testing},\n  doi={10.1109/SIPAIM67325.2025.11283395}}\n  \n
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\n \n\n \n \n \n \n \n \n Discrete Neuroimaging Metrics for Identifying Structural Alterations in COVID-19-Related Brain Atrophy.\n \n \n \n \n\n\n \n Delgado-Castillo, D.; Barbará-Morales, E.; Hevia-Montiel, N.; Arámbula-Cosío, F.; and Torres Guzman, D.\n\n\n \n\n\n\n International Journal of Online and Biomedical Engineering (iJOE), 21(13): pp. 97–112. 11 2025.\n \n\n\n\n
\n\n\n\n \n \n \"DiscretePaper\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{duniel_COVID,\n    author = {Delgado-Castillo, Duniel and Barbará-Morales, Eduardo and Hevia-Montiel, Nidiyare and Arámbula-Cosío, Fernando and Torres Guzman, Didier},\n    journal = {International Journal of Online and Biomedical Engineering (iJOE)},\n    title = {Discrete Neuroimaging Metrics for Identifying Structural Alterations in COVID-19-Related Brain Atrophy},\n    year = {2025},\n    month = {11},\n    volume={21},\n    url={https://online-journals.org/index.php/i-joe/article/view/56605},\n    DOI={10.3991/ijoe.v21i13.56605}, \n    number={13},\n    pages={pp. 97–112}\n}\n\n
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\n \n\n \n \n \n \n \n \n “ShapeNet”: A Shape Regression Convolutional Neural Network Ensemble Applied to the Segmentation of the Left Ventricle in Echocardiography.\n \n \n \n \n\n\n \n Gómez, E. G.; Torres-Robles, F.; Perez-Gonzalez, J.; and Arámbula Cosío, F.\n\n\n \n\n\n\n Journal of Imaging, 11(5): 165. May 2025.\n Publisher: Multidisciplinary Digital Publishing Institute\n\n\n\n
\n\n\n\n \n \n \"“ShapeNet”: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{gomez_shapenet_2025,\n\ttitle = {“{ShapeNet}”: {A} {Shape} {Regression} {Convolutional} {Neural} {Network} {Ensemble} {Applied} to the {Segmentation} of the {Left} {Ventricle} in {Echocardiography}},\n\tvolume = {11},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {2313-433X},\n\tshorttitle = {“{ShapeNet}”},\n\turl = {https://www.mdpi.com/2313-433X/11/5/165},\n\tdoi = {10.3390/jimaging11050165},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2025-10-31},\n\tjournal = {Journal of Imaging},\n\tauthor = {Gómez, Eduardo Galicia and Torres-Robles, Fabián and Perez-Gonzalez, Jorge and Arámbula Cosío, Fernando},\n\tmonth = may,\n\tyear = {2025},\n\tnote = {Publisher: Multidisciplinary Digital Publishing Institute},\n\tpages = {165},\n}\n\n
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\n \n\n \n \n \n \n \n \n Deep-learning-based estimation of left ventricle myocardial strain from echocardiograms with occlusion artifacts.\n \n \n \n \n\n\n \n Romero–Pacheco, A.; Hevia–Montiel, N.; Vazquez, B.; Cosío, F. A.; and Perez–Gonzalez, J.\n\n\n \n\n\n\n Journal of Medical Imaging, 12(5): 054002. September 2025.\n Publisher: SPIE\n\n\n\n
\n\n\n\n \n \n \"Deep-learning-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{romeropacheco_deep-learning-based_2025,\n\ttitle = {Deep-learning-based estimation of left ventricle myocardial strain from echocardiograms with occlusion artifacts},\n\tvolume = {12},\n\tissn = {2329-4302, 2329-4310},\n\turl = {https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-12/issue-5/054002/Deep-learning-based-estimation-of-left-ventricle-myocardial-strain-from/10.1117/1.JMI.12.5.054002.full},\n\tdoi = {10.1117/1.JMI.12.5.054002},\n\tnumber = {5},\n\turldate = {2025-10-31},\n\tjournal = {Journal of Medical Imaging},\n\tauthor = {Romero–Pacheco, Alan and Hevia–Montiel, Nidiyare and Vazquez, Blanca and Cosío, Fernando Arámbula and Perez–Gonzalez, Jorge},\n\tmonth = sep,\n\tyear = {2025},\n\tnote = {Publisher: SPIE},\n\tpages = {054002},\n}\n\n\n
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\n \n\n \n \n \n \n \n \n A hybrid method for fusion cardiac biomarkers and echocardiography videos in the experimental classification of Trypanosoma cruzi infection.\n \n \n \n \n\n\n \n Vazquez, B.; Perez-Gonzalez, J.; and Hevia-Montiel, N.\n\n\n \n\n\n\n BioMedical Engineering OnLine, 24(1): 110. September 2025.\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 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{vazquez_hybrid_2025,\n\ttitle = {A hybrid method for fusion cardiac biomarkers and echocardiography videos in the experimental classification of {Trypanosoma} cruzi infection},\n\tvolume = {24},\n\tissn = {1475-925X},\n\turl = {https://doi.org/10.1186/s12938-025-01446-w},\n\tdoi = {10.1186/s12938-025-01446-w},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2025-10-31},\n\tjournal = {BioMedical Engineering OnLine},\n\tauthor = {Vazquez, Blanca and Perez-Gonzalez, Jorge and Hevia-Montiel, Nidiyare},\n\tmonth = sep,\n\tyear = {2025},\n\tpages = {110},\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Weighted–VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.\n \n \n \n \n\n\n \n Vazquez, B.; Hevia-Montiel, N.; Perez-Gonzalez, J.; and Haro, P.\n\n\n \n\n\n\n PLOS ONE, 20(3): 1-30. 03 2025.\n \n\n\n\n
\n\n\n\n \n \n \"Weighted–VAE: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{vazquez2025,\n    doi = {10.1371/journal.pone.0315843},\n    author = {Vazquez, Blanca and Hevia-Montiel, Nidiyare and Perez-Gonzalez, Jorge and Haro, Paulina},\n    journal = {PLOS ONE},\n    publisher = {Public Library of Science},\n    title = {Weighted–VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection},\n    year = {2025},\n    month = {03},\n    volume = {20},\n    url = {https://doi.org/10.1371/journal.pone.0315843},\n    pages = {1-30},\n    number = {3},\n}\n\n\n
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\n \n\n \n \n \n \n \n Automatic Standard Plane Detection in Fetal Ultrasound Improved by Fine-Tuning.\n \n \n \n\n\n \n Castellanos-Díaz, N. O.; Pérez-González, J.; Arámbula-Cosío, F.; Camargo-Marín, L.; Guzmán-Huerta, M.; Escalante-Ramírez, B.; Olveres-Montiel, J.; García-Ramírez, J.; Medina-Bañuelos, V.; and Valdés-Cristerna, R.\n\n\n \n\n\n\n In Martinez-Licona, F. M.; Ballarin, V. L.; Ibarra-Ramírez, E. A.; Pérez-Buitrago, S. M.; and Berriere, L. R., editor(s), X Latin American Conference on Biomedical Engineering, pages 368–377, Cham, 2025. Springer Nature Switzerland\n \n\n\n\n
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@inproceedings{castellanos-diaz_automatic_2025,\n\taddress = {Cham},\n\ttitle = {Automatic {Standard} {Plane} {Detection} in {Fetal} {Ultrasound} {Improved} by {Fine}-{Tuning}},\n\tisbn = {978-3-031-89514-2},\n\tdoi = {10.1007/978-3-031-89514-2_31},\n\tlanguage = {en},\n\tbooktitle = {X {Latin} {American} {Conference} on {Biomedical} {Engineering}},\n\tpublisher = {Springer Nature Switzerland},\n\tauthor = {Castellanos-Díaz, N. Orlando and Pérez-González, Jorge and Arámbula-Cosío, Fernando and Camargo-Marín, Lisbeth and Guzmán-Huerta, Mario and Escalante-Ramírez, Boris and Olveres-Montiel, Jimena and García-Ramírez, Jesús and Medina-Bañuelos, Verónica and Valdés-Cristerna, Raquel},\n\teditor = {Martinez-Licona, Fabiola M. and Ballarin, Virginia L. and Ibarra-Ramírez, Ernesto A. and Pérez-Buitrago, Sandra M. and Berriere, Luis R.},\n\tyear = {2025},\n\tkeywords = {Convolutional Neural Networks, Echography, Machine Learning, Standard Plane},\n\tpages = {368--377},\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Machine and Deep Learning for the Diagnosis, Prognosis, and Treatment of Cervical Cancer: A Scoping Review.\n \n \n \n \n\n\n \n Vazquez, B.; Rojas-García, M.; Rodríguez-Esquivel, J. I.; Marquez-Acosta, J.; Aranda-Flores, C. E.; Cetina-Pérez, L. d. C.; Soto-López, S.; Estévez-García, J. A.; Bahena-Román, M.; Madrid-Marina, V.; and Torres-Poveda, K.\n\n\n \n\n\n\n Diagnostics, 15(12): 1543. January 2025.\n Publisher: Multidisciplinary Digital Publishing Institute\n\n\n\n
\n\n\n\n \n \n \"MachinePaper\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
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@article{vazquez_machine_2025,\n\ttitle = {Machine and {Deep} {Learning} for the {Diagnosis}, {Prognosis}, and {Treatment} of {Cervical} {Cancer}: {A} {Scoping} {Review}},\n\tvolume = {15},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {2075-4418},\n\tshorttitle = {Machine and {Deep} {Learning} for the {Diagnosis}, {Prognosis}, and {Treatment} of {Cervical} {Cancer}},\n\turl = {https://www.mdpi.com/2075-4418/15/12/1543},\n\tdoi = {10.3390/diagnostics15121543},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2025-10-31},\n\tjournal = {Diagnostics},\n\tauthor = {Vazquez, Blanca and Rojas-García, Mariano and Rodríguez-Esquivel, Jocelyn Isabel and Marquez-Acosta, Janeth and Aranda-Flores, Carlos E. and Cetina-Pérez, Lucely del Carmen and Soto-López, Susana and Estévez-García, Jesús A. and Bahena-Román, Margarita and Madrid-Marina, Vicente and Torres-Poveda, Kirvis},\n\tmonth = jan,\n\tyear = {2025},\n\tnote = {Publisher: Multidisciplinary Digital Publishing Institute},\n\tkeywords = {deep learning, diagnosis, machine learning, prognosis, therapeutics, uterine cervical neoplasms},\n\tpages = {1543},\n}\n\n
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\n \n\n \n \n \n \n \n \n Mangrove semantic segmentation on aerial images.\n \n \n \n \n\n\n \n Arias-Aguilar, J. A.; López-Jimenez, E.; Ramírez-Cárdenas, O. D.; Herrera-Lozada, J. C.; and Hevia-Montiel, N.\n\n\n \n\n\n\n IEEE Latin America Transactions, 22(5): 379–386. Apr. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"MangrovePaper\n  \n \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
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@article{arias_2024, \n\ttitle={Mangrove semantic segmentation on aerial images}, \n\tvolume={22}, \n\turl={https://latamt.ieeer9.org/index.php/transactions/article/view/8557},  \n\tnumber={5}, \n\tjournal={IEEE Latin America Transactions}, \n\tauthor={Arias-Aguilar, Jose Anibal and López-Jimenez, Efrén and Ramírez-Cárdenas, Oscar D. and Herrera-Lozada, J. Carlos and Hevia-Montiel, Nidiyare}, \n\tyear={2024}, \n\tmonth={Apr.}, \n\tpages={379–386} \n}\n\n
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\n \n\n \n \n \n \n \n A U-Net with Statistical Shape Restrictions Applied to the Segmentation of the Left Ventricle in Echocardiographic Images.\n \n \n \n\n\n \n Galicia-Gómez, E.; Torres-Robles, F.; Pérez, J.; Escalante-Ramírez, B.; and Cosío, F. A.\n\n\n \n\n\n\n Revista Mexicana de Ingenieria Biomedica, 44(4): 140–151. 2024.\n \n\n\n\n
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@article{galicia2024u,\n  title={A U-Net with Statistical Shape Restrictions Applied to the Segmentation of the Left Ventricle in Echocardiographic Images},\n  author={Galicia-Gómez, Eduardo and Torres-Robles, Fabían and Pérez, Jorge and Escalante-Ramírez, Boris and Cosío, Fernando Arámbula},\n  journal={Revista Mexicana de Ingenieria Biomedica},\n  volume={44},\n  number={4},\n  pages={140--151},\n  year={2024}\n}\n\n\n
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\n  \n 2023\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n ECG Marker Evaluation for the Machine-Learning-Based Classification of Acute and Chronic Phases of Trypanosoma cruzi Infection in a Murine Model.\n \n \n \n\n\n \n Haro, P.; Hevia-Montiel, N.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n Tropical Medicine and Infectious Disease, 8(3): 157. 2023.\n \n\n\n\n
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@article{haro2023ecg,\n  title={ECG Marker Evaluation for the Machine-Learning-Based Classification of Acute and Chronic Phases of Trypanosoma cruzi Infection in a Murine Model},\n  author={Haro, Paulina and Hevia-Montiel, Nidiyare and Perez-Gonzalez, Jorge},\n  journal={Tropical Medicine and Infectious Disease},\n  volume={8},\n  number={3},\n  pages={157},\n  year={2023},\n  publisher={MDPI}\n}\n\n
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\n \n\n \n \n \n \n \n Towards breastfeeding self-efficacy and postpartum depression estimation based on analysis of free-speech interviews through natural language processing.\n \n \n \n\n\n \n Valdeolivar-Hernandez, L. I.; Quijano, M. E. F.; Echeverria-Arjonilla, J. C.; Perez-Gonzalez, J.; and Piña-Ramirez, O.\n\n\n \n\n\n\n In 18th International Symposium on Medical Information Processing and Analysis, volume 12567, pages 252–261, 2023. SPIE\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{valdeolivar2023towards,\n  title={Towards breastfeeding self-efficacy and postpartum depression estimation based on analysis of free-speech interviews through natural language processing},\n  author={Valdeolivar-Hernandez, Luz Itzel and Quijano, Maria Eugenia Flores and Echeverria-Arjonilla, Juan Carlos and Perez-Gonzalez, Jorge and Pi{\\~n}a-Ramirez, Omar},\n  booktitle={18th International Symposium on Medical Information Processing and Analysis},\n  volume={12567},\n  pages={252--261},\n  year={2023},\n  organization={SPIE}\n}\n\n
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\n \n\n \n \n \n \n \n Mathematical Modelling of Composite Phantoms for the Calibration of Ultrasound Devices.\n \n \n \n\n\n \n Bravo-Castillero, J.; Caballero-Pérez, R. O.; Haro-Álvarez, A. P.; Heredia-López, F.; Hevia-Montiel, N.; del Carmen Jorge, M.; Medina-Esquivel, R.; Molino-Minero-Re, E.; Neme-Castillo, J. A.; Pérez-González, J. L.; and others\n\n\n \n\n\n\n Journal of Applied Research and Technology, 21(2): 154–161. 2023.\n \n\n\n\n
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@article{bravo2023mathematical,\n  title={Mathematical Modelling of Composite Phantoms for the Calibration of Ultrasound Devices},\n  author={Bravo-Castillero, Juli{\\'a}n and Caballero-P{\\'e}rez, Rogelio Oscar and Haro-{\\'A}lvarez, Ana Paulina and Heredia-L{\\'o}pez, Francisco and Hevia-Montiel, Nidiyare and del Carmen Jorge, Mar{\\'\\i}a and Medina-Esquivel, Rub{\\'e}n and Molino-Minero-Re, Erik and Neme-Castillo, Jos{\\'e} Antonio and P{\\'e}rez-Gonz{\\'a}lez, Jorge Luis and others},\n  journal={Journal of Applied Research and Technology},\n  volume={21},\n  number={2},\n  pages={154--161},\n  year={2023}\n}\n\n
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\n \n\n \n \n \n \n \n Deep Learning–Based Segmentation of Trypanosoma cruzi Nests in Histopathological Images.\n \n \n \n\n\n \n Hevia-Montiel, N.; Haro, P.; Guillermo-Cordero, L.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n Electronics, 12(19): 4144. 2023.\n \n\n\n\n
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@article{hevia2023deep,\n  title={Deep Learning--Based Segmentation of Trypanosoma cruzi Nests in Histopathological Images},\n  author={Hevia-Montiel, Nidiyare and Haro, Paulina and Guillermo-Cordero, Leonardo and Perez-Gonzalez, Jorge},\n  journal={Electronics},\n  volume={12},\n  number={19},\n  pages={4144},\n  year={2023},\n  publisher={MDPI}\n}\n\n
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\n \n\n \n \n \n \n \n Estimacion del mapa de anisotropı́a fraccional y difusividad media en materia blanca utilizando transformers.\n \n \n \n\n\n \n Bandala-Alvarez, D.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n Research in Computing Science, 152(8): 209–220. 2023.\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{bandala2023estimacion,\n  title={Estimacion del mapa de anisotrop{\\'\\i}a fraccional y difusividad media en materia blanca utilizando transformers},\n  author={Bandala-Alvarez, Daniel and Perez-Gonzalez, Jorge},\n  journal={Research in Computing Science},\n  volume={152},\n  number={8},\n  pages={209--220},\n  year={2023},\n  publisher={Center for Computing Research of IPN}\n}\n\n
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\n \n\n \n \n \n \n \n Multimodal Early Birth Weight Prediction Using Multiple Kernel Learning.\n \n \n \n\n\n \n Camargo-Marı́n, Lisbeth; Guzmán-Huerta, M.; Piña-Ramirez, O.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n Sensors, 24(1): 2. 2023.\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{camargo2023multimodal,\n  title={Multimodal Early Birth Weight Prediction Using Multiple Kernel Learning},\n  author={Camargo-Mar{\\'\\i}n, Lisbeth and Guzm{\\'a}n-Huerta, Mario and Pi{\\~n}a-Ramirez, Omar and Perez-Gonzalez, Jorge},\n  journal={Sensors},\n  volume={24},\n  number={1},\n  pages={2},\n  year={2023},\n  publisher={MDPI}\n}\n\n
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\n \n\n \n \n \n \n \n Machine learning-based classification of children affected by malnutrition using multimodal sMRI and DTI brain images.\n \n \n \n\n\n \n Garnica, D. C.; Cota-Aguiar, R.; Vaca-Palomares, I.; Fernandez-Ruiz, J.; Hevia-Montiel, N.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n In 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM), pages 1–4, 2023. IEEE\n \n\n\n\n
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@inproceedings{garnica2023machine,\n  title={Machine learning-based classification of children affected by malnutrition using multimodal sMRI and DTI brain images},\n  author={Garnica, Daniel Colin and Cota-Aguiar, Ramon and Vaca-Palomares, Israel and Fernandez-Ruiz, Juan and Hevia-Montiel, Nidiyare and Perez-Gonzalez, Jorge},\n  booktitle={2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM)},\n  pages={1--4},\n  year={2023},\n  organization={IEEE}\n}\n\n
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\n  \n 2022\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Machine Learning-Based Feature Selection and Classification for the Experimental Diagnosis of Trypanosoma cruzi.\n \n \n \n\n\n \n Hevia-Montiel, N.; Perez-Gonzalez, J.; Neme, A.; and Haro, P.\n\n\n \n\n\n\n Electronics, 11(5): 785. 2022.\n \n\n\n\n
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@article{hevia2022machine,\n  title={Machine Learning-Based Feature Selection and Classification for the Experimental Diagnosis of Trypanosoma cruzi},\n  author={Hevia-Montiel, Nidiyare and Perez-Gonzalez, Jorge and Neme, Antonio and Haro, Paulina},\n  journal={Electronics},\n  volume={11},\n  number={5},\n  pages={785},\n  year={2022},\n  publisher={MDPI}\n}\n\n
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\n \n\n \n \n \n \n \n ARACAM: A RGB-D multi-view photogrammetry system for lower limb 3D reconstruction applications.\n \n \n \n\n\n \n Barreto, M. A; Perez-Gonzalez, J.; Herr, H. M; and Huegel, J. C\n\n\n \n\n\n\n Sensors, 22(7): 2443. 2022.\n \n\n\n\n
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@article{barreto2022aracam,\n  title={ARACAM: A RGB-D multi-view photogrammetry system for lower limb 3D reconstruction applications},\n  author={Barreto, Marco A and Perez-Gonzalez, Jorge and Herr, Hugh M and Huegel, Joel C},\n  journal={Sensors},\n  volume={22},\n  number={7},\n  pages={2443},\n  year={2022},\n  publisher={MDPI}\n}\n\n
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\n \n\n \n \n \n \n \n Estimating Echocardiographic Myocardial Strain of Left Ventricle with Deep Learning.\n \n \n \n\n\n \n Romero-Pacheco, A.; Perez-Gonzalez, J.; and Hevia-Montiel, N.\n\n\n \n\n\n\n In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 3891–3894, 2022. IEEE\n \n\n\n\n
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@inproceedings{romero2022estimating,\n  title={Estimating Echocardiographic Myocardial Strain of Left Ventricle with Deep Learning},\n  author={Romero-Pacheco, Alan and Perez-Gonzalez, Jorge and Hevia-Montiel, Nidiyare},\n  booktitle={2022 44th Annual International Conference of the IEEE Engineering in Medicine \\& Biology Society (EMBC)},\n  pages={3891--3894},\n  year={2022},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n The use of conformal lattice metamaterials for relieving stress in lower limb sockets: A numerical and exploratory study.\n \n \n \n\n\n \n Barreto, M. A; Cuan-Urquizo, E.; Perez-Gonzalez, J.; and Huegel, J. C\n\n\n \n\n\n\n Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 236(11): 1635–1645. 2022.\n \n\n\n\n
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@article{barreto2022use,\n  title={The use of conformal lattice metamaterials for relieving stress in lower limb sockets: A numerical and exploratory study},\n  author={Barreto, Marco A and Cuan-Urquizo, Enrique and Perez-Gonzalez, Jorge and Huegel, Joel C},\n  journal={Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine},\n  volume={236},\n  number={11},\n  pages={1635--1645},\n  year={2022},\n  publisher={SAGE Publications Sage UK: London, England}\n}\n\n
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\n \n\n \n \n \n \n \n Morphological Temporal Analysis in Subjects with Alzheimer’s Disease by Brain Graph Descriptors.\n \n \n \n\n\n \n Gonzalez–Meza, L.; Siqueiros–Garcia, J.; Hevia–Montiel, N.; Reyes–Lagos, J. J.; and Perez–Gonzalez, J.\n\n\n \n\n\n\n In Congreso Nacional de Ingenierı́a Biomédica, pages 363–370, 2022. Springer International Publishing Cham\n \n\n\n\n
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@inproceedings{gonzalez2022morphological,\n  title={Morphological Temporal Analysis in Subjects with Alzheimer’s Disease by Brain Graph Descriptors},\n  author={Gonzalez--Meza, Laura and Siqueiros--Garcia, Jesus and Hevia--Montiel, Nidiyare and Reyes--Lagos, Jos{\\'e} Javier and Perez--Gonzalez, Jorge},\n  booktitle={Congreso Nacional de Ingenier{\\'\\i}a Biom{\\'e}dica},\n  pages={363--370},\n  year={2022},\n  organization={Springer International Publishing Cham}\n}\n\n
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\n \n\n \n \n \n \n \n Desired Flight Height of a Drone in Plant Species Counting by Means of Digital Image Processing: Altura de vuelo deseada de un dron en conteo de especies vegetales mediante procesamiento digital de imágenes.\n \n \n \n\n\n \n Garcia-Hernandez, M.; Meza-Espinoza, J.; Hevia-Montiel, N.; and Garcia-Garcia, E X. M.\n\n\n \n\n\n\n Tecnologı́a Educativa Revista CONAIC, 9(3): 25–29. 2022.\n \n\n\n\n
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@article{garcia2022desired,\n  title={Desired Flight Height of a Drone in Plant Species Counting by Means of Digital Image Processing: Altura de vuelo deseada de un dron en conteo de especies vegetales mediante procesamiento digital de im{\\'a}genes},\n  author={Garcia-Hernandez, Martin and Meza-Espinoza, Juan and Hevia-Montiel, Nidiyare and Garcia-Garcia, E Xio Mara},\n  journal={Tecnolog{\\'\\i}a Educativa Revista CONAIC},\n  volume={9},\n  number={3},\n  pages={25--29},\n  year={2022}\n}\n\n
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\n  \n 2021\n \n \n (19)\n \n \n
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\n \n\n \n \n \n \n \n Modelos fenomenológicos aplicados al estudio de la COVID-19 en el estado de Yucatan.\n \n \n \n\n\n \n Mesejo-Chiong, J. A.; Mecıas, A. M.; Bravo-Castillero, J.; Hevia-Montiel, N.; and Perez-Gonzalez, J. L.\n\n\n \n\n\n\n 2021.\n \n\n\n\n
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@Misc{mesejomodelos,\n  title={Modelos fenomenológicos aplicados al estudio de la COVID-19 en el estado de Yucatan},\n  author={Mesejo-Chiong, Jose Alejandro and Mec{\\i}as, Angela Mireya-Le{\\'o}n and Bravo-Castillero, Julian and Hevia-Montiel, Nidiyare and Perez-Gonzalez, Jorge Luis},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Invariant morphological descriptors from otolith shape in environment automatic classification.\n \n \n \n\n\n \n Hevia-Montiel, N.; Perez-Gonzalez, J.; Gallardo-Torres, A.; Badillo-Aleman, M.; and Chiappa-Carrara, X.\n\n\n \n\n\n\n Journal of Applied Ichthyology. 2021.\n \n\n\n\n
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@article{hevia2021invariant,\n  title={Invariant morphological descriptors from otolith shape in environment automatic classification},\n  author={Hevia-Montiel, Nidiyare and Perez-Gonzalez, Jorge and Gallardo-Torres, Alfredo and Badillo-Aleman, Maribel and Chiappa-Carrara, Xavier},\n  journal={Journal of Applied Ichthyology},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Mild cognitive impairment classification using combined structural and diffusion imaging biomarkers.\n \n \n \n\n\n \n Perez-Gonzalez, J.; Jiménez-Ángeles, L.; Saavedra, K. R.; Morales, E. B.; Medina-Bañuelos, V.; Initiative, A. D. N.; and others\n\n\n \n\n\n\n Physics in Medicine & Biology, 66(15): 155010. 2021.\n \n\n\n\n
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@article{perez2021mild,\n  title={Mild cognitive impairment classification using combined structural and diffusion imaging biomarkers},\n  author={Perez-Gonzalez, Jorge and Jim{\\'e}nez-{\\'A}ngeles, Luis and Saavedra, Karla Rojas and Morales, Eduardo Barbar{\\'a} and Medina-Ba{\\~n}uelos, Ver{\\'o}nica and Alzheimer’s Disease Neuroimaging Initiative and others},\n  journal={Physics in Medicine \\& Biology},\n  volume={66},\n  number={15},\n  pages={155010},\n  year={2021},\n  publisher={IOP Publishing}\n}\n\n
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\n \n\n \n \n \n \n \n Aprendizaje Computacional Para La Estimación Automática Del Peso Al Nacimiento Usando Variables Multimodales Materno-Fetales.\n \n \n \n\n\n \n Acevedo, M. M.; Paz, J S.; and Gonzélez, J P.\n\n\n \n\n\n\n In Memorias del Congreso Nacional de Ingenierı́a Biomédica, volume 8, pages 61–64, 2021. \n \n\n\n\n
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@inproceedings{acevedo2021aprendizaje,\n  title={Aprendizaje Computacional Para La Estimaci{\\'o}n Autom{\\'a}tica Del Peso Al Nacimiento Usando Variables Multimodales Materno-Fetales},\n  author={Acevedo, MG Mart{\\'\\i}nez and Paz, J S{\\'a}nchez and Gonz{\\'e}lez, J P{\\'e}rez},\n  booktitle={Memorias del Congreso Nacional de Ingenier{\\'\\i}a Biom{\\'e}dica},\n  volume={8},\n  number={1},\n  pages={61--64},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Clasificación Automática de Sujetos con Deterioro Cognitivo Leve mediante la Caracterización Fractal 3D en Imágenes Cerebrales de Resonancia Magnética.\n \n \n \n\n\n \n Solis-Poot, J; Sanchez-Paz, J; and Perez-Gonzalez, J\n\n\n \n\n\n\n In Memorias del Congreso Nacional de Ingenierı́a Biomédica, volume 8, pages 53–56, 2021. \n \n\n\n\n
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@inproceedings{solis2021clasificacion,\n  title={Clasificaci{\\'o}n Autom{\\'a}tica de Sujetos con Deterioro Cognitivo Leve mediante la Caracterizaci{\\'o}n Fractal 3D en Im{\\'a}genes Cerebrales de Resonancia Magn{\\'e}tica},\n  author={Solis-Poot, J and Sanchez-Paz, J and Perez-Gonzalez, J},\n  booktitle={Memorias del Congreso Nacional de Ingenier{\\'\\i}a Biom{\\'e}dica},\n  volume={8},\n  number={1},\n  pages={53--56},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Machine Learning based Classification of Local Robotic Surgical Skills in a Training Tasks Set.\n \n \n \n\n\n \n Juarez-Villalobos, L.; Hevia-Montiel, N; and Pérez-Gonzalez, J.\n\n\n \n\n\n\n In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 4596–4599, 2021. IEEE\n \n\n\n\n
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@inproceedings{juarez2021machine,\n  title={Machine Learning based Classification of Local Robotic Surgical Skills in a Training Tasks Set},\n  author={Juarez-Villalobos, Luis and Hevia-Montiel, N and P{\\'e}rez-Gonzalez, Jorge},\n  booktitle={2021 43rd Annual International Conference of the IEEE Engineering in Medicine \\& Biology Society (EMBC)},\n  pages={4596--4599},\n  year={2021},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Convolutional Neural Networks for Chagas’ Parasite Detection in Histopathological Images.\n \n \n \n\n\n \n Sanchez-Patiño, N.; Toriz-Vazquez, A.; Hevia-Montiel, N; and Perez-Gonzalez, J\n\n\n \n\n\n\n In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pages 2732–2735, 2021. IEEE\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{sanchez2021convolutional,\n  title={Convolutional Neural Networks for Chagas’ Parasite Detection in Histopathological Images},\n  author={Sanchez-Pati{\\~n}o, Natalia and Toriz-Vazquez, Alfonso and Hevia-Montiel, N and Perez-Gonzalez, J},\n  booktitle={2021 43rd Annual International Conference of the IEEE Engineering in Medicine \\& Biology Society (EMBC)},\n  pages={2732--2735},\n  year={2021},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n PET-MRI analysis to identify metabolic changes during Parkinson's disease.\n \n \n \n\n\n \n Vargas, A V.; Abad, B M.; Cristerna, R V.; Arredondo, C C.; Palomeque, C A.; Rotenberg, N K.; Medina-Bañuelos, V; and Perez-Gonzalez Sr, J\n\n\n \n\n\n\n In 17th International Symposium on Medical Information Processing and Analysis, volume 12088, pages 236–242, 2021. SPIE\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{vargas2021pet,\n  title={PET-MRI analysis to identify metabolic changes during Parkinson's disease},\n  author={Vargas, A Valdivia and Abad, B Moreno and Cristerna, R Vald{\\'e}s and Arredondo, C Carde{\\~n}a and Palomeque, C Aguilar and Rotenberg, N Kerik and Medina-Ba{\\~n}uelos, V and Perez-Gonzalez Sr, J},\n  booktitle={17th International Symposium on Medical Information Processing and Analysis},\n  volume={12088},\n  pages={236--242},\n  year={2021},\n  organization={SPIE}\n}\n\n
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\n \n\n \n \n \n \n \n CARACTERÍSTICAS MORFOMÉTRICAS A PARTIR DE IRM PARA LA CARACTERIZACIÓNENTRE NIÑOS CON Y SIN DESNUTRICIÓN.\n \n \n \n\n\n \n Aguiar, R. D. C.; Hevia-Montiel, N.; Palomares, I. V.; Perez-Gonzalez, J.; and Ruiz, J. F.\n\n\n \n\n\n\n 2021.\n \n\n\n\n
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@Misc{aguiarcaracteristicas,\n  title={CARACTER{\\'I}STICAS MORFOM{\\'E}TRICAS A PARTIR DE IRM PARA LA CARACTERIZACI{\\'O}NENTRE NI{\\~N}OS CON Y SIN DESNUTRICI{\\'O}N},\n  author={Aguiar, Ram{\\'o}n Daniel Cota and Hevia-Montiel, Nidiyare and Palomares, Israel Vaca and Perez-Gonzalez, Jorge and Ruiz, Juan Fern{\\'a}ndez},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Detección automática de señas dactilológicas por aprendizaje profundo.\n \n \n \n\n\n \n Aguiar, R. D. C.; Montiel, N. H.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n Revista Aristas, 8(16): 161–166. 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
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@article{aguiar2021deteccion,\n  title={Detecci{\\'o}n autom{\\'a}tica de se{\\~n}as dactilol{\\'o}gicas por aprendizaje profundo},\n  author={Aguiar, Ram{\\'o}n Daniel Cota and Montiel, Nidiyare Hevia and Perez-Gonzalez, Jorge},\n  journal={Revista Aristas},\n  volume={8},\n  number={16},\n  pages={161--166},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Detección de la frecuencia cardiaca por técnicas de balistocardiografı́a y visión computacional.\n \n \n \n\n\n \n Peña, J. U. L.; Montiel, N. H.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n Revista Aristas, 8(16): 174–180. 2021.\n \n\n\n\n
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@article{pena2021deteccion,\n  title={Detecci{\\'o}n de la frecuencia cardiaca por t{\\'e}cnicas de balistocardiograf{\\'\\i}a y visi{\\'o}n computacional.},\n  author={Pe{\\~n}a, Juan Uriel Legaria and Montiel, Nidiyare Hevia and Perez-Gonzalez, Jorge},\n  journal={Revista Aristas},\n  volume={8},\n  number={16},\n  pages={174--180},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Aprendizaje Computacional para Análisis de Imágenes de Ultrasonido Médico.\n \n \n \n\n\n \n Cosı́o, F Arámbula; Robles, F T.; Velásquez-Rodrı́guez, GAR; Gómez, E G.; Escalante-Ramirez, B; Olveres, J; Perez-Gonzalez; Bañuelos, V M.; Marı́n, L Camargo; and Huerta, M G.\n\n\n \n\n\n\n Tecnologı́a e Innovación en Educación Superior, (4): 1–14. 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
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@article{cosio2021aprendizaje,\n  title={Aprendizaje Computacional para An{\\'a}lisis de Im{\\'a}genes de Ultrasonido M{\\'e}dico},\n  author={Cos{\\'\\i}o, F Ar{\\'a}mbula and Robles, F Torres and Vel{\\'a}squez-Rodr{\\'\\i}guez, GAR and G{\\'o}mez, E Galicia and Escalante-Ramirez, B and Olveres, J and Perez-Gonzalez and Ba{\\~n}uelos, V Medina and Mar{\\'\\i}n, L Camargo and Huerta, M Guzm{\\'a}n},\n  journal={Tecnolog{\\'\\i}a e Innovaci{\\'o}n en Educaci{\\'o}n Superior},\n  number={4},\n  pages={1--14},\n  year={2021},\n  publisher={Direcci{\\'o}n General de C{\\'o}mputo y de Tecnolog{\\'\\i}as de Informaci{\\'o}n y Comunicaci{\\'o}n~…}\n}\n\n
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\n \n\n \n \n \n \n \n Aplicaciones y potencial de las técnicas de diagnóstico por imagen en la investigación biomédica de la enfermedad de Chagas.\n \n \n \n\n\n \n Haro, P.; Hevia-Montiel, N.; López-Blanco, X.; Rosado-Vallado, M.; LópezValencia, G.; and Waleckx, E.\n\n\n \n\n\n\n Revista Biomédica, 32(1): 45–54. 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
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@article{haro2021aplicaciones,\n  title={Aplicaciones y potencial de las t{\\'e}cnicas de diagn{\\'o}stico por imagen en la investigaci{\\'o}n biom{\\'e}dica de la enfermedad de Chagas},\n  author={Haro, Paulina and Hevia-Montiel, Nidiyare and L{\\'o}pez-Blanco, Xenia and Rosado-Vallado, Miguel and L{\\'o}pezValencia, Gilberto and Waleckx, Etienne},\n  journal={Revista Biom{\\'e}dica},\n  volume={32},\n  number={1},\n  pages={45--54},\n  year={2021},\n  publisher={Centro de investigaciones Regionales Dr. Hideyo Noguchi Universidad Aut{\\'o}noma~…}\n}\n\n
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\n \n\n \n \n \n \n \n Usefulness and potential of diagnostic imaging techniques in Chagas disease biomedical research.\n \n \n \n\n\n \n Haro, P.; Hevia-Montiel, N.; López-Blanco, X.; Rosado-Vallado, M.; López-Valencia, G.; and Waleckx, E.\n\n\n \n\n\n\n Revista Biomédica, 32(1): 45–54. 2021.\n \n\n\n\n
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@article{haro2021usefulness,\n  title={Usefulness and potential of diagnostic imaging techniques in Chagas disease biomedical research},\n  author={Haro, Paulina and Hevia-Montiel, Nidiyare and L{\\'o}pez-Blanco, Xenia and Rosado-Vallado, Miguel and L{\\'o}pez-Valencia, Gilberto and Waleckx, Etienne},\n  journal={Revista Biom{\\'e}dica},\n  volume={32},\n  number={1},\n  pages={45--54},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Artery/Vein Classification of Retinal Vasculature based on Cellular Automata.\n \n \n \n\n\n \n Aranda-Martinez, C.; Hevia-Montiel, N.; Rauscher, F. G; and Martinez-Perez, M E.\n\n\n \n\n\n\n In 2021 Mexican International Conference on Computer Science (ENC), pages 1–8, 2021. IEEE\n \n\n\n\n
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@inproceedings{aranda2021artery,\n  title={Artery/Vein Classification of Retinal Vasculature based on Cellular Automata},\n  author={Aranda-Martinez, Carlos and Hevia-Montiel, Nidiyare and Rauscher, Franziska G and Martinez-Perez, M Elena},\n  booktitle={2021 Mexican International Conference on Computer Science (ENC)},\n  pages={1--8},\n  year={2021},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Análisis de Textura y Aprendizaje Computacional a partir de Microfotografı́a Chagásica.\n \n \n \n\n\n \n Sánchez, E. J. R.; Curmina, V.; and Hevia-Montiel, N.\n\n\n \n\n\n\n In Memorias del Congreso Nacional de Ingenierı́a Biomédica, volume 8, 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
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@inproceedings{sanchez2021analisis,\n  title={An{\\'a}lisis de Textura y Aprendizaje Computacional a partir de Microfotograf{\\'\\i}a Chag{\\'a}sica},\n  author={S{\\'a}nchez, Eduardo Jes{\\'u}s Rosado and Curmina, V{\\'\\i}ctor Sandoval and Hevia-Montiel, Nidiyare},\n  booktitle={Memorias del Congreso Nacional de Ingenier{\\'\\i}a Biom{\\'e}dica},\n  volume={8},\n  number={1},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Las anomalías: ¿Qué son?, ¿Dónde surgen?, ¿Cómo detectarlas?.\n \n \n \n\n\n \n Nidiyare Hevia Montiel, S. M.\n\n\n \n\n\n\n TiES Revista de Tecnología e Innovación en Educación Superior, 4(1): 1–11. 2021.\n \n\n\n\n
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@article{nidiyare2021anomalias,\n  title={Las anomalías: ¿Qué son?, ¿Dónde surgen?, ¿Cómo detectarlas?},\n  author={Nidiyare Hevia Montiel, Sergio Mota, Antonio Neme},\n  journal={TiES Revista de Tecnología e Innovación en Educación Superior},\n  volume={4},\n  number={1},\n  pages={1--11},\n  year={2021},\n  publisher={DGTIC - UNAM}\n}\n\n
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\n \n\n \n \n \n \n \n Registro de Nubes de Puntos 2D: Comparación entre Métodos Iterativos y una Red Neuronal Artificial.\n \n \n \n\n\n \n Solís, D. M.; Martinez, H. A.; Toranzo, Y. F.; Gonzalez, M. B.; Castillero, J. B.; Hevia-Montiel, N.; and Perez-Gonzalez, J.\n\n\n \n\n\n\n Revista Aristas: Ciencia Básica y Aplicada, 8(16): 301–306. 2021.\n \n\n\n\n
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@article{solis2021registro,\n  title={Registro  de  Nubes  de  Puntos  2D:  Comparación  entre  Métodos  Iterativos  y  una  Red  Neuronal  Artificial},\n  author={Solís, Dennis Mendoza and Martinez, Hector Aranda and Toranzo, Yadira Fleitas and Gonzalez, Marco Barreto and Castillero, Julián Bravo and Hevia-Montiel, Nidiyare and Perez-Gonzalez, Jorge},\n  journal={Revista Aristas: Ciencia Básica y Aplicada},\n  volume={8},\n  number={16},\n  pages={301--306},\n  year={2021},\n  publisher={Universidad Aut{\\'o}noma de Baja California}\n}\n\n
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\n \n\n \n \n \n \n \n Sistema prototipo de monitoreo subacuático automático de peces por visión estereoscópica y aprendizaje profundo.\n \n \n \n\n\n \n Aranda-Martınez, H. C.; and Hevia-Montiel, N.\n\n\n \n\n\n\n Research in Computing Science, 150(6): 77-90. 2021.\n \n\n\n\n
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@article{arandasistema,\n  title={Sistema prototipo de monitoreo subacu{\\'a}tico autom{\\'a}tico de peces por visi{\\'o}n estereosc{\\'o}pica y aprendizaje profundo},\n  author={Aranda-Mart{\\i}nez, H{\\'e}ctor Carlos and Hevia-Montiel, Nidiyare},\n  journal ={Research in Computing Science},\n  volume={150},\n  number={6},\n  pages={77-90},\n  year={2021}\n  \n}\n\n
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\n  \n 2020\n \n \n (12)\n \n \n
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\n \n\n \n \n \n \n \n Early prediction of weight at birth using support vector regression.\n \n \n \n\n\n \n Campos Trujillo, O.; Perez-Gonzalez, J.; and Medina-Bañuelos, V.\n\n\n \n\n\n\n In VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering: Proceedings of CLAIB-CNIB 2019, October 2-5, 2019, Cancún, México, pages 37–41, 2020. Springer International Publishing\n \n\n\n\n
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@inproceedings{campos2020early,\n  title={Early prediction of weight at birth using support vector regression},\n  author={Campos Trujillo, Oliver and Perez-Gonzalez, Jorge and Medina-Ba{\\~n}uelos, Ver{\\'o}nica},\n  booktitle={VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering: Proceedings of CLAIB-CNIB 2019, October 2-5, 2019, Canc{\\'u}n, M{\\'e}xico},\n  pages={37--41},\n  year={2020},\n  organization={Springer International Publishing}\n}\n\n
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\n \n\n \n \n \n \n \n Retraining random forest algorithm for lower limb prosthesis tracking using an RGB-D camera.\n \n \n \n\n\n \n Perez-Gonzalez, J.; Carillo-Bermejo, A.; Hevia-Montiel, N.; and Huegel, J. C\n\n\n \n\n\n\n In 15th International Symposium on Medical Information Processing and Analysis, volume 11330, pages 279–285, 2020. SPIE\n \n\n\n\n
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@inproceedings{perez2020retraining,\n  title={Retraining random forest algorithm for lower limb prosthesis tracking using an RGB-D camera},\n  author={Perez-Gonzalez, Jorge and Carillo-Bermejo, Angel and Hevia-Montiel, Nidiyare and Huegel, Joel C},\n  booktitle={15th International Symposium on Medical Information Processing and Analysis},\n  volume={11330},\n  pages={279--285},\n  year={2020},\n  organization={SPIE}\n}\n\n
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\n \n\n \n \n \n \n \n Slope-chain-code-based characterization of Trypanosoma cruzi in blood smear images.\n \n \n \n\n\n \n Carrillo-Bermejo, A.; Hevia-Montiel, N.; Bribiesca, E.; Haro, P.; Rosado-Vallado, M.; Gonzalez-Mejia, E.; and Perez-Gonzalez, J\n\n\n \n\n\n\n In 15th International Symposium on Medical Information Processing and Analysis, volume 11330, pages 262–271, 2020. SPIE\n \n\n\n\n
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@inproceedings{carrillo2020slope,\n  title={Slope-chain-code-based characterization of Trypanosoma cruzi in blood smear images},\n  author={Carrillo-Bermejo, Angel and Hevia-Montiel, Nidiyare and Bribiesca, Ernesto and Haro, Paulina and Rosado-Vallado, Miguel and Gonzalez-Mejia, Emilio and Perez-Gonzalez, J},\n  booktitle={15th International Symposium on Medical Information Processing and Analysis},\n  volume={11330},\n  pages={262--271},\n  year={2020},\n  organization={SPIE}\n}\n\n
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\n \n\n \n \n \n \n \n Probabilistic learning coherent point drift for 3D ultrasound fetal head registration.\n \n \n \n\n\n \n Perez–Gonzalez, J.; Arámbula Cosío, F.; Huegel, J. C; and Medina-Banuelos, V.\n\n\n \n\n\n\n Computational and Mathematical Methods in Medicine, 2020. 2020.\n \n\n\n\n
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@article{perez2020probabilistic,\n  title={Probabilistic learning coherent point drift for 3D ultrasound fetal head registration},\n  author={Perez--Gonzalez, Jorge and Arámbula Cosío, Fernando and Huegel, Joel C and Medina-Banuelos, Verónica},\n  journal={Computational and Mathematical Methods in Medicine},\n  volume={2020},\n  year={2020},\n  publisher={Hindawi}\n}\n\n
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\n \n\n \n \n \n \n \n Evaluation of brain tortuosity measurement for the automatic multimodal classification of subjects with Alzheimer’s disease.\n \n \n \n\n\n \n Barbará-Morales, E.; Pérez-González, J.; Rojas-Saavedra, K. C; and Medina-Banuelos, V.\n\n\n \n\n\n\n Computational Intelligence and Neuroscience, 2020. 2020.\n \n\n\n\n
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@article{barbara2020evaluation,\n  title={Evaluation of brain tortuosity measurement for the automatic multimodal classification of subjects with Alzheimer’s disease},\n  author={Barbará-Morales, Eduardo and Pérez-González, Jorge and Rojas-Saavedra, Karla C and Medina-Banuelos, Veronica},\n  journal={Computational Intelligence and Neuroscience},\n  volume={2020},\n  year={2020},\n  publisher={Hindawi}\n}\n\n
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\n \n\n \n \n \n \n \n Non-static object reconstruction system based on multiple RGB-D cameras.\n \n \n \n\n\n \n Barreto, M. A; Huegel, J. C; Fuentes, R. Q; and Perez-Gonzalez, J.\n\n\n \n\n\n\n In Twelfth International Conference on Machine Vision (ICMV 2019), volume 11433, pages 613–620, 2020. SPIE\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{barreto2020non,\n  title={Non-static object reconstruction system based on multiple RGB-D cameras},\n  author={Barreto, Marco A and Huegel, Joel C and Fuentes, Rita Q and Perez-Gonzalez, Jorge},\n  booktitle={Twelfth International Conference on Machine Vision (ICMV 2019)},\n  volume={11433},\n  pages={613--620},\n  year={2020},\n  organization={SPIE}\n}\n\n
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\n \n\n \n \n \n \n \n Modelo SIRD simplificado con tasas dependientes del tiempo: Estudio de la evoluci on del COVID-19 en el Estado de Yucatan.\n \n \n \n\n\n \n Bravo-Castillero, J.; Pérez-González, J. L.; Hevia-Montiel, N.; and others\n\n\n \n\n\n\n 2020.\n \n\n\n\n
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@Misc{bravomodelo,\n  title={Modelo SIRD simplificado con tasas dependientes del tiempo: Estudio de la evoluci on del COVID-19 en el Estado de Yucatan},\n  author={Bravo-Castillero, Juli{\\'a}n and P{\\'e}rez-Gonz{\\'a}lez, Jorge Luis and Hevia-Montiel, Nidiyare and others},\n  year={2020}\n}\n\n
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\n \n\n \n \n \n \n \n Deep learning spatial compounding from multiple fetal head ultrasound acquisitions.\n \n \n \n\n\n \n Perez-Gonzalez, J.; Hevia Montiel, N.; and Bañuelos, V. M.\n\n\n \n\n\n\n In Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings 1, pages 305–314, 2020. Springer International Publishing\n \n\n\n\n
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@inproceedings{perez2020deep,\n  title={Deep learning spatial compounding from multiple fetal head ultrasound acquisitions},\n  author={Perez-Gonzalez, Jorge and Hevia Montiel, Nidiyare and Ba{\\~n}uelos, Ver{\\'o}nica Medina},\n  booktitle={Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings 1},\n  pages={305--314},\n  year={2020},\n  organization={Springer International Publishing}\n}\n\n
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\n \n\n \n \n \n \n \n Comparación morfológica de subestructuras cerebrales en pacientes con enfermedad de parkinson y sujetos control usando imágenes de resonancia magnética.\n \n \n \n\n\n \n Abad, B M.; Vargas, A V.; Arredondo, C C.; Palomeque, C A.; Rotenberg, N K.; Hernández, H M.; Bañuelos, V M.; Cristerna, R V.; and González, J P.\n\n\n \n\n\n\n In Memorias del Congreso Nacional de Ingenierı́a Biomédica, volume 7, pages 77–84, 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{abad2020comparacion,\n  title={Comparaci{\\'o}n morfol{\\'o}gica de subestructuras cerebrales en pacientes con enfermedad de parkinson y sujetos control usando im{\\'a}genes de resonancia magn{\\'e}tica},\n  author={Abad, B Moreno and Vargas, A Valdivia and Arredondo, C Carde{\\~n}a and Palomeque, C Aguilar and Rotenberg, N Kerik and Hern{\\'a}ndez, H Mart{\\'\\i}nez and Ba{\\~n}uelos, V Medina and Cristerna, R Vald{\\'e}s and Gonz{\\'a}lez, J P{\\'e}rez},\n  booktitle={Memorias del Congreso Nacional de Ingenier{\\'\\i}a Biom{\\'e}dica},\n  volume={7},\n  number={1},\n  pages={77--84},\n  year={2020}\n}\n\n
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\n \n\n \n \n \n \n \n Clasificación Automática de Sujetos con Alzheimer y Deterioro Cognitivo Leve Mediante la Extracción de Caracterı́sticas de Deformación Cerebral.\n \n \n \n\n\n \n Garcı́a, C Azamar; Cristerna, R V.; and González, J P.\n\n\n \n\n\n\n In Memorias del Congreso Nacional de Ingenierı́a Biomédica, volume 7, pages 109–116, 2020. \n \n\n\n\n
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@inproceedings{garcia2020clasificacion,\n  title={Clasificaci{\\'o}n Autom{\\'a}tica de Sujetos con Alzheimer y Deterioro Cognitivo Leve Mediante la Extracci{\\'o}n de Caracter{\\'\\i}sticas de Deformaci{\\'o}n Cerebral},\n  author={Garc{\\'\\i}a, C Azamar and Cristerna, R Vald{\\'e}s and Gonz{\\'a}lez, J P{\\'e}rez},\n  booktitle={Memorias del Congreso Nacional de Ingenier{\\'\\i}a Biom{\\'e}dica},\n  volume={7},\n  number={1},\n  pages={109--116},\n  year={2020}\n}\n\n
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\n \n\n \n \n \n \n \n Segmentation of Echocardiographic Images in Murine Model of Chagas Disease.\n \n \n \n\n\n \n Viana-Camara, R.; Brito-Loeza, C.; Martin-Gonzalez, A.; and Hevia-Montiel, N.\n\n\n \n\n\n\n In Intelligent Computing Systems: Third International Symposium, ISICS 2020, Sharjah, United Arab Emirates, March 18–19, 2020, Proceedings 3, pages 132–142, 2020. Springer International Publishing\n \n\n\n\n
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@inproceedings{viana2020segmentation,\n  title={Segmentation of Echocardiographic Images in Murine Model of Chagas Disease},\n  author={Viana-Camara, Rafael and Brito-Loeza, Carlos and Martin-Gonzalez, Anabel and Hevia-Montiel, Nidiyare},\n  booktitle={Intelligent Computing Systems: Third International Symposium, ISICS 2020, Sharjah, United Arab Emirates, March 18--19, 2020, Proceedings 3},\n  pages={132--142},\n  year={2020},\n  organization={Springer International Publishing}\n}\n\n
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\n \n\n \n \n \n \n \n Modelado matematico de la evoluci on de covid-19 mediante funciones tipo Gompertz.\n \n \n \n\n\n \n Trevino, C; Cajas, J.; Castillero, J. B.; Hevia-Montiel, N.; Luis, J.; Pérez-González, M. d. C. J.; and Jorge, Y. C. P.\n\n\n \n\n\n\n 2020.\n \n\n\n\n
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@Misc{trevinomodelado,\n  title={Modelado matematico de la evoluci on de covid-19 mediante funciones tipo Gompertz},\n  author={Trevino, C and Cajas, JC and Castillero, Juli{\\'a}n Bravo and Hevia-Montiel, Nidiyare and Luis, Jorge and P{\\'e}rez-Gonz{\\'a}lez, Mar{\\i}a del Carmen Jorge and Jorge, Yuriria Cort{\\'e}s Poza},\n  year={2020}\n}\n\n
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\n  \n 2019\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Automatic classification of Alzheimer’s disease based on CPD brain point cloud registration for feature extraction.\n \n \n \n\n\n \n Perez–Gonzalez, J.; Azamar, C.; and Piña–Ramirez, O.\n\n\n \n\n\n\n In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 812–815, 2019. IEEE\n \n\n\n\n
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@inproceedings{perez2019automatic,\n  title={Automatic classification of Alzheimer’s disease based on CPD brain point cloud registration for feature extraction},\n  author={Perez--Gonzalez, Jorge and Azamar, Cristian and Pi{\\~n}a--Ramirez, Omar},\n  booktitle={2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},\n  pages={812--815},\n  year={2019},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Deep learning point cloud registration based on distance features.\n \n \n \n\n\n \n Perez-Gonzalez, J.; Luna-Madrigal, F.; and Piña-Ramirez, O.\n\n\n \n\n\n\n IEEE Latin America Transactions, 17(12): 2053–2060. 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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@article{perez2019deep,\n  title={Deep learning point cloud registration based on distance features},\n  author={Perez-Gonzalez, Jorge and Luna-Madrigal, Fernando and Pi{\\~n}a-Ramirez, Omar},\n  journal={IEEE Latin America Transactions},\n  volume={17},\n  number={12},\n  pages={2053--2060},\n  year={2019},\n  publisher={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n A chain code for representing high definition contour shapes.\n \n \n \n\n\n \n Bribiesca, E.; Bribiesca-Contreras, F.; Carrillo-Bermejo, Á.; Bribiesca-Correa, G.; and Hevia-Montiel, N.\n\n\n \n\n\n\n Journal of Visual Communication and Image Representation, 61: 93–104. 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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@article{bribiesca2019chain,\n  title={A chain code for representing high definition contour shapes},\n  author={Bribiesca, Ernesto and Bribiesca-Contreras, Fernanda and Carrillo-Bermejo, {\\'A}ngel and Bribiesca-Correa, Graciela and Hevia-Montiel, Nidiyare},\n  journal={Journal of Visual Communication and Image Representation},\n  volume={61},\n  pages={93--104},\n  year={2019},\n  publisher={Academic Press}\n}\n\n
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\n \n\n \n \n \n \n \n Caracterı́sticas de textura para la clasificación de lesiones cerebrales por bosques aleatorios.\n \n \n \n\n\n \n Navarrete-Baduy, L.; Gonzalez-Mejia, E.; Carrillo-Bermejo, A.; Hevia-Montiel, N.; Hernandez-Lopez, F. J; and Gutierrez-Alvarado, R.\n\n\n \n\n\n\n In 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{navarretecaracteristicas,\n  title={Caracter{\\'\\i}sticas de textura para la clasificaci{\\'o}n de lesiones cerebrales por bosques aleatorios},\n  author={Navarrete-Baduy, Luis and Gonzalez-Mejia, Emilio and Carrillo-Bermejo, Angel and Hevia-Montiel, Nidiyare and Hernandez-Lopez, Francisco J and Gutierrez-Alvarado, Ramon},\n  year={2019},\n  journal ={In XXI Reunión de neuroimagen},\n}\n\n
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\n \n\n \n \n \n \n \n Supervised Primary Brain Tumor Classification.\n \n \n \n\n\n \n Carrillo-Bermejo, A.; Montiel, N. H.; Bribiesca, E.; Hernandez-Lopez, F. J; and Navarrete-Baduy, L.\n\n\n \n\n\n\n 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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@Misc{carrillosupervised,\n  title={Supervised Primary Brain Tumor Classification},\n  author={Carrillo-Bermejo, Angel and Montiel, Nidiyare Hevia and Bribiesca, Ernesto and Hernandez-Lopez, Francisco J and Navarrete-Baduy, Luis},\n  year={2019}\n}\n\n
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