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\n  \n 2024\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Quantum Algorithm for Signal Denoising.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Kouamé, D.; and Georgeot\n\n\n \n\n\n\n IEEE Signal Processing Letters, 31: 156-160. 2024.\n \n\n\n\n
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@Article{ DuBaKoGe2023.1,\r\nauthor = {Dutta, Sayantan and Basarab, Adrian and Kouamé, Denis and Georgeot},\r\ntitle = "{Quantum Algorithm for Signal Denoising}",\r\njournal = {IEEE Signal Processing Letters},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2024},\r\nvolume = {31},\r\npages = {156-160},\r\nlanguage = {anglais},\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Efficient stratified 3D scatterer sampling for freehand ultrasound simulation.\n \n \n \n\n\n \n Gaits, F.; Mellado, N.; Bouyjou, G.; Garcia, D.; and Basarab, A.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 71(1): 127-140. 2024.\n \n\n\n\n
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@Article{ GoBaRi2022.1,\r\nauthor = {Gaits, François and Mellado, Nicolas and Bouyjou, Gauthier and Garcia, Damien and Basarab, Adrian},\r\ntitle = "{Efficient stratified 3D scatterer sampling for freehand ultrasound simulation}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2024},\r\nvolume={71},\r\nnumber={1},\r\npages={127-140},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n  \n 2023\n \n \n (17)\n \n \n
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\n \n\n \n \n \n \n \n \n MSE * * : Multi-modal semantic embeddings for datasets with several positive matchings.\n \n \n \n \n\n\n \n Huteau, J.; Basarab, A.; and Dupin de Saint Cyr - Bannay, F.\n\n\n \n\n\n\n In Tiwari, S.; Rodriguez, F. O.; Abbes, S. B.; Usip, P. U.; and Hantach, R., editor(s), Semantic AI in Knowledge Graphs, pages 91-110. Taylor & Francis Group, August 2023.\n \n\n\n\n
\n\n\n\n \n \n \"MSEPaper\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{HuBaDu2023.1,\r\n  TITLE = {{MSE * * : Multi-modal semantic embeddings for datasets with several positive matchings}},\r\n  AUTHOR = {Huteau, Jérémie and Basarab, Adrian and Dupin de Saint Cyr - Bannay, Florence},\r\n  URL = {https://hal.science/hal-04166570},\r\n  BOOKTITLE = {{Semantic AI in Knowledge Graphs}},\r\n  EDITOR = {Sanju Tiwari and Fernando Ortiz Rodriguez and Sarra Ben Abbes and Patience Usoro Usip and Rim Hantach},\r\n  PUBLISHER = {{Taylor \\& Francis Group}},\r\n  PAGES = {91-110},\r\n  YEAR = {2023},\r\n  MONTH = Aug,\r\n  DOI = {10.1201/9781003313267-4},\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Fusion of ultrasound and magnetic resonance images for endometriosis diagnosis: a non-parametric approach.\n \n \n \n\n\n \n El Bennioui, Y.; Bruguier, A.; Vidal, F.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2023), Costa Rica, 10/12/2023-13/12/2023, 2023. \n \n\n\n\n
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@InProceedings{ BeBrViBaTo2023.1,\r\nauthor = {El Bennioui, Youssra and Bruguier, Alexandre and Vidal, Fabien and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Fusion of ultrasound and magnetic resonance images for endometriosis diagnosis: a non-parametric approach}",\r\nbooktitle = "{IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2023), Costa Rica, 10/12/2023-13/12/2023}",\r\nyear = {2023},\r\nto_appear = {to appear},\r\npages = {}\r\n}\r\n\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Identification de microbulles par la théorie de la décision pour l’imagerie par localisation ultrasonore.\n \n \n \n\n\n \n Corazza, A.; Muleki-Seya, P.; Basarab, A.; and Nicolas, B.\n\n\n \n\n\n\n In Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2023), Grenoble, 28/08/2023-01/09/2023, 2023. \n \n\n\n\n
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@InProceedings{ CoMuBaNi2023.1,\r\nauthor = {Corazza, Alexandre and Muleki-Seya, Pauline and Basarab, Adrian and Nicolas, Barbara},\r\ntitle = "{Identification de microbulles par la théorie de la décision pour l’imagerie par localisation ultrasonore}",\r\nbooktitle = "{Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2023), Grenoble, 28/08/2023-01/09/2023}",\r\nyear = {2023},\r\nlanguage = {francais}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Recalage et fusion d’images échographiques et par résonance magnétique au service de la chirurgie de l’endométriose.\n \n \n \n\n\n \n El Bennioui, Y.; El Mansouri, O.; Vidal, F.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2023), Grenoble, 28/08/2023-01/09/2023, 2023. \n \n\n\n\n
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@InProceedings{ BeMaViBaTo2023.1,\r\nauthor = {El Bennioui, Youssra and El Mansouri, Oumaima and Vidal, Fabien and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Recalage et fusion d’images échographiques et par résonance magnétique au service de la chirurgie de l’endométriose}",\r\nbooktitle = "{Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2023), Grenoble, 28/08/2023-01/09/2023}",\r\nyear = {2023},\r\nlanguage = {francais}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Reducing the Degrees of Freedom for Simultaneous Estimation of Ultrasonic Attenuation and Backscatter Coefficients: Application to Liver Steatosis Detection.\n \n \n \n\n\n \n Timaná, J.; Chahuara, H.; Basavarajappa, L.; Basarab, A.; Hoyt, K.; and Lavarello, R.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023, pages 1–4, 2023. \n \n\n\n\n
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@InProceedings{ TiChBaBaHoLa2023.1,\r\nauthor = {Timaná, José and Chahuara, Hector and Basavarajappa, Lokesh and Basarab, Adrian and Hoyt, Kenneth and Lavarello, Roberto},\r\ntitle = "{Reducing the Degrees of Freedom for Simultaneous Estimation of Ultrasonic Attenuation and Backscatter Coefficients: Application to Liver Steatosis Detection}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023}",\r\nyear = {2023},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Multifrequency joint reconstruction of ultrasonic attenuation images.\n \n \n \n\n\n \n Miranda, E.; Basarab, A.; and Lavarello, R.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023, pages 1–4, 2023. \n \n\n\n\n
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@InProceedings{ MiBaLa2023.1,\r\nauthor = {Miranda, Edmundo and Basarab, Adrian and Lavarello, Roberto},\r\ntitle = "{Multifrequency joint reconstruction of ultrasonic attenuation images}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023}",\r\nyear = {2023},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Adaptive beamforming combined with decision theory-based detection for ultrasound localization microscopy.\n \n \n \n\n\n \n Corazza, A.; Muleki-Seya, P.; Chavignon, A.; Couture, O.; Basarab, A.; and Nicolas, B.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023, pages 1–4, 2023. \n \n\n\n\n
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@InProceedings{ CoMuChCoBaNi2023.1,\r\nauthor = {Corazza, Alexandre and Muleki-Seya, Pauline and Chavignon, Arthur and Couture, Olivier and Basarab, Adrian and Nicolas, Barbara},\r\ntitle = "{Adaptive beamforming combined with decision theory-based detection for ultrasound localization microscopy}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023}",\r\nyear = {2023},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Cross-spectral Matrix Fitting for passive mapping of the ultrasonic cavitation based on Elastic-net regularization.\n \n \n \n\n\n \n Lachambre, C.; Basarab, A.; Bera, J.; Nicolas, B.; Varray, F.; and Gilles, B.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023, pages 1–4, 2023. \n \n\n\n\n
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@InProceedings{ LaBaBeNiVaGi2023.1,\r\nauthor = {Lachambre, Célestine and Basarab, Adrian and Bera, Jean-Christophe and Nicolas, Barbara and Varray, François and Gilles, Bruno},\r\ntitle = "{Cross-spectral Matrix Fitting for passive mapping of the ultrasonic cavitation based on Elastic-net regularization}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023}",\r\nyear = {2023},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Deep Ultrasound Denoising using Diffusion Probabilistic Models.\n \n \n \n\n\n \n Asgariandehkordi, H.; Goudarzi, S.; Basarab, A.; and Rivaz, H.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023, pages 1–4, 2023. \n \n\n\n\n
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@InProceedings{ AsGoBaRi2023.1,\r\nauthor = {Asgariandehkordi, Hojat and Goudarzi, Sobhan and Basarab, Adrian and Rivaz, Hassan},\r\ntitle = "{Deep Ultrasound Denoising using Diffusion Probabilistic Models}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 03/09/2023-08/09/2023}",\r\nyear = {2023},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Joint Registration and Fusion of 3D Magnetic Resonance and 2D Ultrasound Images for Endometriosis Surgery.\n \n \n \n\n\n \n El Bennioui, Y.; Vidal, F.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2023), Helsinki, Finland, 04/03/23-08/09/23, 2023. \n \n\n\n\n
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@InProceedings{ BeViBaTo2023.1,\r\nauthor = {El Bennioui, Youssra and Vidal, Fabien and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Joint Registration and Fusion of 3D Magnetic Resonance and 2D Ultrasound Images for Endometriosis Surgery}",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2023), Helsinki, Finland, 04/03/23-08/09/23}",\r\nyear = {2023},\r\nto_appear = {to appear},\r\npages = {},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Computed Tomography Image Restoration Using a Quantum-Based Deep Unrolled Denoiser and a Plug-and-Play Framework.\n \n \n \n\n\n \n Dutta, S.; Nwigbo, K. T.; Michetti, J.; Georgeot, B.; Pham, D. H.; Kouamé, D.; and Basarab, A.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2023), Helsinki, Finland, 04/03/23-08/09/23, 2023. \n \n\n\n\n
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@InProceedings{ DuNwMiGePhKoAb2023.1,\r\nauthor = {Dutta, Sayantan and Nwigbo, Kenule Tuador and Michetti, Jérôme and Georgeot, Bertrand and Pham, Duong Hung and Kouamé, Denis and Basarab, Adrian},\r\ntitle = "{Computed Tomography Image Restoration Using a Quantum-Based Deep Unrolled Denoiser and a Plug-and-Play Framework}",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2023), Helsinki, Finland, 04/03/23-08/09/23}",\r\nyear = {2023},\r\nto_appear = {to appear},\r\npages = {},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Simultaneous imaging of ultrasonic backscatter and attenuation coefficients for quantitative liver.\n \n \n \n\n\n \n Timana, J.; Chahuara, H.; Basavarajappa, L.; Basarab, A.; Hoyt, K.; and Lavarello, R.\n\n\n \n\n\n\n Scientific reports, in press. 2023.\n \n\n\n\n
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@Article{ TiChBaBaHoLa2023.1,\r\nauthor = {José Timana and Hector Chahuara and L. Basavarajappa and Adrian Basarab and Kenneth Hoyt and Roberto Lavarello},\r\ntitle = "{Simultaneous imaging of ultrasonic backscatter and attenuation coefficients for quantitative liver}",\r\njournal = {Scientific reports},\r\nyear = {2023},\r\nvolume={in press},\r\npages={},\r\nlanguage = {anglais}\r\n\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Microbubble identification based on decision theory for ultrasound localization microscopy.\n \n \n \n\n\n \n Corazza, A.; Muleki-Seya, P.; Basarab, A.; and Nicolas, B.\n\n\n \n\n\n\n IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control, 3: 41-55. 2023.\n \n\n\n\n
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@Article{ CoMuBaNi2023.1,\r\nauthor = {Corazza, Alexandre and Muleki-Seya, Pauline and Basarab, Adrian and Nicolas, Barbara},\r\ntitle = "{Microbubble identification based on decision theory for ultrasound localization microscopy}",\r\njournal = {IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control},\r\nyear = {2023},\r\nvolume={3},\r\npages={41-55},\r\nlanguage = {anglais}\r\n\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n A Unifying Approach to Inverse Problems of Ultrasound Beamforming and Deconvolution.\n \n \n \n\n\n \n Goudarzi, S.; Basarab, A.; and Rivaz, H.\n\n\n \n\n\n\n IEEE Transactions on Computational Imaging, 9: 197-209. 2023.\n \n\n\n\n
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@Article{ GoBaRi2023.1,\r\nauthor = {Goudarzi, Sobhan and Basarab, Adrian and Rivaz, Hassan},\r\ntitle = "{A Unifying Approach to Inverse Problems of Ultrasound Beamforming and Deconvolution}",\r\njournal = {IEEE Transactions on Computational Imaging},\r\npublisher = {IEEE Signal Processing Society},\r\naddress = {http://www.signalprocessingsociety.org},\r\nyear = {2023},\r\nvolume={9},\r\npages={197-209},\r\nlanguage = {anglais}\r\n\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Total Nuclear Variation Spectral Log Difference for Ultrasonic Attenuation Images.\n \n \n \n\n\n \n Miranda, E.; Basarab, A.; and Lavarello, R.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Cartagena de Indias, Colombia, 18/04/2023-21/04/2023, 2023. \n \n\n\n\n
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@InProceedings{ MiBaLa2023.1,\r\nauthor = {Miranda, Edmundo and Basarab, Adrian and Lavarello, Roberto},\r\ntitle = "{Total Nuclear Variation Spectral Log Difference for Ultrasonic Attenuation Images}",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Cartagena de Indias, Colombia, 18/04/2023-21/04/2023}",\r\nyear = {2023},\r\npublisher = {},\r\npages = {},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Mask-guided data augmentation for multiparametric MRI generation with a rare hepatocellular carcinoma.\n \n \n \n\n\n \n Sanchez, K.; Hinojosa, C.; Arias, K.; Arguello, H.; Kouamé, D.; Meyrignac, O.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Cartagena de Indias, Colombia, 18/04/2023-21/04/2023, 2023. \n \n\n\n\n
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@InProceedings{ SaHiArArKoMeBa2023.1,\r\nauthor = {Sanchez, Karen and Hinojosa, Carlos and Arias, Kevin and Arguello, Henry and Kouamé, Denis, and Meyrignac, Olivier and Basarab, Adrian},\r\ntitle = "{Mask-guided data augmentation for multiparametric MRI generation with a rare hepatocellular carcinoma}",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Cartagena de Indias, Colombia, 18/04/2023-21/04/2023}",\r\nyear = {2023},\r\nto_appear = {to appear},\r\npublisher = {},\r\npages = {},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Adaptive noise reduction for power Doppler imaging using SVD filtering in the channel domain and coherence weighting of pixels.\n \n \n \n\n\n \n Pialot, B.; Lachambre, C.; Mur, A. L.; Petrusca, L.; Basarab, A.; and Varray, F.\n\n\n \n\n\n\n Physics in Medicine and Biology, 68(2): 1–16. 2023.\n \n\n\n\n
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@Article{ DuBaGeKo2022.2,\r\nauthor = {Pialot, Baptiste and Lachambre, Célestine and Mur, Antonio Lorente and Petrusca, Lorena and Basarab, Adrian and François Varray},\r\ntitle = "{Adaptive noise reduction for power Doppler imaging using SVD filtering in the channel domain and coherence weighting of pixels}",\r\njournal = {Physics in Medicine and Biology},\r\npublisher = {IOP},\r\nvolume={68},\r\nnumber={2},\r\npages={1--16},\r\nyear = {2023},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n  \n 2022\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n Attenuation coefficient imaging using regularization by denoising.\n \n \n \n\n\n \n Carrera, A.; Basarab, A.; and Lavarello, R.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 10/10/2022-13/10/2022, pages 1–4, 2022. \n \n\n\n\n
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@InProceedings{ CaBaLa2022.1,\r\nauthor = {Carrera, Anthony and Basarab, Adrian and Lavarello, Roberto},\r\ntitle = "{Attenuation coefficient imaging using regularization\r\nby denoising}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 10/10/2022-13/10/2022}",\r\nyear = {2022},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Microbubble detection with adaptive beamforming for Ultrasound Localization Microscopy.\n \n \n \n\n\n \n Corazza, A.; Muleki-Seya, P.; Aissani, A.; Couture, O.; Basarab, A.; and Nicolas, B.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 10/10/2022-13/10/2022, pages 1–4, 2022. \n \n\n\n\n
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@InProceedings{ CoMuAiCoBaNi2022.1,\r\nauthor = {Corazza, Alexandre and Muleki-Seya, Pauline and Aissani, Abderrahmane and Couture, Olivier and Basarab, Adrian and Nicolas, Barbara},\r\ntitle = "{Microbubble detection with adaptive beamforming for Ultrasound Localization Microscopy}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 10/10/2022-13/10/2022}",\r\nyear = {2022},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Adaptive Contrast Enhancement of Cardiac Ultrasound Images using a Deep Unfolded Many-Body Quantum Algorithm.\n \n \n \n\n\n \n Dutta, S.; Georgeot, B.; Kouamé, D.; Garcia, D.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 10/10/2022-13/10/2022, pages 1–4, 2022. \n \n\n\n\n
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@InProceedings{ DuGeKoGaBa2022.1,\r\nauthor = {Dutta, Sayantan and Georgeot, Bertrand and Kouamé, Denis and Garcia, Damien and Basarab, Adrian},\r\ntitle = "{Adaptive Contrast Enhancement of Cardiac Ultrasound Images using a Deep Unfolded Many-Body Quantum Algorithm}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 10/10/2022-13/10/2022}",\r\nyear = {2022},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized Solutions.\n \n \n \n\n\n \n Goudarzi, S.; Basarab, A.; and Rivaz, H.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 69(10): 2906-2916. 2022.\n \n\n\n\n
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@Article{ GoBaRi2022.1,\r\nauthor = {Goudarzi, Sobhan and Basarab, Adrian and Rivaz, Hassan},\r\ntitle = "{Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized Solutions}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2022},\r\nvolume={69},\r\nnumber={10},\r\npages={2906-2916},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n Signal Processing, 201: 108690. 2022.\n \n\n\n\n
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@Article{ DuBaGeKo2022.2,\r\nauthor = {Dutta, Sayantan and Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory}",\r\njournal = {Signal Processing},\r\npublisher = {Elsevier},\r\nvolume = {201},\r\npages = {108690},\r\nyear = {2022},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Deep unfolding of image denoising by quantum interactive patches.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, 16/10/22-19/10/22, pages 491-495, octobre 2022. \n \n\n\n\n
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@InProceedings{ DuBaGeKo2022.1,\r\nauthor = {Dutta, Sayantan and  Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Deep unfolding of image denoising by quantum interactive patches}",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, 16/10/22-19/10/22}",\r\nyear = {2022},\r\nmonth = {octobre},\r\npages = {491-495},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n CX-DaGAN: Domain Adaptation for Pneumonia Diagnosis on a Small Chest X-ray Dataset.\n \n \n \n\n\n \n Sanchez, K.; Hinojosa, C.; Arguello, H.; Kouamé, D.; Meyrignac, O.; and Basarab, A.\n\n\n \n\n\n\n IEEE Transactions on Medical Imaging, 41(11): 3278–3288. 2022.\n \n\n\n\n
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@Article{ SaHiAzKoMeBa2022.1,\r\nauthor = {Sanchez, Karen and Hinojosa, Carlos and Arguello, Henry and Kouamé, Denis, and Meyrignac, Olivier and Basarab, Adrian},\r\ntitle = "{CX-DaGAN: Domain Adaptation for Pneumonia Diagnosis on a Small Chest X-ray Dataset}",\r\njournal = {IEEE Transactions on Medical Imaging},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\nyear = {2022},\r\nvolume = {41},\r\nnumber = {11},\r\npages = {3278--3288},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Efficient 2D ultrasound simulation based on dart-throwing 3D scatterer sampling.\n \n \n \n\n\n \n Gaits, F.; Mellado, N.; and Basarab, A.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2022), Belgrade, Serbia, 29/08/22-02/09/22, pages 897-901, 2022. \n \n\n\n\n
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@InProceedings{ GaMeBa2022.1,\r\nauthor = {Gaits, François and Mellado, Nicolas and Basarab, Adrian},\r\ntitle = "{Efficient 2D ultrasound simulation based on dart-throwing 3D scatterer sampling}",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2022), Belgrade, Serbia, 29/08/22-02/09/22}",\r\nyear = {2022},\r\npages = {897-901},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Simultaneous imaging of ultrasonic backscatter and attenuation coefficients for liver steatosis detection in a murine animal model.\n \n \n \n\n\n \n Timana, J.; Chahuara, H.; Basavarajappa, L.; Hoyt, K.; Basarab, A.; and Lavarello, R.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Kolkata, India, 28/03/2022-31/03/2022, pages 1-4, 2022. \n \n\n\n\n
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@InProceedings{ TiChBaHoBaLa2022.1,\r\nauthor = {Timana, José and Chahuara, Hector and Basavarajappa, Lokesh and Hoyt, Kenneth and Basarab, Adrian and Lavarello, Roberto},\r\ntitle = "{Simultaneous imaging of ultrasonic backscatter and attenuation coefficients for liver steatosis detection in a murine animal model}",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Kolkata, India, 28/03/2022-31/03/2022}",\r\nyear = {2022},\r\npublisher = {},\r\npages = {1-4},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Quantum denoising-based super-resolution algorithm applied to dental tomography images.\n \n \n \n\n\n \n Dutta, S.; Nwigbo, K. T.; Michetti, J.; Pham; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Kolkata, India, 28/03/2022-31/03/2022, pages 1-4, 2022. \n \n\n\n\n
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@InProceedings{ DuNwMiPhBaGeKo2022.1,\r\nauthor = {Dutta, Sayantan and Nwigbo, Kenule Tuador and Michetti, Jérôme and Pham and  Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Quantum denoising-based super-resolution algorithm applied to dental tomography images}",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Kolkata, India, 28/03/2022-31/03/2022}",\r\nyear = {2022},\r\npublisher = {},\r\npages = {1-4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n  \n 2021\n \n \n (15)\n \n \n
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\n \n\n \n \n \n \n \n Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Access, 9: 139771–139791. 2021.\n \n\n\n\n
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@Article{ DuBaGeKo2021.5,\r\nauthor = {Dutta, Sayantan and Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy Images}",\r\njournal = {IEEE Access},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\nyear = {2021},\r\nvolume = {9},\r\npages = {139771--139791},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Block-Wise 3D Ultrasound Image Super-Resolution.\n \n \n \n\n\n \n Nwigbo, K. T.; Pham, D.; Varray, F.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 11/09/2021-16/09/2021, pages 1–4, 2021. \n \n\n\n\n
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@InProceedings{ NwPhVaBaKo2021.1,\r\nauthor = {Nwigbo, Kenule Tuador and Pham, Duong-Hung and Varray, François and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Block-Wise 3D Ultrasound Image Super-Resolution}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 11/09/2021-16/09/2021}",\r\nyear = {2021},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Despeckling Ultrasound Images Using Quantum Many-Body Physics.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, 11/09/2021-16/09/2021, pages 1–4, 2021. \n \n\n\n\n
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@InProceedings{ DuBaGeKo2021.4,\r\nauthor = {Dutta, Sayantan and Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Despeckling Ultrasound Images Using Quantum Many-Body Physics}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, 11/09/2021-16/09/2021}",\r\nyear = {2021},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Image Denoising Inspired by Quantum Many-Body physics.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2021), Anchorage, Alaska, USA, 19/09/2021-22/09/2021, pages 1619–1623, 2021. \n \n\n\n\n
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@InProceedings{ DuBaGeKo2021.3,\r\nauthor = {Dutta, Sayantan and Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Image Denoising Inspired by Quantum Many-Body physics}",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2021), Anchorage, Alaska, USA, 19/09/2021-22/09/2021}",\r\nyear = {2021},\r\npages = {1619--1623},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Marmoset Brain Segmentation from Deconvolved Magnetic Resonance Images and Estimated Label Maps.\n \n \n \n\n\n \n Bazzi, F.; Mescam, M.; Diab, A.; Falou, O.; Amoud, H.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n Magnetic Resonance in Medicine, 86(5): 2766–2779. November 2021.\n \n\n\n\n
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@Article{ BaMeDiFaAmBaKo2021.1,\r\nauthor = {Bazzi, Farah and Mescam, Muriel and Diab, Ahmad and Falou, Omar and Amoud, Hassan and Basarab, Adrian and Kouamé, Deni},\r\ntitle = "{Marmoset Brain Segmentation from Deconvolved Magnetic Resonance Images and Estimated Label Maps}",\r\njournal = {Magnetic Resonance in Medicine},\r\npublisher = {Wiley Online Library},\r\nyear = {2021},\r\nmonth = {November},\r\nvolume = {86},\r\nnumber = {5},\r\npages = {2766--2779},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23/08/21-27/08/21, pages 646–650, 2021. \n \n\n\n\n
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@InProceedings{ DuBaGeKo2021.2,\r\nauthor = {Dutta, Sayantan and Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme}",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23/08/21-27/08/21}",\r\nyear = {2021},\r\npages = {646--650},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Quantum mechanics-based signal and image representation: application to denoising.\n \n \n \n\n\n \n Dutta, S.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Open Journal of Signal Processing, 2: (on line). 2021.\n \n\n\n\n
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@Article{ DuBaGeKo2021.1,\r\nauthor = {Dutta, Sayantan and Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Quantum mechanics-based signal and image representation: application to denoising}",\r\njournal = {IEEE Open Journal of Signal Processing},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\nyear = {2021},\r\nvolume = {2},\r\npages = {190--206},\r\npages = {(on line)},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem .\n \n \n \n\n\n \n Pham, D.; Basarab, A.; Remenieras, J.; Rodriguez, P.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021, pages 1907–1910, 2021. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
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@InProceedings{ PhBaReRoKo2021.1,\r\nauthor = {Pham, Duong-Hung and Basarab, Adrian and Remenieras, Jean-Pierre and Rodriguez, Paul and Kouamé, Denis},\r\ntitle = "{Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021}",\r\nyear = {2021},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\npages = {1907--1910},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Subspace-Based Domain Adaptation using Similarity Constraints for Pneumonia Diagnosis within a Small Chest X-Ray Image Dataset .\n \n \n \n\n\n \n Sanchez, K.; Hinojosa, C.; Arguello, H.; Freiss, S.; Sans, N.; Kouamé, D.; Meyrignac, O.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021, pages 1232–1235, 2021. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
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@InProceedings{SaHiArFrSaKoMeBa2021.1,\r\nauthor = {Sanchez, Karen and Hinojosa, Carlos and Arguello, Henry and Freiss, Simon and Sans, Nicolas and Kouamé, Denis and Meyrignac, Olivier and Basarab, Adrian},\r\ntitle = "{Subspace-Based Domain Adaptation using Similarity Constraints for Pneumonia Diagnosis within a Small Chest X-Ray Image Dataset }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021}",\r\nyear = {2021},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\npages = {1232--1235},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n A Novel Fast 3D Single Image Super-Resolution Algorithm .\n \n \n \n\n\n \n Nwigbo, K. T.; Pham, D.; Michetti, J.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021, pages 73–76, 2021. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
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@InProceedings{NwPhMiBaKo2021.1,\r\nauthor = {Nwigbo, Kenule Tuador and Pham, Duong-Hung and Michetti, Jérôme and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{A Novel Fast 3D Single Image Super-Resolution Algorithm }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021}",\r\nyear = {2021},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\npages = {73--76},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Single Image Super-Resolution of Noisy 3D Dental CT Images Using Tucker Decomposition .\n \n \n \n\n\n \n Hatvani, J.; Michetti, J.; Basarab, A.; Gyongy, M.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021, pages 1673–1676, 2021. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
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@InProceedings{HaMiBaGyKo2021.1,\r\nauthor = {Hatvani, Janka and Michetti, Jérôme and Basarab, Adrian and Gyongy, Miklos and Kouamé, Denis},\r\ntitle = "{Single Image Super-Resolution of Noisy 3D Dental CT Images Using Tucker Decomposition }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Nice, 13/04/2021-16/04/2021}",\r\nyear = {2021},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\npages = {1673--1676},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Assessment of root canal transportation of 2Shape and ProTaper gold in mandibular molar mesial canals: A micro–computed tomographic study.\n \n \n \n\n\n \n Nehme, W.; Araji, S.; Michetti, J.; Zogheib, C.; Naaman, A.; Khalil, I.; Pages, R.; Basarab, A.; Mallet, J. P.; and Diemer, F.\n\n\n \n\n\n\n Microscopic Research and Technique, 84(4): 746–752. 2021.\n \n\n\n\n
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@Article{ NeArMiZoNaKhPaBaMaDi2020.1,\r\nauthor = {Nehme, Walid and Araji, Stephanie and Michetti, Jérôme and Zogheib, Carla and Naaman, Alfred and Khalil, Issam and Pages, Raphaël and Basarab, Adrian and Mallet, Jean Philippe and Diemer, Franck},\r\ntitle = "{Assessment of root canal transportation of 2Shape and ProTaper gold in mandibular molar mesial canals: A micro–computed tomographic study}",\r\njournal = {Microscopic Research and Technique},\r\npublisher = {Wiley Online Library},\r\nyear = {2021},\r\nvolume = {84},\r\nnumber = {4},\r\npages = {746--752},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Ultrasound Image Deconvolution Using Fundamental and Harmonic Images.\n \n \n \n\n\n \n Hourani, M.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 68(4): 993–1006. April 2021.\n \n\n\n\n
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@Article{ HoBaKoTo2020.1,\r\nauthor = {Hourani, Mohamad and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Ultrasound  Image  Deconvolution  Using Fundamental  and  Harmonic  Images}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2021},\r\nmonth = {April},\r\nvolume = {68},\r\nnumber = {4},\r\npages = {993--1006},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging.\n \n \n \n\n\n \n Pham, D.; Basarab, A.; Zemmoura, I.; Remenieras, J.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 68(4): 969–978. April 2021.\n \n\n\n\n
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@Article{ PhBaZeReKo2020.1,\r\nauthor = {Pham, Duong-Hung and Basarab, Adrian and Zemmoura, Ilyess and Remenieras, Jean-Pierre and Kouamé, Denis},\r\ntitle = "{Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2021},\r\nmonth = {April},\r\nvolume = {68},\r\nnumber = {4},\r\npages = {969--978},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Wing 3D Reconstruction by Constraining the Bundle Adjustment with Mechanical Limitations .\n \n \n \n\n\n \n Demoulin, Q.; Lefebvre-Albaret, F.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2020), Amsterdam, NL, 18/01/21-22/01/21, pages 570–574, 2021. \n \n\n\n\n
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@InProceedings{ De2020,\r\nauthor = {Demoulin, Quentin and Lefebvre-Albaret, François and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Wing 3D Reconstruction by Constraining the Bundle Adjustment with Mechanical Limitations }",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2020), Amsterdam, NL, 18/01/21-22/01/21}",\r\nyear = {2021},\r\npages = {570--574},\r\nlanguage = {anglais}\r\n}\r\n
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\n  \n 2020\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n A non-convex regularization based line artefact quantification method in lung ultrasound imagery for pulmonary disease evaluation.\n \n \n \n\n\n \n Karakus, O.; Anantrasirichai, N.; Basarab, A.; and Achim, A.\n\n\n \n\n\n\n In The Journal of the Acoustical Society of America, volume 148, 2020. \n (Special session)\n\n\n\n
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@InProceedings{ KaAnBaAC2020.1,\r\nauthor = {Karakus, Oktay and Anantrasirichai, Nantheera and Basarab, Adrian and Achim, Alin},\r\ntitle = "{A non-convex regularization based line artefact quantification method in lung ultrasound imagery for pulmonary disease evaluation}",\r\nbooktitle = "{The Journal of the Acoustical Society of America}",\r\nyear = {2020},\r\nvolume = {148},\r\nnumber = {4},\r\nlanguage = {anglais},\r\nnote = { (Special session)}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Regularized framework for simultaneous estimation of ultrasonic attenuation and backscatter coefficients.\n \n \n \n\n\n \n Chahuara, H.; Basarab, A.; and Lavarello, R.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Las Vegas, 08/09/2020-11/09/2020, pages 1–4, 2020. \n \n\n\n\n
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@InProceedings{ ChBaLa2020.1,\r\nauthor = {Chahuara, Hector and Basarab, Adrian and  Lavarello, Roberto},\r\ntitle = "{Regularized framework for simultaneous estimation of ultrasonic attenuation and backscatter coefficients}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Las Vegas, 08/09/2020-11/09/2020}",\r\nyear = {2020},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Block-wise Ultrasound Image Deconvolution from Fundamental and Harmonic Images.\n \n \n \n\n\n \n Hourani, M.; Basarab, A.; Varray, F.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Las Vegas, 08/09/2020-11/09/2020, pages 1–4, 2020. \n \n\n\n\n
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@InProceedings{ HoBaVaKoTo2020.1,\r\nauthor = {Hourani, Mohamad and Basarab, Adrian and Varray, Francois and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Block-wise Ultrasound Image Deconvolution from Fundamental and Harmonic Images}",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Las Vegas, 08/09/2020-11/09/2020}",\r\nyear = {2020},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization.\n \n \n \n\n\n \n Karakus, O.; Anantrasirichai, N.; Aguersif, A.; Silva, S.; Basarab, A.; and Achim, A.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Special Issue on Ultrasound in COVID-19 and Lung Diagnostics, 67(11): 2218–2229. November 2020.\n \n\n\n\n
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@Article{ KaAnAmSiBaAc2020.1,\r\nauthor = {Karakus, Oktay and Anantrasirichai, Nantheera and Aguersif, Amazigh and Silva, Stein and Basarab, Adrian and Achim, Alin},\r\ntitle = "{Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Special Issue on Ultrasound in COVID-19 and Lung Diagnostics},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2020},\r\nmonth = {November},\r\nvolume = {67},\r\nnumber = {11},\r\npages = {2218--2229},\r\nlanguage = {anglais}\r\n}\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Autoregressive model-based reconstruction of quantitative acoustic maps from RF signals sampled at innovation rate.\n \n \n \n\n\n \n Kim, J.; Mamou, J.; Kouamé, D.; Achim, A.; and Basarab, A.\n\n\n \n\n\n\n IEEE Transactions on Computational Imaging, 6: 993–1006. 2020.\n \n\n\n\n
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@Article{ KiMaKoAcBa2020.1,\r\nauthor = {Kim, Jong-Hoon and Mamou, Jonathan and Kouamé, Denis and Achim, Alin and Basarab, Adrian},\r\ntitle = "{Autoregressive model-based reconstruction of quantitative acoustic maps from RF signals sampled at innovation rate}",\r\njournal = {IEEE Transactions on Computational Imaging},\r\npublisher = {IEEE Signal Processing Society},\r\naddress = {http://www.signalprocessingsociety.org},\r\nyear = {2020},\r\nvolume = {6},\r\npages = {993--1006},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection.\n \n \n \n\n\n \n El Mansouri, O.; Vidal, F.; Basarab, A.; Payoux, P.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Transactions on Image Processing, 29(1): 5324–5335. December 2020.\n \n\n\n\n
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@Article{ ElViBaPaKoTo2020.1,\r\nauthor = {El Mansouri, Oumaima and Vidal, Fabien and Basarab, Adrian and Payoux, Pierre and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection}",\r\njournal = {IEEE Transactions on Image Processing},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2020},\r\nmonth = {December},\r\nvolume = {29},\r\nnumber = {1},\r\npages = {5324--5335},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Ultrasound and magnetic resonance image fusion using a patch-wise polynomial model .\n \n \n \n\n\n \n El Mansouri, O.; Basarab, A.; Figueiredo, M.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi, 25/10/2020-28/10/2020, pages 403–407, 2020. \n \n\n\n\n
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@InProceedings{ El2020.2,\r\nauthor = {El Mansouri, Oumaima and Basarab, Adrian and Figueiredo, Mario and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Ultrasound and magnetic resonance image fusion using a patch-wise polynomial model }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi, 25/10/2020-28/10/2020}",\r\nyear = {2020},\r\npages = {403--407},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Constrained Bundle Adjustment Applied to Wing 3D Reconstruction with Mechanical Limitations .\n \n \n \n\n\n \n Demoulin, Q.; Lefebvre-Albaret, F.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, 25/10/2020-28/10/2020, pages 2790–2794, 2020. \n \n\n\n\n
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@InProceedings{ DeLeBaKoTo2020.1,\r\nauthor = {Demoulin, Quentin and Lefebvre-Albaret, François and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Constrained Bundle Adjustment Applied to Wing 3D Reconstruction with Mechanical Limitations }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP), Abu Dhabi, 25/10/2020-28/10/2020}",\r\nyear = {2020},\r\npages = {2790--2794},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Blind deconvolution of fundamental and harmonic ultrasound images .\n \n \n \n\n\n \n Hourani, M.; Basarab, A.; Michailovich, O.; Matrone, G.; Ramalli, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Iowa City, 03/04/2020-07/04/2020, pages 854-857, 2020. \n \n\n\n\n
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@InProceedings{ Ho2020.1,\r\nauthor = {Hourani, Mohamad and Basarab, Adrian and Michailovich, Oleg and Matrone, Giulia and Ramalli, Alessandro and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Blind deconvolution of fundamental and harmonic ultrasound images }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Iowa City, 03/04/2020-07/04/2020}",\r\nyear = {2020},\r\npages = {854-857},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Deconvolution for improved multifractal characterization of tissues in ultrasound images .\n \n \n \n\n\n \n Wendt, H.; Hourani, M.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Iowa City, 03/04/2020-07/04/2020, pages 605–608, 2020. \n \n\n\n\n
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@InProceedings{ WeHoBaKo2020.1,\r\nauthor = {Wendt, Herwig and Hourani, Mohamad and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Deconvolution for improved multifractal characterization of tissues in ultrasound images }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Iowa City, 03/04/2020-07/04/2020}",\r\nyear = {2020},\r\npages = {605--608},\r\nlanguage = {anglais}\r\n}\r\n
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\n  \n 2019\n \n \n (22)\n \n \n
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\n \n\n \n \n \n \n \n Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow Estimation.\n \n \n \n\n\n \n Zhao, N.; O'Connor, D.; Basarab, A.; Ruan, D.; and Sheng, K.\n\n\n \n\n\n\n IEEE Transactions on Biomedical Engineering, 66(11): 3050–3059. novembre 2019.\n \n\n\n\n
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@Article{ Zh2019.1,\r\nauthor = {Zhao, Ningning and O'Connor, Daniel and Basarab, Adrian and Ruan, Dan and Sheng, Ke},\r\ntitle = "{Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow Estimation}",\r\njournal = {IEEE Transactions on Biomedical Engineering},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2019},\r\nmonth = {novembre},\r\nvolume = {66},\r\nnumber = {11},\r\npages = {3050--3059},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT.\n \n \n \n\n\n \n Hatvani, J.; Basarab, A.; Tourneret, J.; Gyongy, M.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Transactions on Medical Imaging, 38(6): 1524–1531. juin 2019.\n \n\n\n\n
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@Article{ HaBaToGyKo2019.1,\r\nauthor = {Hatvani, Janka and Basarab, Adrian and Tourneret, Jean-Yves and Gyongy, Miklos and Kouamé, Denis},\r\ntitle = "{A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT}",\r\njournal = {IEEE Transactions on Medical Imaging},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2019},\r\nmonth = {juin},\r\nvolume = {38},\r\nnumber = {6},\r\npages = {1524--1531},\r\nlanguage = {anglais}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Robust Optical Flow Estimation in Cardiac Ultrasound images Using a Sparse Representation.\n \n \n \n \n\n\n \n Ouzir, N. L.; Basarab, A.; Lairez, O.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Transactions on Medical Imaging, 38(3): 741–752. mars 2019.\n \n\n\n\n
\n\n\n\n \n \n \"RobustPaper\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{ OuBaLaTo2019.1,\r\nauthor = {Ouzir, Nora Leïla and Basarab, Adrian and Lairez, Olivier and Tourneret, Jean-Yves},\r\ntitle = "{Robust Optical Flow Estimation in Cardiac Ultrasound images Using a Sparse Representation}",\r\njournal = {IEEE Transactions on Medical Imaging},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2019},\r\nmonth = {mars},\r\nvolume = {38},\r\nnumber = {3},\r\npages = {741--752},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/TMI.2018.2870947 - https://oatao.univ-toulouse.fr/24713/},\r\nabstract = {This paper introduces a robust 2-D cardiac motion estimation method. The problem is formulated as an energy minimization with an optical flow-based data fidelity term and two regularization terms imposing spatial smoothness and the sparsity of the motion field in an appropriate cardiac motion dictionary. Robustness to outliers, such as imaging artefacts and anatomical motion boundaries, is introduced using robust weighting functions for the data fidelity term as well as for the spatial and sparse regularizations. The motion fields and the weights are computed jointly using an iteratively re-weighted minimization strategy. The proposed robust approach is evaluated on synthetic data and realistic simulation sequences with available ground-truth by comparing the performance with state-of-the-art algorithms. Finally, the proposed method is validated using two sequences of in vivo images. The obtained results show the interest of the proposed approach for 2-D cardiac ultrasound imaging.}\r\n}\r\n
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\n This paper introduces a robust 2-D cardiac motion estimation method. The problem is formulated as an energy minimization with an optical flow-based data fidelity term and two regularization terms imposing spatial smoothness and the sparsity of the motion field in an appropriate cardiac motion dictionary. Robustness to outliers, such as imaging artefacts and anatomical motion boundaries, is introduced using robust weighting functions for the data fidelity term as well as for the spatial and sparse regularizations. The motion fields and the weights are computed jointly using an iteratively re-weighted minimization strategy. The proposed robust approach is evaluated on synthetic data and realistic simulation sequences with available ground-truth by comparing the performance with state-of-the-art algorithms. Finally, the proposed method is validated using two sequences of in vivo images. The obtained results show the interest of the proposed approach for 2-D cardiac ultrasound imaging.\n
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\n \n\n \n \n \n \n \n \n Deep Learning-Based Super-Resolution Applied to Dental Computed Tomography.\n \n \n \n \n\n\n \n Hatvani, J.; Horvath, A.; Michetti, J.; Basarab, A.; Kouamé, D.; and Gyöngy, M.\n\n\n \n\n\n\n IEEE Transactions on Radiation and Plasma Medical Sciences, Machine learning in radiation based medical sciences, 3(2): 120–128. mars 2019.\n \n\n\n\n
\n\n\n\n \n \n \"DeepPaper\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{ HaHoMiBaKoGy2019.1,\r\nauthor = {Hatvani, Janka and Horvath, Andras and Michetti, Jérôme and Basarab, Adrian and Kouamé, Denis and Gyöngy, Miklos},\r\ntitle = "{Deep Learning-Based Super-Resolution Applied to Dental Computed Tomography}",\r\njournal = {IEEE Transactions on Radiation and Plasma Medical Sciences, Machine learning in radiation based medical sciences},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2019},\r\nmonth = {mars},\r\nvolume = {3},\r\nnumber = {2},\r\npages = {120--128},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/TRPMS.2018.2827239 - https://oatao.univ-toulouse.fr/24705/},\r\nabstract = {The resolution of dental computed tomography (CT) images is limited by detector geometry, sensitivity, patient movement, the reconstruction technique and the need to minimize radiation dose. Recently, the use of convolutional neural network (CNN) architectures has shown promise as a resolution enhancement method. In the current work, two CNN architectures—a subpixel network and the so called U-net—have been considered for the resolution enhancement of 2-D cone-beam CT image slices of ex vivo teeth. To do so, a training set of 5680 cross-sectional slices of 13 teeth and a test set of 1824 slices of 4 structurally different teeth were used. Two existing reconstruction-based super-resolution methods using l2-norm and total variation regularization were used for comparison. The results were evaluated with different metrics (peak signal-to-noise ratio, structure similarity index, and other objective measures estimating human perception) and subsequent image-segmentation-based analysis. In the evaluation, micro-CT images were used as ground truth.The results suggest the superiority of the proposed CNN-based approaches over reconstruction-based methods in the case of dental CT images, allowing better detection of medically salient features, such as the size, shape, or curvature of the root canal.}\r\n}\r\n
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\n The resolution of dental computed tomography (CT) images is limited by detector geometry, sensitivity, patient movement, the reconstruction technique and the need to minimize radiation dose. Recently, the use of convolutional neural network (CNN) architectures has shown promise as a resolution enhancement method. In the current work, two CNN architectures—a subpixel network and the so called U-net—have been considered for the resolution enhancement of 2-D cone-beam CT image slices of ex vivo teeth. To do so, a training set of 5680 cross-sectional slices of 13 teeth and a test set of 1824 slices of 4 structurally different teeth were used. Two existing reconstruction-based super-resolution methods using l2-norm and total variation regularization were used for comparison. The results were evaluated with different metrics (peak signal-to-noise ratio, structure similarity index, and other objective measures estimating human perception) and subsequent image-segmentation-based analysis. In the evaluation, micro-CT images were used as ground truth.The results suggest the superiority of the proposed CNN-based approaches over reconstruction-based methods in the case of dental CT images, allowing better detection of medically salient features, such as the size, shape, or curvature of the root canal.\n
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\n \n\n \n \n \n \n \n Brain Segmentation from Super-Resolved Magnetic Resonance Images .\n \n \n \n\n\n \n Bazzi, F.; Rodriguez−Callejas, J. D.; Diab, A.; Amoud, H.; Falou, O.; Mescam, M.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In International Conference on Advances in Biomedical Engineering, Tripoli, Lebanon, 17/10/19-19/10/19, pages 1–4, 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{ BaRoDiAmFaMeBaKo2019.1,\r\nauthor = {Bazzi, Farah and Rodriguez−Callejas, Juan Dios and Diab, Ahmad and Amoud, Hassan and Falou, Omar and Mescam, Muriel and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Brain Segmentation from Super-Resolved Magnetic Resonance Images }",\r\nbooktitle = "{International Conference on Advances in Biomedical Engineering, Tripoli, Lebanon, 17/10/19-19/10/19}",\r\nyear = {2019},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing .\n \n \n \n\n\n \n Diaz, N.; Noriega-Wandurraga, C.; Basarab, A.; Tourneret, J.; and Arguello, H.\n\n\n \n\n\n\n In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2019), Guadeloupe, 15/12/2019-18/12/2019, pages 445–449, http://www.ieee.org/, décembre 2019. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
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@InProceedings{ DiNoBaToAr2019.1,\r\nauthor = {Diaz, Nelson and Noriega-Wandurraga, Camilo and Basarab, Adrian and Tourneret, Jean-Yves and Arguello, Henry},\r\ntitle = "{Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing }",\r\nbooktitle = "{IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2019), Guadeloupe, 15/12/2019-18/12/2019}",\r\nyear = {2019},\r\nmonth = {décembre},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {445--449},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n High-resolution and high-sensitivity blood flow estimation using deconvolution and optimization approaches with application to thyroid vascularization imaging .\n \n \n \n\n\n \n Shen, H.; Barthélémy, C.; Khoury, E.; Zemmoura, I.; Reménieras, J.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019, pages 1–4, 2019. \n \n\n\n\n
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@InProceedings{ ShBaKhZeReBaKo2019.1,\r\nauthor = {Shen, Hong and Barthélémy, Chloé and Khoury, Elise and Zemmoura, Ilyess and Reménieras, Jean-Pierre and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{High-resolution and high-sensitivity blood flow estimation using deconvolution and optimization approaches with application to thyroid vascularization imaging }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019}",\r\nyear = {2019},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Development of ultrasensitive Doppler imaging method for the surgical management of open-brain tumors .\n \n \n \n\n\n \n Barthélémy, C.; Khoury, E.; Beuve, S.; Zemmoura, I.; Gennisson, J.; Basarab, A.; Kouamé, D.; and Reménieras, J.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019, pages 1–4, 2019. \n \n\n\n\n
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@InProceedings{ BaKhBeZeGeBaKoRe2019.1,\r\nauthor = {Barthélémy, Chloé and Khoury, Elise and Beuve, Steve and Zemmoura, Ilyess and Gennisson, Jean-Luc and Basarab, Adrian and Kouamé, Denis and Reménieras, Jean-Pierre},\r\ntitle = "{Development of ultrasensitive Doppler imaging method for the surgical management of open-brain tumors }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019}",\r\nyear = {2019},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n On the design of a pelvic phantom for magnetic resonance and ultrasound image fusion .\n \n \n \n\n\n \n Vidal, F.; El Mansouri, O.; Kouamé, D.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019, pages 1–4, 2019. \n \n\n\n\n
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@InProceedings{ ViKoBa2019.1,\r\nauthor = {Vidal, Fabien and El Mansouri, Oumaima and Kouamé, Denis and Basarab, Adrian},\r\ntitle = "{On the design of a pelvic phantom for magnetic resonance and ultrasound image fusion }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019}",\r\nyear = {2019},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Spatio-temporal compressed quantitative acoustic microscopy .\n \n \n \n\n\n \n Kim, J.; Mamou, J.; Kouamé, D.; Achim, A.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019, pages 1–4, 2019. \n \n\n\n\n
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@InProceedings{ KiMaKoAcBa2019.1,\r\nauthor = {Kim, Jong-Hoon and Mamou, Jonathan and Kouamé, Denis and Achim, Alin and Basarab, Adrian},\r\ntitle = "{Spatio-temporal compressed quantitative acoustic microscopy }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019}",\r\nyear = {2019},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Joint Deconvolution of Fundamental and Harmonic Ultrasound Images .\n \n \n \n\n\n \n Hourani, M.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019, pages 1–4, 2019. \n \n\n\n\n
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@InProceedings{ HoBaKoTo2019.1,\r\nauthor = {Hourani, Mohamad and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Joint Deconvolution of Fundamental and Harmonic Ultrasound Images }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019}",\r\nyear = {2019},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Robust cardiac motion estimation with dictionary learning and temporal regularization for ultrasound imaging .\n \n \n \n\n\n \n Ouzir, N. L.; Bioucas-Dias, J.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019, pages 1–4, 2019. \n \n\n\n\n
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@InProceedings{ OuBiBaTo2019.1,\r\nauthor = {Ouzir, Nora Leïla and Bioucas-Dias, José and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Robust cardiac motion estimation with dictionary learning and temporal regularization for ultrasound imaging }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Glasgow, 06/10/2019-09/10/2019}",\r\nyear = {2019},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Magnetic Resonance and Ultrasound Image Fusion Using a PALM Algorithm .\n \n \n \n \n\n\n \n El Mansouri, O.; Basarab, A.; Vidal, F.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/07/2019-04/07/2019, pages (on line), http://www.inp-toulouse.fr, 2019. INPT : Institut National Polytechnique de Toulouse\n \n\n\n\n
\n\n\n\n \n \n \"MagneticPaper\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{ ElBaViKoTo2019.1,\r\nauthor = {El Mansouri, Oumaima and Basarab, Adrian and Vidal, Fabien and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Magnetic Resonance and Ultrasound Image Fusion Using a PALM Algorithm }",\r\nbooktitle = "{Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/07/2019-04/07/2019}",\r\nyear = {2019},\r\npublisher = {INPT : Institut National Polytechnique de Toulouse},\r\naddress = {http://www.inp-toulouse.fr},\r\npages = {(on line)},\r\nlanguage = {anglais},\r\nURL = {https://www.irit.fr/~Adrian.Basarab/img/Spars2019_OeM.pdf}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Tissue Reflectivity Function Restoration from Fundamental and Harmonic Ultrasound Images .\n \n \n \n \n\n\n \n Hourani, M.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/07/2019-04/07/2019, pages (on line), http://www.inp-toulouse.fr, 2019. INPT : Institut National Polytechnique de Toulouse\n \n\n\n\n
\n\n\n\n \n \n \"TissuePaper\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{ Ho2019.1,\r\nauthor = {Hourani, Mohamad and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Tissue Reflectivity Function Restoration from Fundamental and Harmonic Ultrasound Images }",\r\nbooktitle = "{Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/07/2019-04/07/2019}",\r\nyear = {2019},\r\npublisher = {INPT : Institut National Polytechnique de Toulouse},\r\naddress = {http://www.inp-toulouse.fr},\r\npages = {(on line)},\r\nlanguage = {anglais},\r\nURL = {https://www.irit.fr/~Adrian.Basarab/img/Spars2019_MH.pdf}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Label-consistent sparse auto-encoders .\n \n \n \n \n\n\n \n Rolland, T.; Basarab, A.; and Pellegrini, T.\n\n\n \n\n\n\n In Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/07/2019-04/07/2019, pages (on line), http://www.inp-toulouse.fr, juillet 2019. INPT : Institut National Polytechnique de Toulouse\n \n\n\n\n
\n\n\n\n \n \n \"Label-consistentPaper\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{ Ro2019.2,\r\nauthor = {Rolland, Thomas and Basarab, Adrian and Pellegrini, Thomas},\r\ntitle = "{Label-consistent sparse auto-encoders }",\r\nbooktitle = "{Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/07/2019-04/07/2019}",\r\nyear = {2019},\r\nmonth = {juillet},\r\npublisher = {INPT : Institut National Polytechnique de Toulouse},\r\naddress = {http://www.inp-toulouse.fr},\r\npages = {(on line)},\r\nlanguage = {anglais},\r\nURL = {https://www.irit.fr/~Thomas.Pellegrini/pdf/PAPER_SPARS_2019_v2.pdf - https://oatao.univ-toulouse.fr/25004/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Cardiac Motion Estimation Using Convolutional Sparse Coding .\n \n \n \n\n\n \n Dias, N.; Basarab, A.; Tourneret, J.; and Arguello, H.\n\n\n \n\n\n\n In European Signal Processing Conference (EUSIPCO), A Coruña, 02/09/2019-06/09/2019, pages 1–5, septembre 2019. \n \n\n\n\n
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@InProceedings{ DiBaToAr2019.1,\r\nauthor = {Dias, Nelson and Basarab, Adrian and Tourneret, Jean-Yves and Arguello, Henry},\r\ntitle = "{Cardiac Motion Estimation Using Convolutional Sparse Coding }",\r\nbooktitle = "{European Signal Processing Conference (EUSIPCO), A Coruña, 02/09/2019-06/09/2019}",\r\nyear = {2019},\r\nmonth = {septembre},\r\npages = {1--5},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation .\n \n \n \n\n\n \n Hatvani, J.; Basarab, A.; Michetti, J.; Gyöngy, M.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22/09/2019-25/09/2019, pages 2871–287, 2019. \n \n\n\n\n
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@InProceedings{ HaBaMiGyKo2019.1,\r\nauthor = {Hatvani, Janka and Basarab, Adrian and Michetti, Jérôme and Gyöngy, Miklós and Kouamé, Denis},\r\ntitle = "{Tensor-Factorization-Based 3D Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22/09/2019-25/09/2019}",\r\nyear = {2019},\r\npages = {2871--287},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging .\n \n \n \n\n\n \n Bazzi, F.; Mescam, M.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2019), Berlin, 23/07/2019-27/07/2019, pages 2840–2843, juillet 2019. \n \n\n\n\n
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@InProceedings{ Ba2019.5,\r\nauthor = {Bazzi, Farah and Mescam, Muriel and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{On Single-Image Super-Resolution in 3D Brain Magnetic Resonance Imaging }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2019), Berlin, 23/07/2019-27/07/2019}",\r\nyear = {2019},\r\nmonth = {juillet},\r\npages = {2840--2843},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n A convolutional neural network for 250-MHz quantitative acoustic-microscopy resolution enhancement .\n \n \n \n\n\n \n Mamou, J.; Pellegrini, T.; Kouamé, D.; and Basarab, A.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2019), Berlin, 23/07/2019-27/07/2019, pages 6212–6215, juillet 2019. \n \n\n\n\n
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@InProceedings{ Ma2019.1,\r\nauthor = {Mamou, Jonathan and Pellegrini, Thomas and Kouamé, Denis and Basarab, Adrian},\r\ntitle = "{A convolutional neural network for 250-MHz quantitative acoustic-microscopy resolution enhancement }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2019), Berlin, 23/07/2019-27/07/2019}",\r\nyear = {2019},\r\nmonth = {juillet},\r\npages = {6212--6215},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n On Multifractal Tissue Characterization in Ultrasound Imaging .\n \n \n \n \n\n\n \n Villain, E.; Wendt, H.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Venice, Italy, 08/04/2019-11/04/2019, pages (electronic medium), http://www.ieee.org/, avril 2019. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\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{ ViWeBaKo2019.1,\r\nauthor = {Villain, Edouard and Wendt, Herwig and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{On Multifractal Tissue Characterization in Ultrasound Imaging }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Venice, Italy, 08/04/2019-11/04/2019}",\r\nyear = {2019},\r\nmonth = {avril},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {(electronic medium)},\r\nlanguage = {anglais},\r\nURL = {https://oatao.univ-toulouse.fr/24731/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Iterative Reconstruction of Medical Ultrasound Images Using Spectrally Constrained Phase Updates .\n \n \n \n\n\n \n Michailovich, O.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Venice, Italy, 08/04/19-11/04/19, pages 1765–1768, 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{ MiBaKo2019.1,\r\nauthor = {Michailovich, Oleg and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Iterative Reconstruction of Medical Ultrasound Images Using Spectrally Constrained Phase Updates }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Venice, Italy, 08/04/19-11/04/19}",\r\nyear = {2019},\r\npages = {1765--1768},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Fusion of Magnetic Resonance and Ultrasound Images: a Preliminar Study on Simulated Data .\n \n \n \n\n\n \n El Mansouri, O.; Basarab, A.; Vidal, F.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Venice, Italy, 08/04/19-11/04/19, pages 1733–1736, 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
\n 
@InProceedings{ El2019.1,\r\nauthor = {El Mansouri, Oumaima and Basarab, Adrian and Vidal, Fabien and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Fusion of Magnetic Resonance and Ultrasound Images: a Preliminar Study on Simulated Data }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Venice, Italy, 08/04/19-11/04/19}",\r\nyear = {2019},\r\npages = {1733--1736},\r\nlanguage = {anglais}\r\n}\r\n
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\n  \n 2018\n \n \n (13)\n \n \n
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\n \n\n \n \n \n \n \n \n Using Smart Offices to Predict Occupational Stress.\n \n \n \n \n\n\n \n Alberdi, A.; Aztiria, A.; Basarab, A.; and Cook, D. J.\n\n\n \n\n\n\n International Journal of Industrial Ergonomics, 67: 13–26. septembre 2018.\n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\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{ Al2018.2,\r\nauthor = {Alberdi, Ane and Aztiria, Asier and Basarab, Adrian and Cook, Diane J.},\r\ntitle = "{Using Smart Offices to Predict Occupational Stress}",\r\njournal = {International Journal of Industrial Ergonomics},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2018},\r\nmonth = {septembre},\r\nvolume = {67},\r\npages = {13--26},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/22405/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n An axially-variant kernel imaging model applied to ultrasound image reconstruction.\n \n \n \n \n\n\n \n Florea, M. I.; Basarab, A.; Kouamé, D.; and Vorobyov, S. A.\n\n\n \n\n\n\n IEEE Signal Processing Letters, 25(7): 961–965. juillet 2018.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\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{ Fl2018.2,\r\nauthor = {Florea, Mihai I. and Basarab, Adrian and Kouamé, Denis and Vorobyov, Sergiy A.},\r\ntitle = "{An axially-variant kernel imaging model applied to ultrasound image reconstruction}",\r\njournal = {IEEE Signal Processing Letters},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2018},\r\nmonth = {juillet},\r\nvolume = {25},\r\nnumber = {7},\r\npages = {961--965},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/22383/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Smart home-based prediction of multi-domainsymptoms related to Alzheimer's Disease.\n \n \n \n\n\n \n Alberdi, A.; Weakley, A.; Schmitter-Edgecombe, M.; J. Cook, D.; Aztiria, A.; Basarab, A.; and Barrenechea, M.\n\n\n \n\n\n\n IEEE Journal of Biomedical and Health Informatics, 22(6): 1720–1731. novembre 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 
@Article{ Al2018.1,\r\nauthor = {Alberdi, Ane and Weakley, Alyssa and Schmitter-Edgecombe, Maureen and J. Cook, Diane and Aztiria, Asier and Basarab, Adrian and Barrenechea, Maitane},\r\ntitle = "{Smart home-based prediction of multi-domainsymptoms related to Alzheimer's Disease}",\r\njournal = {IEEE Journal of Biomedical and Health Informatics},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2018},\r\nmonth = {novembre},\r\nvolume = {22},\r\nnumber = {6},\r\npages = {1720--1731},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Comparison of an adaptive local thresholding method on CBCT and µCT endodontic images.\n \n \n \n \n\n\n \n Michetti, J.; Basarab, A.; Diemer, F.; and Kouamé, D.\n\n\n \n\n\n\n Physics in Medicine and Biology, 63: 1–10. janvier 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ComparisonPaper\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{ MiBaDiKo2018.1,\r\nauthor = {Michetti, Jérôme and Basarab, Adrian and Diemer, Franck and Kouamé, Denis},\r\ntitle = "{Comparison of an adaptive local thresholding method on CBCT and µCT endodontic images}",\r\njournal = {Physics in Medicine and Biology},\r\npublisher = {IOP Science},\r\naddress = {http://iopscience.iop.org},\r\nyear = {2018},\r\nmonth = {janvier},\r\nvolume = {63},\r\npages = {1--10},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1088/1361-6560/aa90ff - https://oatao.univ-toulouse.fr/22111/},\r\n}\r\n
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\n \n\n \n \n \n \n \n Motion Estimation in Echocardiography Using Sparse Representation and Dictionary Learning.\n \n \n \n\n\n \n Ouzir, N.; Basarab, A.; Liebgott, H.; Harbaoui, B.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Transactions on Image Processing, 27(1): 64–77. janvier 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 
@Article{ OuBaLiHaTo2018.1,\r\nauthor = {Ouzir, Nora and Basarab, Adrian and Liebgott, Hervé and Harbaoui, Brahim and Tourneret, Jean-Yves},\r\ntitle = "{Motion Estimation in Echocardiography Using Sparse Representation and Dictionary Learning}",\r\njournal = {IEEE Transactions on Image Processing},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2018},\r\nmonth = {janvier},\r\nvolume = {27},\r\nnumber = {1},\r\npages = {64--77},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Approximate Message Passing Reconstruction of Quantitative Acoustic Microscopy Images.\n \n \n \n \n\n\n \n Kim, J.; Mamou, J.; Hill, P.; Canagarajah, N.; Kouamé, D.; Basarab, A.; and Achim, A.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Special Issue on Sparsity driven methods in medical ultrasound, 65(3): 327–338. mars 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ApproximatePaper\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{ KiMaHiCaKoBaAc2018.1,\r\nauthor = {Kim, Jonghoon and Mamou, Jonathan and Hill, Paul and Canagarajah, Nishan and Kouamé, Denis and Basarab, Adrian and Achim, Alin},\r\ntitle = "{Approximate Message Passing Reconstruction of Quantitative Acoustic Microscopy Images}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Special Issue on Sparsity driven methods in medical ultrasound},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\nyear = {2018},\r\nmonth = {mars},\r\nvolume = {65},\r\nnumber = {3},\r\npages = {327--338},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/TUFFC.2017.2731627 - https://oatao.univ-toulouse.fr/22088/},\r\nabstract = {A novel framework for compressive sensing (CS) data acquisition and reconstruction in quantitative acoustic microscopy (QAM) is presented. Three different CS patterns, adapted to the specifics of QAM systems, were investigated as an alternative to the current raster-scanning approach. They consist of diagonal sampling, a row random, and a spiral scanning pattern and can all significantly reduce both the acquisition time and the amount of sampled data. For subsequent image reconstruction, we design and implement an innovative technique, whereby a recently proposed approximate message passing method is adapted to account for the underlying data statistics. A Cauchy maximum a posteriori image denoising algorithm is thus employed to account for the non-Gaussianity of QAM wavelet coefficients. The proposed methods were tested retrospectively on experimental data acquired with a 250- or 500-MHz QAM system. The experimental data were obtained from a human lymph node sample (250 MHz) and human cornea (500 MHz). Reconstruction results showed that the best performance is obtained using a spiral sensing pattern combined with the Cauchy denoiser in the wavelet domain. The spiral sensing matrix reduced the number of spatial samples by a factor of 2 and led to an excellent peak signal-to-noise ratio of 43.21 dB when reconstructing QAM speed-of-sound images of a human lymph node. These results demonstrate that the CS approach could significantly improve scanning time, while reducing costs of future QAM systems.}\r\n}\r\n
\n
\n\n\n
\n A novel framework for compressive sensing (CS) data acquisition and reconstruction in quantitative acoustic microscopy (QAM) is presented. Three different CS patterns, adapted to the specifics of QAM systems, were investigated as an alternative to the current raster-scanning approach. They consist of diagonal sampling, a row random, and a spiral scanning pattern and can all significantly reduce both the acquisition time and the amount of sampled data. For subsequent image reconstruction, we design and implement an innovative technique, whereby a recently proposed approximate message passing method is adapted to account for the underlying data statistics. A Cauchy maximum a posteriori image denoising algorithm is thus employed to account for the non-Gaussianity of QAM wavelet coefficients. The proposed methods were tested retrospectively on experimental data acquired with a 250- or 500-MHz QAM system. The experimental data were obtained from a human lymph node sample (250 MHz) and human cornea (500 MHz). Reconstruction results showed that the best performance is obtained using a spiral sensing pattern combined with the Cauchy denoiser in the wavelet domain. The spiral sensing matrix reduced the number of spatial samples by a factor of 2 and led to an excellent peak signal-to-noise ratio of 43.21 dB when reconstructing QAM speed-of-sound images of a human lymph node. These results demonstrate that the CS approach could significantly improve scanning time, while reducing costs of future QAM systems.\n
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\n \n\n \n \n \n \n \n \n Semi-blind ultrasound image deconvolution from compressed measurements.\n \n \n \n \n\n\n \n Chen, Z.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n Ingénierie et Recherche BioMédicale, 39(1): 26–34. février 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Semi-blindPaper\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{ ChBaKo2018.1,\r\nauthor = {Chen, Zhouye and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Semi-blind ultrasound image deconvolution from compressed measurements}",\r\njournal = {Ingénierie et Recherche BioMédicale},\r\npublisher = {Elsevier Masson},\r\naddress = {http://elsevier-masson.fr},\r\nyear = {2018},\r\nmonth = {février},\r\nvolume = {39},\r\nnumber = {1},\r\npages = {26--34},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1016/j.irbm.2017.11.002 - https://oatao.univ-toulouse.fr/24697/},\r\nabstract = {The recently proposed framework of ultrasound compressive deconvolution offers the possibility of decreasing the acquired data while improving the image spatial resolution. By combining compressive sampling and image deconvolution, the direct model of compressive deconvolution combines random projections and 2D convolution with a spatially invariant point spread function. Considering the point spread function known, existing algorithms have shown the ability of this framework to reconstruct enhanced ultrasound images from compressed measurements by inverting the forward linear model. In this paper, we propose an extension of the previous approach for compressive blind deconvolution, whose aim is to jointly estimate the ultrasound image and the system point spread function. The performance of the method is evaluated on both simulated and in vivo ultrasound data.}\r\n}\r\n
\n
\n\n\n
\n The recently proposed framework of ultrasound compressive deconvolution offers the possibility of decreasing the acquired data while improving the image spatial resolution. By combining compressive sampling and image deconvolution, the direct model of compressive deconvolution combines random projections and 2D convolution with a spatially invariant point spread function. Considering the point spread function known, existing algorithms have shown the ability of this framework to reconstruct enhanced ultrasound images from compressed measurements by inverting the forward linear model. In this paper, we propose an extension of the previous approach for compressive blind deconvolution, whose aim is to jointly estimate the ultrasound image and the system point spread function. The performance of the method is evaluated on both simulated and in vivo ultrasound data.\n
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\n \n\n \n \n \n \n \n \n Reconstruction of Quantitative Acoustic Microscopy Images from RF Signals Sampled at Innovation Rate .\n \n \n \n \n\n\n \n Kim, J.; Mamou, J.; Kouamé, D.; Achim, A.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Kobe, Japan, 22/10/2018-25/10/2018, pages 1–4, http://www.ieee.org/, octobre 2018. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"ReconstructionPaper\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 
@InProceedings{ Ki2018.1,\r\nauthor = {Kim, Jonghoon and Mamou, Jonathan and Kouamé, Denis and Achim, Alin and Basarab, Adrian},\r\ntitle = "{Reconstruction of Quantitative Acoustic Microscopy Images from RF Signals Sampled at Innovation Rate }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Kobe, Japan, 22/10/2018-25/10/2018}",\r\nyear = {2018},\r\nmonth = {octobre},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/ULTSYM.2018.8580075 - https://oatao.univ-toulouse.fr/24718/},\r\nabstract = {The principle of quantitative acoustic microscopy (QAM) is to form two-dimensional acoustic parameter maps from a collection of radiofrequency (RF) signals acquired by raster scanning a biological sample. Despite their relatively simple structure, i.e. two mai / mayn reflections, QAM RF signals are currently sampled at very high frequencies, e.g., at 2.5 GHz for QAM system employing a single-element transducer with a center frequency of 250-MHz. The use of such high sampling frequencies is challenging because of the potentially large amount of acquired data and the cost of the necessary analog to digital converters. In this work, we propose a sampling scheme based on the finite rate of innovation theory that exploits the limited numbers of degrees of freedom of QAM RF signals and allows the reconstruction of accurate acoustic maps from a very limited number of samples.}\r\n}\r\n
\n
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\n The principle of quantitative acoustic microscopy (QAM) is to form two-dimensional acoustic parameter maps from a collection of radiofrequency (RF) signals acquired by raster scanning a biological sample. Despite their relatively simple structure, i.e. two mai / mayn reflections, QAM RF signals are currently sampled at very high frequencies, e.g., at 2.5 GHz for QAM system employing a single-element transducer with a center frequency of 250-MHz. The use of such high sampling frequencies is challenging because of the potentially large amount of acquired data and the cost of the necessary analog to digital converters. In this work, we propose a sampling scheme based on the finite rate of innovation theory that exploits the limited numbers of degrees of freedom of QAM RF signals and allows the reconstruction of accurate acoustic maps from a very limited number of samples.\n
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\n \n\n \n \n \n \n \n \n Cardiac Motion Estimation with Dictionary Learning and Robust Sparse Coding in Ultrasound Imaging .\n \n \n \n \n\n\n \n Ouzir, N. L.; Chiril, P.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Kobe, Japan, 22/10/2018-25/10/2018, pages 1–4, http://www.ieee.org/, octobre 2018. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"CardiacPaper\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 
@InProceedings{ Ou2018.2,\r\nauthor = {Ouzir, Nora Leïla and Chiril, Patricia and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Cardiac Motion Estimation with Dictionary Learning and Robust Sparse Coding in Ultrasound Imaging }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Kobe, Japan, 22/10/2018-25/10/2018}",\r\nyear = {2018},\r\nmonth = {octobre},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/ULTSYM.2018.8580022 - https://oatao.univ-toulouse.fr/24717/},\r\nabstract = {Cardiac motion estimation from ultrasound images is an ill-posed problem that needs regularization to stabilize the solution. In this work, regularization is achieved by exploiting the sparseness of cardiac motion fields when decomposed in an appropriate dictionary, as well as their smoothness through a classical total variation term. The mai / mayn contribution of this work is to robustify the sparse coding step in order to handle anomalies, i.e., motion patterns that significantly deviate from the expected model. The proposed approach uses an ADMM-based optimization algorithm in order to simultaneously recover the sparse representations and the outlier components. It is evaluated using two realistic simulated datasets with available ground-truth, containing native outliers and corrupted by synthetic attenuation and clutter artefacts.}\r\n}\r\n
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\n\n\n
\n Cardiac motion estimation from ultrasound images is an ill-posed problem that needs regularization to stabilize the solution. In this work, regularization is achieved by exploiting the sparseness of cardiac motion fields when decomposed in an appropriate dictionary, as well as their smoothness through a classical total variation term. The mai / mayn contribution of this work is to robustify the sparse coding step in order to handle anomalies, i.e., motion patterns that significantly deviate from the expected model. The proposed approach uses an ADMM-based optimization algorithm in order to simultaneously recover the sparse representations and the outlier components. It is evaluated using two realistic simulated datasets with available ground-truth, containing native outliers and corrupted by synthetic attenuation and clutter artefacts.\n
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\n \n\n \n \n \n \n \n Adaptive transform via quantum signal processing: application to signal and image denoising .\n \n \n \n\n\n \n Smith, R.; Basarab, A.; Georgeot, B.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2018), Athens, 07/10/2018-10/10/2018, pages 1523–1527, http://www.ieee.org/, octobre 2018. 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
\n 
@InProceedings{ Sm2018.1,\r\nauthor = {Smith, Raphaël and Basarab, Adrian and Georgeot, Bertrand and Kouamé, Denis},\r\ntitle = "{Adaptive transform via quantum signal processing: application to signal and image denoising }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2018), Athens, 07/10/2018-10/10/2018}",\r\nyear = {2018},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1523--1527},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Restoration of ultrasound images using spatially-variant kernel deconvolution .\n \n \n \n \n\n\n \n Florea, M. I.; Basarab, A.; Kouamé, D.; and Vorobyov, S. A.\n\n\n \n\n\n\n In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, 15/04/2018-20/04/2018, pages 796–800, http://www.ieee.org/, avril 2018. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"RestorationPaper\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{ Fl2018.1,\r\nauthor = {Florea, Mihai I. and Basarab, Adrian and Kouamé, Denis and Vorobyov, Sergiy A.},\r\ntitle = "{Restoration of ultrasound images using spatially-variant kernel deconvolution }",\r\nbooktitle = "{IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, 15/04/2018-20/04/2018}",\r\nyear = {2018},\r\nmonth = {avril},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {796--800},\r\nlanguage = {anglais},\r\nURL = {https://oatao.univ-toulouse.fr/22329/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Restoration of ultrasonic images using non-linear system identification and deconvolution .\n \n \n \n \n\n\n \n Hourani, M.; Basarab, A.; Kouamé, D.; Girault, J.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2018), Washington, 04/04/2018-07/04/2018, pages 1166–1169, http://www.ieee.org/, avril 2018. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"RestorationPaper\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 
@InProceedings{ Ho2018.3,\r\nauthor = {Hourani, Mohamad and Basarab, Adrian and Kouamé, Denis and Girault, Jean-Marc and Tourneret, Jean-Yves},\r\ntitle = "{Restoration of ultrasonic images using non-linear system identification and deconvolution }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2018), Washington, 04/04/2018-07/04/2018}",\r\nyear = {2018},\r\nmonth = {avril},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {1166--1169},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/ISBI.2018.8363778 - https://oatao.univ-toulouse.fr/24698/},\r\nabstract = {This paper studies a new ultrasound image restoration method based on a non-linear forward model. A Hammerstein polynomial-based non-linear image formation model is considered to identify the system impulse response in baseband and around the second harmonic. The identification process is followed by a joint deconvolution technique minimizing an appropriate cost function. This cost function is constructed from two data fidelity terms exploiting the linear and non-linear model components, penalized by an additive-norm regularization enforcing sparsity of the solution. An alternating optimization approach is considered to minimize the penalized cost function, allowing the tissue reflectivity function to be estimated. Results on synthetic ultrasound images are finally presented to evaluate the algorithm performance.}\r\n}\r\n
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\n This paper studies a new ultrasound image restoration method based on a non-linear forward model. A Hammerstein polynomial-based non-linear image formation model is considered to identify the system impulse response in baseband and around the second harmonic. The identification process is followed by a joint deconvolution technique minimizing an appropriate cost function. This cost function is constructed from two data fidelity terms exploiting the linear and non-linear model components, penalized by an additive-norm regularization enforcing sparsity of the solution. An alternating optimization approach is considered to minimize the penalized cost function, allowing the tissue reflectivity function to be estimated. Results on synthetic ultrasound images are finally presented to evaluate the algorithm performance.\n
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\n \n\n \n \n \n \n \n Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint .\n \n \n \n\n\n \n Zhao, N.; O'Connor, D.; Ruan, D.; Basarab, A.; and Sheng, K.\n\n\n \n\n\n\n In SPIE Medical Imaging, Houston, Texas United States, 10/02/18-15/02/18, volume 10574, pages (electronic medium), http://spie.org, février 2018. SPIE - Medical Imaging\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{ ZhORuBaSh2018.1,\r\nauthor = {Zhao, Ningning and O'Connor, Daniel and Ruan, Dan and Basarab, Adrian and Sheng, Ke},\r\ntitle = "{Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint }",\r\nbooktitle = "{SPIE Medical Imaging, Houston, Texas United States, 10/02/18-15/02/18}",\r\nyear = {2018},\r\nmonth = {février},\r\npublisher = {SPIE - Medical Imaging},\r\naddress = {http://spie.org},\r\nvolume = {10574},\r\npages = {(electronic medium)},\r\nlanguage = {anglais}\r\n}\r\n
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\n  \n 2017\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Optical Flow Estimation in Ultrasound Images Using a Sparse Representation .\n \n \n \n \n\n\n \n Ouzir, N. L.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curaçao, 10/12/2017-13/12/2017, pages 1–5, http://www.ieee.org/, décembre 2017. IEEE : Institute of Electrical and Electronics Engineers\n (Special session)\n\n\n\n
\n\n\n\n \n \n \"OpticalPaper\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
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@InProceedings{ Ou2017.4,\r\nauthor = {Ouzir, Nora Leïla and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Optical Flow Estimation in Ultrasound Images Using a Sparse Representation }",\r\nbooktitle = "{IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curaçao, 10/12/2017-13/12/2017}",\r\nyear = {2017},\r\nmonth = {décembre},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {1--5},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/CAMSAP.2017.8313079 - https://oatao.univ-toulouse.fr/24695/},\r\nnote = { (Special session)},\r\nabstract = {This paper introduces a 2D optical flow estimation method for cardiac ultrasound imaging based on a sparse representation. The optical flow problem is regularized using a classical gradient-based smoothness term combined with a sparsity inducing regularization that uses a learned cardiac flow dictionary. A particular emphasis is put on the influence of the spatial and sparse regularizations on the optical flow estimation problem. A comparison with state-of-the-art methods using realistic simulations shows the competitiveness of the proposed method for cardiac motion estimation in ultrasound images.}\r\n}\r\n
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\n This paper introduces a 2D optical flow estimation method for cardiac ultrasound imaging based on a sparse representation. The optical flow problem is regularized using a classical gradient-based smoothness term combined with a sparsity inducing regularization that uses a learned cardiac flow dictionary. A particular emphasis is put on the influence of the spatial and sparse regularizations on the optical flow estimation problem. A comparison with state-of-the-art methods using realistic simulations shows the competitiveness of the proposed method for cardiac motion estimation in ultrasound images.\n
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\n \n\n \n \n \n \n \n \n Dental root canal segmentation from super-resolved 3D cone beam computed tomography data .\n \n \n \n \n\n\n \n Sfeir, R.; Michetti, J.; Chebaro, B.; Diemer, F.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE Nuclear Science Symposium and Medical Imaging Conference, Atlanta, 21/10/2017-28/10/2017, pages 1–2, http://www.ieee.org/, octobre 2017. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"DentalPaper\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 
@InProceedings{ Sf2017.1,\r\nauthor = {Sfeir, Rose and Michetti, Jérôme and Chebaro, Bilal and Diemer, Franck and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Dental root canal segmentation from super-resolved 3D cone beam computed tomography data }",\r\nbooktitle = "{IEEE Nuclear Science Symposium and Medical Imaging Conference, Atlanta, 21/10/2017-28/10/2017}",\r\nyear = {2017},\r\nmonth = {octobre},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {1--2},\r\nlanguage = {anglais},\r\nURL = {https://doi.org/10.1109/NSSMIC.2017.8533054 - https://oatao.univ-toulouse.fr/24693/},\r\nabstract = {This paper aims at evaluating the potential of super-resolution (SR) image processing to enhance the resolution of Cone Beam Computed Tomography (CBCT) images and to further improve the root canal segmentation in endodontics. First we perform SR based on a linear model, then, we apply an automated segmentation procedure to native and super-resolved CBCT volumes in order to extract the root canal structure. Seven intact extracted teeth have been used to evaluate the potential of SR CBCT in detecting the dental root canal. For all the considered teeth, the SR CBCT volumes provided a smaller error compared to the native CBCT data.}\r\n}\r\n
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\n This paper aims at evaluating the potential of super-resolution (SR) image processing to enhance the resolution of Cone Beam Computed Tomography (CBCT) images and to further improve the root canal segmentation in endodontics. First we perform SR based on a linear model, then, we apply an automated segmentation procedure to native and super-resolved CBCT volumes in order to extract the root canal structure. Seven intact extracted teeth have been used to evaluate the potential of SR CBCT in detecting the dental root canal. For all the considered teeth, the SR CBCT volumes provided a smaller error compared to the native CBCT data.\n
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\n \n\n \n \n \n \n \n Compressed quantitative acoustic microscopy .\n \n \n \n\n\n \n Kim, J.; Hill, P.; Canagarajah, N.; Rohrbach, D.; Kouamé, D.; Mamou, J.; Achim, A.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Washington, 06/09/17-09/09/17, pages 1–4, http://www.ieee.org/, septembre 2017. 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
\n 
@InProceedings{ Ki2017.1,\r\nauthor = {Kim, Jonghoon and Hill, Paul and Canagarajah, Nishan and Rohrbach, Daniel and Kouamé, Denis and Mamou, Jonathan and Achim, Alin and Basarab, Adrian},\r\ntitle = "{Compressed quantitative acoustic microscopy }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Washington, 06/09/17-09/09/17}",\r\nyear = {2017},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Validation of image restoration methods on 3D-printed ultrasound phantoms .\n \n \n \n\n\n \n Füzesi, K.; Basarab, A.; Cserey, G.; Kouamé, D.; and Gyöngy, M.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Washington, 06/09/17-09/09/17, pages 1–4, http://www.ieee.org/, septembre 2017. 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{ F2017.1,\r\nauthor = {Füzesi, Krisztián and Basarab, Adrian and Cserey, György and Kouamé, Denis and Gyöngy, Miklós},\r\ntitle = "{Validation of image restoration methods on 3D-printed ultrasound phantoms }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Washington, 06/09/17-09/09/17}",\r\nyear = {2017},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Tissue motion estimation using dictionary learning: application to cardiac amyloidosis .\n \n \n \n\n\n \n Ouzir, N. L.; Lairez, O.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Washington, 06/09/17-09/09/17, pages 1–4, http://www.ieee.org/, septembre 2017. 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{ Ou2017.2,\r\nauthor = {Ouzir, Nora Leïla and Lairez, Olivier and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Tissue motion estimation using dictionary learning: application to cardiac amyloidosis }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Washington, 06/09/17-09/09/17}",\r\nyear = {2017},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Cardiac motion estimation in ultrasound images using spatial and sparse regularizations .\n \n \n \n\n\n \n Ouzir, N. L.; Basarab, A.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, 17/09/17-20/09/17, pages 780–784, http://www.ieee.org/, septembre 2017. 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{ Ou2017.1,\r\nauthor = {Ouzir, Nora Leïla and Basarab, Adrian and Tourneret, Jean-Yves},\r\ntitle = "{Cardiac motion estimation in ultrasound images using spatial and sparse regularizations }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, 17/09/17-20/09/17}",\r\nyear = {2017},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {780--784},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method .\n \n \n \n\n\n \n Basarab, A.; Rohrbach, D.; Zhao, N.; Tourneret, J.; Kouamé, D.; and Mamou, J.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging, Melbourne, 18/04/17-21/04/17, pages 827–830, http://www.ieee.org/, avril 2017. 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{ Ba2017.2,\r\nauthor = {Basarab, Adrian and Rohrbach, Daniel and Zhao, Ningning and Tourneret, Jean-Yves and Kouamé, Denis and Mamou, Jonathan},\r\ntitle = "{Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging, Melbourne, 18/04/17-21/04/17}",\r\nyear = {2017},\r\nmonth = {avril},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {827--830},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Enhanced ultrasound image reconstruction using a compressive blind deconvolution approach .\n \n \n \n\n\n \n Chen, Z.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, 05/03/17-09/03/17, pages 6245–6249, http://www.ieee.org/, mars 2017. IEEE\n (Special session)\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{ Ch2017.2,\r\nauthor = {Chen, Zhouye and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Enhanced ultrasound image reconstruction using a compressive blind deconvolution approach }",\r\nbooktitle = "{IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, 05/03/17-09/03/17}",\r\nyear = {2017},\r\nmonth = {mars},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {6245--6249},\r\nlanguage = {anglais},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n Sparse representation and dictionary learning: application to motion estimation in echocardiography (The Artimino Conference on Medical Ultrasound Technology, Artimino, Italy, 11/06/17-14/06/17).\n \n \n \n\n\n \n Basarab, A.\n\n\n \n\n\n\n 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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@Unpublished{ Ba2017.16,\r\nauthor = {Basarab, Adrian},\r\ntitle = "{Sparse representation and dictionary learning: application to motion estimation in echocardiography (The Artimino Conference on Medical Ultrasound Technology, Artimino, Italy, 11/06/17-14/06/17)}",\r\nyear = {2017},\r\nlanguage = {anglais}\r\n}\r\n
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\n  \n 2016\n \n \n (16)\n \n \n
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\n \n\n \n \n \n \n \n \n Beamforming through regularized inverse problems in ultrasound medical imaging.\n \n \n \n \n\n\n \n Szasz, T.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 63(12): 2031–2044. décembre 2016.\n \n\n\n\n
\n\n\n\n \n \n \"BeamformingPaper\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{ Sz2016.3,\r\nauthor = {Szasz, Teodora and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Beamforming through regularized inverse problems in ultrasound medical imaging}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2016},\r\nmonth = {décembre},\r\nvolume = {63},\r\nnumber = {12},\r\npages = {2031--2044},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/17153/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Reconstruction of Enhanced Ultrasound Images From Compressed Measurements Using Simultaneous Direction Method of Multipliers.\n \n \n \n \n\n\n \n Chen, Z.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 63(10): 1525–1534. octobre 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ReconstructionPaper\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{ Ch2016.18,\r\nauthor = {Chen, Zhouye and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Reconstruction of Enhanced Ultrasound Images From Compressed Measurements Using Simultaneous Direction Method of Multipliers}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2016},\r\nmonth = {octobre},\r\nvolume = {63},\r\nnumber = {10},\r\npages = {1525--1534},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/17123/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey.\n \n \n \n \n\n\n \n Alberdi Aramendi, A.; Aztiria, A.; and Basarab, A.\n\n\n \n\n\n\n Artificial Intelligence in Medicine, 71: 1–29. juillet 2016.\n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\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{ Al2016.1,\r\nauthor = {Alberdi Aramendi, Ane and Aztiria, Asier and Basarab, Adrian},\r\ntitle = "{On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey}",\r\njournal = {Artificial Intelligence in Medicine},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2016},\r\nmonth = {juillet},\r\nvolume = {71},\r\npages = {1--29},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/17021/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Fast Single Image Super-resolution using a New Analytical Solution for l2-l2 Problems.\n \n \n \n \n\n\n \n Zhao, N.; Wei, Q.; Basarab, A.; Dobigeon, N.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Transactions on Image Processing, 25(8): 3683–3697. août 2016.\n \n\n\n\n
\n\n\n\n \n \n \"FastPaper\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{ Zh2016.3,\r\nauthor = {Zhao, Ningning and Wei, Qi and Basarab, Adrian and Dobigeon, Nicolas and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Fast Single Image Super-resolution using a New Analytical Solution for l2-l2 Problems}",\r\njournal = {IEEE Transactions on Image Processing},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2016},\r\nmonth = {août},\r\nvolume = {25},\r\nnumber = {8},\r\npages = {3683--3697},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/16140/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors.\n \n \n \n \n\n\n \n Zhao, N.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n IEEE Transactions on Image Processing, 25(8): 3736–3750. août 2016.\n \n\n\n\n
\n\n\n\n \n \n \"JointPaper\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{ Zh2016.2,\r\nauthor = {Zhao, Ningning and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors}",\r\njournal = {IEEE Transactions on Image Processing},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2016},\r\nmonth = {août},\r\nvolume = {25},\r\nnumber = {8},\r\npages = {3736--3750},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/16141/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review.\n \n \n \n \n\n\n \n Alberdi Aramendi, A.; Aztiria, A.; and Basarab, A.\n\n\n \n\n\n\n Journal of Biomedical Informatics, 59: 49–75. février 2016.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\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{ AlAzBa2016.1,\r\nauthor = {Alberdi Aramendi, Ane and Aztiria, Asier and Basarab, Adrian},\r\ntitle = "{Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review}",\r\njournal = {Journal of Biomedical Informatics},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2016},\r\nmonth = {février},\r\nvolume = {59},\r\npages = {49--75},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15050/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Strong reflector-based beamforming in ultrasound medical imaging.\n \n \n \n \n\n\n \n Szasz, T.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n Ultrasonics, 66: 111–124. mars 2016.\n \n\n\n\n
\n\n\n\n \n \n \"StrongPaper\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{ SzBaKo2016.1,\r\nauthor = {Szasz, Teodora and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Strong reflector-based beamforming in ultrasound medical imaging}",\r\njournal = {Ultrasonics},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2016},\r\nmonth = {mars},\r\nvolume = {66},\r\npages = {111--124},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/16872/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Compressive deconvolution in medical ultrasound imaging.\n \n \n \n \n\n\n \n Chen, Z.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Transactions on Medical Imaging, 35(3): 728–737. mars 2016.\n \n\n\n\n
\n\n\n\n \n \n \"CompressivePaper\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{ ChBaKo2016.1,\r\nauthor = {Chen, Zhouye and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Compressive deconvolution in medical ultrasound imaging}",\r\njournal = {IEEE Transactions on Medical Imaging},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2016},\r\nmonth = {mars},\r\nvolume = {35},\r\nnumber = {3},\r\npages = {728--737},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/16868/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n l1-norm regularized beamforming in ultrasound imaging .\n \n \n \n \n\n\n \n Szasz, T.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Tours, France, 18/09/16-21/09/16, pages 1–3, http://www.ieee.org/, septembre 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"l1-normPaper\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{ Sz2016.4,\r\nauthor = {Szasz, Teodora and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{l1-norm regularized beamforming in ultrasound imaging }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Tours, France, 18/09/16-21/09/16}",\r\nyear = {2016},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--3},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/17260/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Blind Deconvolution of Medical Ultrasound Images Using a Parametric Model for the Point Spread Function .\n \n \n \n \n\n\n \n Zhao, N.; Wei, Q.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Tours, France, 18/09/16-21/09/16, pages 1–4, http://www.ieee.org/, septembre 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"BlindPaper\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{ Zh2016.4,\r\nauthor = {Zhao, Ningning and Wei, Qi and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Blind Deconvolution of Medical Ultrasound Images Using a Parametric Model for the Point Spread Function }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Tours, France, 18/09/16-21/09/16}",\r\nyear = {2016},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/17011/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Beamforming of ultrasound images modelled as stable random variables .\n \n \n \n \n\n\n \n Szasz, T.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Tours, France, 18/09/16-21/09/16, pages 1–4, http://www.ieee.org/, septembre 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"BeamformingPaper\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{ Sz2016.2,\r\nauthor = {Szasz, Teodora and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Beamforming of ultrasound images modelled as stable random variables }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Tours, France, 18/09/16-21/09/16}",\r\nyear = {2016},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/17010/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Ultrasound image reconstruction from compressed measurements using approximate message passing .\n \n \n \n \n\n\n \n Kim, J.; Basarab, A.; Hill, P.; Bull, D.; Kouamé, D.; and Achim, A. M.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2016), Budapest, Hungary, 29/08/2016-02/09/2016, pages 557–561, http://www.ieee.org/, 2016. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"UltrasoundPaper\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{ Ki2016.1,\r\nauthor = {Kim, Jonghoon and Basarab, Adrian and Hill, Paul and Bull, David and Kouamé, Denis and Achim, Alin Marian},\r\ntitle = "{Ultrasound image reconstruction from compressed measurements using approximate message passing }",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2016), Budapest, Hungary, 29/08/2016-02/09/2016}",\r\nyear = {2016},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {557--561},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/17008/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Compressive imaging using approximate message passing and a Cauchy prior in the wavelet domain .\n \n \n \n \n\n\n \n Hill, P.; Kim, J.; Basarab, A.; Kouamé, D.; Bull, D.; and Achim, A. M.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2016), Phoenix, Arizona, USA, 25/09/2016-28/09/2016, pages 2514–2518, http://www.ieee.org/, 2016. IEEE : Institute of Electrical and Electronics Engineers\n \n\n\n\n
\n\n\n\n \n \n \"CompressivePaper\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{ Hi2016.1,\r\nauthor = {Hill, Paul and Kim, Jonghoon and Basarab, Adrian and Kouamé, Denis and Bull, David and Achim, Alin Marian},\r\ntitle = "{Compressive imaging using approximate message passing and a Cauchy prior in the wavelet domain }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2016), Phoenix, Arizona, USA, 25/09/2016-28/09/2016}",\r\nyear = {2016},\r\npublisher = {IEEE : Institute of Electrical and Electronics Engineers},\r\naddress = {http://www.ieee.org/},\r\npages = {2514--2518},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/16992/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Super-resolution of medical ultrasound images using a fast algorithm .\n \n \n \n \n\n\n \n Zhao, N.; Wei, Q.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Prague, 13/04/16-16/04/16, pages 473–476, http://www.ieee.org/, avril 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Super-resolutionPaper\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{ Zh2016.1,\r\nauthor = {Zhao, Ningning and Wei, Qi and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Super-resolution of medical ultrasound images using a fast algorithm }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Prague, 13/04/16-16/04/16}",\r\nyear = {2016},\r\nmonth = {avril},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {473--476},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/16892/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Elastic-net based beamforming in medical ultrasound imaging .\n \n \n \n \n\n\n \n Szasz, T.; Basarab, A.; Vaida, M.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Prague, 13/04/16-16/04/16, pages 477–480, http://www.ieee.org/, avril 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Elastic-netPaper\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{ Sz2016.1,\r\nauthor = {Szasz, Teodora and Basarab, Adrian and Vaida, Mircea-Florin and Kouamé, Denis},\r\ntitle = "{Elastic-net based beamforming in medical ultrasound imaging }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Prague, 13/04/16-16/04/16}",\r\nyear = {2016},\r\nmonth = {avril},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {477--480},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/16891/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Quelques problèmes inverses en imagerie ultrasonore.\n \n \n \n\n\n \n Basarab, A.\n\n\n \n\n\n\n Ph.D. Thesis, Université Paul Sabatier, Toulouse, France, novembre 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
\n 
@PhDThesis{ Ba2016.9,\r\nauthor = {Basarab, Adrian},\r\ntitle = "{Quelques problèmes inverses en imagerie ultrasonore}",\r\nyear = {2016},\r\nmonth = {novembre},\r\ntype = {Habilitation à diriger des recherches},\r\nschool = {Université Paul Sabatier},\r\naddress = {Toulouse, France},\r\nlanguage = {francais}\r\n}\r\n
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\n  \n 2015\n \n \n (14)\n \n \n
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\n \n\n \n \n \n \n \n \n Reconstruction of ultrasound RF echoes modelled as stable random variables.\n \n \n \n \n\n\n \n Achim, A.; Basarab, A.; Tzagkarakis, G.; Tsakalides, P.; and Kouamé, D.\n\n\n \n\n\n\n IEEE Transactions on Computational Imaging, 1(2): 86–95. juin 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ReconstructionPaper\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{ Ac2015.1,\r\nauthor = {Achim, Alin and Basarab, Adrian and Tzagkarakis, George and Tsakalides, Panagiotis and Kouamé, Denis},\r\ntitle = "{Reconstruction of ultrasound RF echoes modelled as stable random variables}",\r\njournal = {IEEE Transactions on Computational Imaging},\r\npublisher = {IEEE Signal Processing Society},\r\naddress = {http://www.signalprocessingsociety.org},\r\nyear = {2015},\r\nmonth = {juin},\r\nvolume = {1},\r\nnumber = {2},\r\npages = {86--95},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/14970/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Analytic signal phase-based myocardial motion estimation in tagged MRI sequences by a bilinear model and motion compensation.\n \n \n \n \n\n\n \n Wang, L.; Basarab, A.; Girard, P.; Croisille, P.; Clarysse, P.; and Delachartre, P.\n\n\n \n\n\n\n Medical Image Analysis, 24(1): 149–162. août 2015.\n \n\n\n\n
\n\n\n\n \n \n \"AnalyticPaper\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{ Wa2015.2,\r\nauthor = {Wang, Liang and Basarab, Adrian and Girard, Patrick and Croisille, Pierre and Clarysse, Patrick and Delachartre, Philippe},\r\ntitle = "{Analytic signal phase-based myocardial motion estimation in tagged MRI sequences by a bilinear model and motion compensation}",\r\njournal = {Medical Image Analysis},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2015},\r\nmonth = {août},\r\nvolume = {24},\r\nnumber = {1},\r\npages = {149--162},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15350/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Motion Estimation-Based Image Enhancement in Ultrasound Imaging.\n \n \n \n \n\n\n \n Morin, R.; Basarab, A.; Bidon, S.; and Kouamé, D.\n\n\n \n\n\n\n Ultrasonics, 60: 19–26. juillet 2015.\n \n\n\n\n
\n\n\n\n \n \n \"MotionPaper\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{ Mo2015.2,\r\nauthor = {Morin, Renaud and Basarab, Adrian and Bidon, Stéphanie and Kouamé, Denis},\r\ntitle = "{Motion Estimation-Based Image Enhancement in Ultrasound Imaging}",\r\njournal = {Ultrasonics},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2015},\r\nmonth = {juillet},\r\nvolume = {60},\r\npages = {19--26},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/14818/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Resolution enhancement in medical ultrasound imaging.\n \n \n \n \n\n\n \n Ploquin, M.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n Journal of Medical Imaging, 2(1): 1–12. mars 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ResolutionPaper\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{ Ko2015.1,\r\nauthor = {Ploquin, Marie and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Resolution enhancement in medical ultrasound imaging}",\r\njournal = {Journal of Medical Imaging},\r\npublisher = {Society of Photo-Optical Instrumentation Engineers (SPIE)},\r\naddress = {http://spie.org/},\r\nyear = {2015},\r\nmonth = {mars},\r\nvolume = {2},\r\nnumber = {1},\r\npages = {1--12},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15226/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Joint compressive sampling and deconvolution in ultrasound medical imaging .\n \n \n \n \n\n\n \n Chen, Z.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Taipei, Taiwan, 21/10/15-24/10/15, pages 1–4, http://www.ieee.org/, octobre 2015. IEEE\n (distinction décernée : Best student paper finalist)\n\n\n\n
\n\n\n\n \n \n \"JointPaper\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{ Ch2015.15,\r\nauthor = {Chen, Zhouye and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Joint compressive sampling and deconvolution in ultrasound medical imaging }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Taipei, Taiwan, 21/10/15-24/10/15}",\r\nyear = {2015},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15330/},\r\nnote = { (distinction décernée : Best student paper finalist)}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Cone-Beam Computed Tomography contrast validation of an artificial periodontal phantom for use in endodontics .\n \n \n \n \n\n\n \n Michetti, J.; Basarab, A.; Tran, M.; Diemer, F.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2015), Milano, Italy, 25/08/15-29/08/15, pages 7905–7908, http://www.ieee.org/, août 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Cone-BeamPaper\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{ Mi2015.1,\r\nauthor = {Michetti, Jérôme and Basarab, Adrian and Tran, Michel and Diemer, Franck and Kouamé, Denis},\r\ntitle = "{Cone-Beam Computed Tomography contrast validation of an artificial periodontal phantom for use in endodontics }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2015), Milano, Italy, 25/08/15-29/08/15}",\r\nyear = {2015},\r\nmonth = {août},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {7905--7908},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15325/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n A simulation study on the choice of regularization parameter in l2-norm ultrasound image restoration .\n \n \n \n \n\n\n \n Chen, Z.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2015), Milano, Italy, 25/08/15-29/08/15, pages 6346–6349, http://www.ieee.org/, août 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"APaper\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{ Ch2015.13,\r\nauthor = {Chen, Zhouye and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{A simulation study on the choice of regularization parameter in l2-norm ultrasound image restoration }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2015), Milano, Italy, 25/08/15-29/08/15}",\r\nyear = {2015},\r\nmonth = {août},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {6346--6349},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15324/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Ultrasound compressive deconvolution with lp-norm prior .\n \n \n \n \n\n\n \n Chen, Z.; Zhao, N.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2015), Nice, France, 31/08/15-04/09/15, pages 2841–2845, http://www.eurasip.org/, septembre 2015. EURASIP\n (Special session)\n\n\n\n
\n\n\n\n \n \n \"UltrasoundPaper\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{ Ch2015.12,\r\nauthor = {Chen, Zhouye and Zhao, Ningning and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Ultrasound compressive deconvolution with lp-norm prior }",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2015), Nice, France, 31/08/15-04/09/15}",\r\nyear = {2015},\r\nmonth = {septembre},\r\npublisher = {EURASIP},\r\naddress = {http://www.eurasip.org/},\r\npages = {2841--2845},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15317/},\r\nnote = { (Special session)}\r\n}\r\n
\n
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\n \n\n \n \n \n \n \n \n The role of the image phase in cardiac imaging: recent advances and assessment of a new evaluation pipeline .\n \n \n \n \n\n\n \n Alessandrini, M.; Basarab, A.; De Craene, M.; Sermesant, M.; Liebgott, H.; Bernard, O.; and D'Hooge, J.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2015), Nice, France, 31/08/15-04/09/15, pages 2846–2850, http://www.eurasip.org/, septembre 2015. EURASIP\n (Special session)\n\n\n\n
\n\n\n\n \n \n \"ThePaper\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{ Al2015.2,\r\nauthor = {Alessandrini, Martino and Basarab, Adrian and De Craene, Mathieu and Sermesant, Maxime and Liebgott, Hervé and Bernard, Olivier and D'Hooge, Jan},\r\ntitle = "{The role of the image phase in cardiac imaging: recent advances and assessment of a new evaluation pipeline }",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2015), Nice, France, 31/08/15-04/09/15}",\r\nyear = {2015},\r\nmonth = {septembre},\r\npublisher = {EURASIP},\r\naddress = {http://www.eurasip.org/},\r\npages = {2846--2850},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/14906/},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Joint Bayesian Deconvolution And Point Spread Function Estimation For Ultrasound Imaging .\n \n \n \n \n\n\n \n Zhao, N.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, New York, 16/04/15-19/04/15, pages 235–238, http://www.ieee.org/, avril 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"JointPaper\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{ Zh2015.1,\r\nauthor = {Zhao, Ningning and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Joint Bayesian Deconvolution And Point Spread Function Estimation For Ultrasound Imaging }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, New York, 16/04/15-19/04/15}",\r\nyear = {2015},\r\nmonth = {avril},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {235--238},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15224/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Formation de voies avec renforcement des échos forts en imagerie ultrasonore .\n \n \n \n \n\n\n \n Szasz, T.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), Lyon, 08/09/2015-11/09/2015, pages (support électronique), http://www.traitementdusignal.fr/, septembre 2015. GRETSI CNRS\n \n\n\n\n
\n\n\n\n \n \n \"FormationPaper\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{ Sz2015.1,\r\nauthor = {Szasz, Teodora and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Formation de voies avec renforcement des échos forts en imagerie ultrasonore }",\r\nbooktitle = "{Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), Lyon, 08/09/2015-11/09/2015}",\r\nyear = {2015},\r\nmonth = {septembre},\r\npublisher = {GRETSI CNRS},\r\naddress = {http://www.traitementdusignal.fr/},\r\npages = {(support électronique)},\r\nlanguage = {francais},\r\nURL = {http://oatao.univ-toulouse.fr/16844/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Joint inverse problems in ultrasound imaging (The Artimino Conference on Medical Ultrasound Technology, Örenäs Slott, Sweden, 07/06/2015-10/06/2015).\n \n \n \n\n\n \n Basarab, A.\n\n\n \n\n\n\n 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
\n 
@Unpublished{ Ba2015.8,\r\nauthor = {Basarab, Adrian},\r\ntitle = "{Joint inverse problems in ultrasound imaging (The Artimino Conference on Medical Ultrasound Technology, Örenäs Slott, Sweden, 07/06/2015-10/06/2015)}",\r\nyear = {2015},\r\nlanguage = {francais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Phase-Based Heart Motion Estimation in Multimodality Cardiac Imaging.\n \n \n \n \n\n\n \n Alessandrini, M.; Basarab, A.; Bernard, O.; and Delachartre, P.\n\n\n \n\n\n\n In Patrick, C.; and Friboulet, D., editor(s), Multi-Modality Cardiac Imaging, pages (on line). John Wiley and Sons, http://www.wiley.com, juin 2015.\n \n\n\n\n
\n\n\n\n \n \n \"Phase-BasedPaper\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 
@InCollection{ Al2015.6,\r\nauthor = {Alessandrini, Martino and Basarab, Adrian and Bernard, Olivier and Delachartre, Philippe},\r\ntitle = "{Phase-Based Heart Motion Estimation in Multimodality Cardiac Imaging}",\r\nbooktitle = "{Multi-Modality Cardiac Imaging}",\r\npublisher = {John Wiley and Sons},\r\naddress = {http://www.wiley.com},\r\nyear = {2015},\r\nmonth = {juin},\r\neditor = {Patrick, Clarysse and Friboulet, Denis},\r\npages = {(on line)},\r\nlanguage = {anglais},\r\nURL = {http://onlinelibrary.wiley.com/doi/10.1002/9781118574362.ch6/summary}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Estimation du mouvement du coeur basée sur la phase en imagerie cardiaque multimodalités.\n \n \n \n \n\n\n \n Alessandrini, M.; Basarab, A.; Bernard, O.; and Delachartre, P.\n\n\n \n\n\n\n In Science, H., editor(s), Traitement et analyse d'images cardiaques, pages 221–248. Lavoisier, http://www.editions-hermes.fr/, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"EstimationPaper\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 
@InCollection{ BaBeDe2015.1,\r\nauthor = {Alessandrini, Martino and Basarab, Adrian and Bernard, Olivier and Delachartre, Philippe},\r\ntitle = "{Estimation du mouvement du coeur basée sur la phase en imagerie cardiaque multimodalités}",\r\nbooktitle = "{Traitement et analyse d'images cardiaques}",\r\npublisher = {Lavoisier},\r\naddress = {http://www.editions-hermes.fr/},\r\nyear = {2015},\r\neditor = {Science, Hermes},\r\npages = {221--248},\r\nlanguage = {francais},\r\nURL = {http://editions.lavoisier.fr/medecine/traitement-et-analyse-d-images-cardiaques/clarysse/hermes-science-publications/traite-ic2/livre/9782746246843}\r\n}\r\n
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\n  \n 2014\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n A New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: a preliminary evaluation in silico and a feasibility demonstration in vivo.\n \n \n \n \n\n\n \n Alessandrini, M.; Basarab, A.; Boussel, L.; Guo, X.; Serusclat, A.; Friboulet, D.; Kouamé, D.; Bernard, O.; and Liebgott, H.\n\n\n \n\n\n\n IEEE Transactions on Medical Imaging, 33(5): 1148–1162. mai 2014.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\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{ Al2014.2,\r\nauthor = {Alessandrini, Martino and Basarab, Adrian and Boussel, Loic and Guo, Xinxin and Serusclat, André and Friboulet, Denis and Kouamé, Denis and Bernard, Olivier and Liebgott, Hervé},\r\ntitle = "{A New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: a preliminary evaluation in silico and a feasibility demonstration in vivo}",\r\njournal = {IEEE Transactions on Medical Imaging},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2014},\r\nmonth = {mai},\r\nvolume = {33},\r\nnumber = {5},\r\npages = {1148--1162},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/12909/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Compressive-Sensing-based Multidimensional Doppler signal analysis for fetal activity monitoring .\n \n \n \n \n\n\n \n Basarab, A.; Quinsac, C.; Girault, J.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Chicago, 03/09/14-06/09/14, pages 1073–1076, http://www.ieee.org/, septembre 2014. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Compressive-Sensing-basedPaper\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{ Ba2014.13,\r\nauthor = {Basarab, Adrian and Quinsac, Céline and Girault, Jean-Marc and Kouamé, Denis},\r\ntitle = "{Compressive-Sensing-based Multidimensional Doppler signal analysis for fetal activity monitoring }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Chicago, 03/09/14-06/09/14}",\r\nyear = {2014},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1073--1076},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/13081/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Beamforming with sparse prior in ultrasound medical imaging .\n \n \n \n \n\n\n \n Szasz, T.; Basarab, A.; Vaida, M. F.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Chicago, 03/09/14-06/09/14, pages 1077–1080, http://www.ieee.org/, septembre 2014. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"BeamformingPaper\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{ Sz2014.1,\r\nauthor = {Szasz, Teodora and Basarab, Adrian and Vaida, Mircea Florin and Kouamé, Denis},\r\ntitle = "{Beamforming with sparse prior in ultrasound medical imaging }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Chicago, 03/09/14-06/09/14}",\r\nyear = {2014},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1077--1080},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/13080/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Restoration of Ultrasound Images Using A Hierarchical Bayesian Model with A Generalized Gaussian Prior .\n \n \n \n \n\n\n \n Zhao, N.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2014), Paris, France, 27/10/14-30/10/14, pages 4577–4581, http://www.ieee.org/, octobre 2014. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"RestorationPaper\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{ Zh2014.3,\r\nauthor = {Zhao, Ningning and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Restoration of Ultrasound Images Using A Hierarchical Bayesian Model with A Generalized Gaussian Prior }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2014), Paris, France, 27/10/14-30/10/14}",\r\nyear = {2014},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {4577--4581},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15170/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Reconstruction of Compressively Sampled Ultrasound Images Using Dual Prior Information .\n \n \n \n \n\n\n \n Achim, A. M.; Basarab, A.; Tzagkarakis, G.; Tsakalides, P.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2014), Paris, France, 27/10/14-30/10/14, pages 1283–1286, http://www.ieee.org/, octobre 2014. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ReconstructionPaper\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{ Ac2014.1,\r\nauthor = {Achim, Alin Marian and Basarab, Adrian and Tzagkarakis, George and Tsakalides, Panagiotis and Kouamé, Denis},\r\ntitle = "{Reconstruction of Compressively Sampled Ultrasound Images Using Dual Prior Information }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2014), Paris, France, 27/10/14-30/10/14}",\r\nyear = {2014},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1283--1286},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/15169/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Medical ultrasound image reconstruction using compressive sampling and lp norm minimization .\n \n \n \n \n\n\n \n Basarab, A.; Achim, A. M.; and Kouamé, D.\n\n\n \n\n\n\n In SPIE Medical Imaging, San Diego, USA, 15/02/14-20/02/14, pages (electronic medium), http://spie.org, février 2014. SPIE - Medical Imaging\n \n\n\n\n
\n\n\n\n \n \n \"MedicalPaper\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{ Ba2014.1,\r\nauthor = {Basarab, Adrian and Achim, Alin Marian and Kouamé, Denis},\r\ntitle = "{Medical ultrasound image reconstruction using compressive sampling and lp norm minimization }",\r\nbooktitle = "{SPIE Medical Imaging, San Diego, USA, 15/02/14-20/02/14}",\r\nyear = {2014},\r\nmonth = {février},\r\npublisher = {SPIE - Medical Imaging},\r\naddress = {http://spie.org},\r\npages = {(electronic medium)},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/12733/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Avancés et défis en imagerie médicale ultrasonore basée sur l'échantillonnage compressé (Congrès Français d'Acoustique, Poitiers, 22/04/2014-25/04/2014).\n \n \n \n\n\n \n Basarab, A.; Kouamé, D.; Bernard, O.; Friboulet, D.; and Liebgott, H.\n\n\n \n\n\n\n 2014.\n (Special session)\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 
@Unpublished{ Ba2014.5,\r\nauthor = {Basarab, Adrian and Kouamé, Denis and Bernard, Olivier and Friboulet, Denis and Liebgott, Hervé},\r\ntitle = "{Avancés et défis en imagerie médicale ultrasonore basée sur l'échantillonnage compressé (Congrès Français d'Acoustique, Poitiers, 22/04/2014-25/04/2014)}",\r\nyear = {2014},\r\nlanguage = {francais},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Imagerie Ultrasonore.\n \n \n \n \n\n\n \n Vray, D.; Brusseau, E.; Detti, V.; Varray, F.; Basarab, A.; Beuf, O.; Basset, O.; Cachard, C.; Liebgott, H.; and Delachartre, P.\n\n\n \n\n\n\n In Fanet, H., editor(s), Imagerie Médicale à Base de Champs Magnétiques et d'Ultrasons, pages (en ligne). Hermès, http://www.editions-hermes.fr/, avril 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ImageriePaper\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 
@InCollection{ Vr2014.2,\r\nauthor = {Vray, Didier and Brusseau, Elisabeth and Detti, Valérie and Varray, François and Basarab, Adrian and Beuf, Olivier and Basset, Olivier and Cachard, Christian and Liebgott, Hervé and Delachartre, Philippe},\r\ntitle = "{Imagerie Ultrasonore}",\r\nbooktitle = "{Imagerie Médicale à Base de Champs Magnétiques et d'Ultrasons}",\r\npublisher = {Hermès},\r\naddress = {http://www.editions-hermes.fr/},\r\nyear = {2014},\r\nmonth = {avril},\r\neditor = {Fanet, Hervé},\r\npages = {(en ligne)},\r\nlanguage = {francais},\r\nURL = {https://hal.archives-ouvertes.fr/hal-00976660/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Ultrasound Medical Imaging.\n \n \n \n \n\n\n \n Vray, D.; Brusseau, E.; Detti, V.; Varray, F.; Basarab, A.; Beuf, O.; Basset, O.; Cachard, C.; Liebgott, H.; and Delachartre, P.\n\n\n \n\n\n\n In Fanet, H., editor(s), Medical Imaging Based on Magnetic Fields and Ultrasounds, pages (on line). John Wiley and Sons, http://www.wiley.com, mars 2014.\n \n\n\n\n
\n\n\n\n \n \n \"UltrasoundPaper\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 
@InCollection{ Vr2014.1,\r\nauthor = {Vray, Didier and Brusseau, Elisabeth and Detti, Valérie and Varray, François and Basarab, Adrian and Beuf, Olivier and Basset, Olivier and Cachard, Christian and Liebgott, Hervé and Delachartre, Philippe},\r\ntitle = "{Ultrasound Medical Imaging}",\r\nbooktitle = "{Medical Imaging Based on Magnetic Fields and Ultrasounds}",\r\npublisher = {John Wiley and Sons},\r\naddress = {http://www.wiley.com},\r\nyear = {2014},\r\nmonth = {mars},\r\neditor = {Fanet, Hervé},\r\npages = {(on line)},\r\nlanguage = {anglais},\r\nURL = {http://onlinelibrary.wiley.com/doi/10.1002/9781118761236.ch1/summary}\r\n}\r\n
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\n  \n 2013\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Myocardial Motion Estimation from Medical Images Using the Monogenic Signal.\n \n \n \n \n\n\n \n Alessandrini, M.; Basarab, A.; Liebgott, H.; and Bernard, O.\n\n\n \n\n\n\n IEEE Transactions on Image Processing, 22(3): 1084–1095. mars 2013.\n \n\n\n\n
\n\n\n\n \n \n \"MyocardialPaper\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{ AlBaLiBe2013.1,\r\nauthor = {Alessandrini, Martino and Basarab, Adrian and Liebgott, Hervé and Bernard, Olivier},\r\ntitle = "{Myocardial Motion Estimation from Medical Images Using the Monogenic Signal}",\r\njournal = {IEEE Transactions on Image Processing},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2013},\r\nmonth = {mars},\r\nvolume = {22},\r\nnumber = {3},\r\npages = {1084--1095},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/12331/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Multiscale optical flow computation from the monogenic signal.\n \n \n \n \n\n\n \n Alessandrini, M.; Bernard, O.; Basarab, A.; and Liebgott, H.\n\n\n \n\n\n\n IRBM (Ingénierie et Recherche BioMédicale), 34: 33–37. février 2013.\n \n\n\n\n
\n\n\n\n \n \n \"MultiscalePaper\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{ Ba2013.4,\r\nauthor = {Alessandrini, Martino and Bernard, Olivier and Basarab, Adrian and Liebgott, Hervé},\r\ntitle = "{Multiscale optical flow computation from the monogenic signal}",\r\njournal = {IRBM (Ingénierie et Recherche BioMédicale)},\r\npublisher = {Elsevier Masson},\r\naddress = {http://elsevier-masson.fr},\r\nyear = {2013},\r\nmonth = {février},\r\nvolume = {34},\r\npages = {33--37},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/12405/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging .\n \n \n \n \n\n\n \n Morin, R.; Bidon, S.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2013), Melbourne, Australia, 15/09/13-18/09/13, pages 1413–1417, http://www.ieee.org/, septembre 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"Semi-BlindPaper\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{ Mo2013.4,\r\nauthor = {Morin, Renaud and Bidon, Stéphanie and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Semi-Blind Deconvolution for Resolution Enhancement in Ultrasound Imaging }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2013), Melbourne, Australia, 15/09/13-18/09/13}",\r\nyear = {2013},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1413--1417},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/12460/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Cardiac motion assessement from echocardiographic image sequences by means of the structure multivector .\n \n \n \n \n\n\n \n Alessandrini, M.; Basarab, A.; Liebgott, H.; and Bernard, O.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Prague, 21/07/13-25/07/13, pages 1541–1544, http://www.ieee.org/, juillet 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"CardiacPaper\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{ Al2013.5,\r\nauthor = {Alessandrini, Martino and Basarab, Adrian and Liebgott, Hervé and Bernard, Olivier},\r\ntitle = "{Cardiac motion assessement from echocardiographic image sequences by means of the structure multivector }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Prague, 21/07/13-25/07/13}",\r\nyear = {2013},\r\nmonth = {juillet},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1541--1544},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/12454/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Medical ultrasound image reconstruction using distributed compressive sampling .\n \n \n \n \n\n\n \n Basarab, A.; Liebgott, H.; Bernard, O.; Friboulet, D.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, 07/04/13-11/04/13, pages 628–631, http://www.ieee.org/, avril 2013. IEEE\n (Special session)\n\n\n\n
\n\n\n\n \n \n \"MedicalPaper\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{ Ba2013.1,\r\nauthor = {Basarab, Adrian and Liebgott, Hervé and Bernard, Olivier and Friboulet, Denis and Kouamé, Denis},\r\ntitle = "{Medical ultrasound image reconstruction using distributed compressive sampling }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, San Francisco, 07/04/13-11/04/13}",\r\nyear = {2013},\r\nmonth = {avril},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {628--631},\r\nlanguage = {anglais},\r\nURL = {http://oatao.univ-toulouse.fr/12355/},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n TestDose: a SPECT image generator for clinical dosimetry studies .\n \n \n \n \n\n\n \n Garcia, M.; Bardiès, M.; Der Sarkissian, H.; Mckay, E.; Ferrer, L.; Batatia, H.; Basarab, A.; Tourneret, J.; and Kouamé, D.\n\n\n \n\n\n\n In SPIE Medical Imaging, Orlando, 09/02/13-14/02/13, pages (on line), http://spie.org, février 2013. SPIE - Medical Imaging\n \n\n\n\n
\n\n\n\n \n \n \"TestDose:Paper\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{ GaBaDeMcFeBaBaToKo2013.1,\r\nauthor = {Garcia, Marie-Paule and Bardiès, Manuel and Der Sarkissian, Henri and Mckay, Erin and Ferrer, Ludovic and Batatia, Hadj and Basarab, Adrian and Tourneret, Jean-Yves and Kouamé, Denis},\r\ntitle = "{TestDose: a SPECT image generator for clinical dosimetry studies }",\r\nbooktitle = "{SPIE Medical Imaging, Orlando, 09/02/13-14/02/13}",\r\nyear = {2013},\r\nmonth = {février},\r\npublisher = {SPIE - Medical Imaging},\r\naddress = {http://spie.org},\r\npages = {(on line)},\r\nlanguage = {anglais},\r\nURL = {http://dx.doi.org/10.1117/12.2007840 - http://oatao.univ-toulouse.fr/12332/}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Amélioration de la résolution des images ultrasonores en mode B par déconvolution semi-aveugle .\n \n \n \n \n\n\n \n Morin, R.; Bidon, S.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2013), Brest, 03/09/2013-06/09/2013, pages (support électronique), http://www.traitementdusignal.fr/, septembre 2013. GRETSI CNRS\n \n\n\n\n
\n\n\n\n \n \n \"AméliorationPaper\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{ Mo2013.5,\r\nauthor = {Morin, Renaud and Bidon, Stéphanie and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Amélioration de la résolution des images ultrasonores en mode B par déconvolution semi-aveugle }",\r\nbooktitle = "{Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2013), Brest, 03/09/2013-06/09/2013}",\r\nyear = {2013},\r\nmonth = {septembre},\r\npublisher = {GRETSI CNRS},\r\naddress = {http://www.traitementdusignal.fr/},\r\npages = {(support électronique)},\r\nlanguage = {francais},\r\nURL = {http://oatao.univ-toulouse.fr/12468/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Oscillations transverses et estimation du mouvement échocardiographie : le Tagging Ultrasonore (SIAM - Signal et Image en Acoustique Médicale, Tours, 10/06/2013-11/06/2013).\n \n \n \n\n\n \n Liebgott, H.; Bernard, O.; Basarab, A.; Boussel, L.; Alessandrini, M.; Guo, X.; André, S.; and Friboulet, D.\n\n\n \n\n\n\n 2013.\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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@Unpublished{ Li2013.1,\r\nauthor = {Liebgott, Hervé and Bernard, Olivier and Basarab, Adrian and Boussel, Loïc and Alessandrini, Martino and Guo, Xinxin and André, Sérusclat and Friboulet, Denis},\r\ntitle = "{Oscillations transverses et estimation du mouvement échocardiographie : le Tagging Ultrasonore (SIAM - Signal et Image en Acoustique Médicale, Tours, 10/06/2013-11/06/2013)}",\r\nyear = {2013},\r\nlanguage = {francais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Brevet : Procédé d'estimation du mouvement dans une séquence d'images dynamiques, n°s FR20110056221 20110708.\n \n \n \n \n\n\n \n Basarab, A.; Clarysse, P.; Croisille, P.; and Delachartre, P.\n\n\n \n\n\n\n Diffusion scientifique, janvier 2013.\n \n\n\n\n
\n\n\n\n \n \n \"BrevetPaper\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{ Ba2013.2,\r\nauthor = {Basarab, Adrian and Clarysse, Patrick and Croisille, Pierre and Delachartre, Philippe},\r\ntitle = "{Brevet : Procédé d'estimation du mouvement dans une séquence d'images dynamiques, n°s FR20110056221 20110708}",\r\nyear = {2013},\r\nmonth = {janvier},\r\nhowpublished = {Diffusion scientifique},\r\nlanguage = {français},\r\nURL = {http://fr.espacenet.com/publicationDetails/biblio?FT=D&date=20130111&DB=fr.espacenet.com&locale=fr_FR&CC=FR&NR=2977696A1&KC=A1}\r\n}
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\n  \n 2012\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n Frequency domain compressive sampling for ultrasound imaging.\n \n \n \n \n\n\n \n Quinsac, C.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n Advances in Acoustics and Vibration, Advances in Acoustic Sensing, Imaging, and Signal Processing, 12: 1–16. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"FrequencyPaper\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{ QuBaKo2012.1,\r\nauthor = {Quinsac, Céline and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Frequency domain compressive sampling for ultrasound imaging}",\r\njournal = {Advances in Acoustics and Vibration, Advances in Acoustic Sensing, Imaging, and Signal Processing},\r\npublisher = {Hindawi Publishing Corporation},\r\naddress = {http://www.hindawi.com},\r\nyear = {2012},\r\nvolume = {12},\r\npages = {1--16},\r\nlanguage = {anglais},\r\nURL = {http://www.hindawi.com/journals/aav/2012/231317/}\r\n}\r\n
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\n \n\n \n \n \n \n \n Compressive sensing in medical ultrasound .\n \n \n \n\n\n \n Liebgott, H.; Basarab, A.; Kouamé, D.; Bernard, O.; and Friboulet, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Dresden, Germany, 07/10/12-10/10/12, pages 1938–1943, http://www.ieee.org/, octobre 2012. IEEE\n (Special session)\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{ LiBaKoBeFr2012.1,\r\nauthor = {Liebgott, Hervé and Basarab, Adrian and Kouamé, Denis and Bernard, Olivier and Friboulet, Denis},\r\ntitle = "{Compressive sensing in medical ultrasound }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Dresden, Germany, 07/10/12-10/10/12}",\r\nyear = {2012},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1938--1943},\r\nlanguage = {anglais},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n MR-ultrasound imaging registration using 2D spatial phase images .\n \n \n \n\n\n \n Basarab, A.; Abbal, R.; Ureche, M.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Dresden, Germany, 07/01/12-10/10/12, pages 1702–1705, http://www.ieee.org/, octobre 2012. IEEE\n \n\n\n\n
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@InProceedings{ BaAbUrKo2012.1,\r\nauthor = {Basarab, Adrian and Abbal, Rémi and Ureche, Marius-Cristian and Kouamé, Denis},\r\ntitle = "{MR-ultrasound imaging registration using 2D spatial phase images }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Dresden, Germany, 07/01/12-10/10/12}",\r\nyear = {2012},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1702--1705},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Monogenic orientation-based blood flow estimation in high-frequency ultrasound imaging .\n \n \n \n\n\n \n Basarab, A.; Vray, D.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonics Symposium, Dresden, Germany, 07/10/12-10/10/12, pages 342–345, http://www.ieee.org/, octobre 2012. IEEE\n \n\n\n\n
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@InProceedings{ BaVrKo2012.1,\r\nauthor = {Basarab, Adrian and Vray, Didier and Kouamé, Denis},\r\ntitle = "{Monogenic orientation-based blood flow estimation in high-frequency ultrasound imaging }",\r\nbooktitle = "{IEEE International Ultrasonics Symposium, Dresden, Germany, 07/10/12-10/10/12}",\r\nyear = {2012},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {342--345},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Monogenic signal for cardiac motion analysis from tagged magnetic resonance image sequences .\n \n \n \n\n\n \n Alessandrini, M.; Liebgott, H.; Basarab, A.; Clarysse, P.; and Bernard, O.\n\n\n \n\n\n\n In Computing in Cardiology, Cracovie, Pologne, 09/09/12-12/09/12, pages 685–688, http://www.ieee.org/, septembre 2012. IEEE\n \n\n\n\n
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@InProceedings{ AlLiBaClBe2012.1,\r\nauthor = {Alessandrini, Martino and Liebgott, Hervé and Basarab, Adrian and Clarysse, Patrick and Bernard, Olivier},\r\ntitle = "{Monogenic signal for cardiac motion analysis from tagged magnetic resonance image sequences }",\r\nbooktitle = "{Computing in Cardiology, Cracovie, Pologne, 09/09/12-12/09/12}",\r\nyear = {2012},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {685--688},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Regularized Bayesian compressed sensing in ultrasound imaging .\n \n \n \n\n\n \n Dobigeon, N.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In European Signal and Image Processing Conference (EUSIPCO 2012), Bucharest, Romania, 27/08/12-31/08/12, pages 2600–2604, http://www.eurasip.org/, août 2012. EURASIP\n \n\n\n\n
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@InProceedings{ DoBaKoTo2012.1,\r\nauthor = {Dobigeon, Nicolas and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Regularized Bayesian compressed sensing in ultrasound imaging }",\r\nbooktitle = "{European Signal and Image Processing Conference (EUSIPCO 2012), Bucharest, Romania, 27/08/12-31/08/12}",\r\nyear = {2012},\r\nmonth = {août},\r\npublisher = {EURASIP},\r\naddress = {http://www.eurasip.org/},\r\npages = {2600--2604},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n 3D Transalation estimation using the monogenic orientation vector .\n \n \n \n\n\n \n Abbal, R.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, 02/05/12-05/05/12, pages 1591–1594, http://www.ieee.org/, mai 2012. IEEE\n \n\n\n\n
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@InProceedings{ AbBaKo2012.1,\r\nauthor = {Abbal, Rémi and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{3D Transalation estimation using the monogenic orientation vector }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, 02/05/12-05/05/12}",\r\nyear = {2012},\r\nmonth = {mai},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1591--1594},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Alternating Direction Method of Multipliers Framework for Super-Resolution in Ultrasound Imaging .\n \n \n \n\n\n \n Morin, R.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, Spain, 02/05/12-05/05/12, pages 1595–1598, http://www.ieee.org/, mai 2012. IEEE\n \n\n\n\n
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@InProceedings{ MoBaKo2012.1,\r\nauthor = {Morin, Renaud and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Alternating Direction Method of Multipliers Framework for Super-Resolution in Ultrasound Imaging }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Barcelona, Spain, 02/05/12-05/05/12}",\r\nyear = {2012},\r\nmonth = {mai},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1595--1598},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Post-Processing Multiple-Frame Super-Resolution in Ultrasound Imaging .\n \n \n \n \n\n\n \n Morin, R.; Basarab, A.; Ploquin, M.; and Kouamé, D.\n\n\n \n\n\n\n In SPIE Medical Imaging, Town and Country Resort and Convention Center (San Diego), California, USA, 04/02/12-09/02/12, volume 8320, pages (on line), http://spie.org, février 2012. SPIE - Medical Imaging\n \n\n\n\n
\n\n\n\n \n \n \"Post-ProcessingPaper\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{ MoBaPlKo2012.1,\r\nauthor = {Morin, Renaud and Basarab, Adrian and Ploquin, Marie and Kouamé, Denis},\r\ntitle = "{Post-Processing Multiple-Frame Super-Resolution in Ultrasound Imaging }",\r\nbooktitle = "{SPIE Medical Imaging, Town and Country Resort and Convention Center (San Diego), California, USA, 04/02/12-09/02/12}",\r\nyear = {2012},\r\nmonth = {février},\r\npublisher = {SPIE - Medical Imaging},\r\naddress = {http://spie.org},\r\nvolume = {8320},\r\npages = {(on line)},\r\nlanguage = {anglais},\r\nURL = {http://dx.doi.org/10.1117/12.910711}\r\n}\r\n
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\n \n\n \n \n \n \n \n Exploitation de la phase spatiale des images pour l'estimation du mouvement en imagerie médicale (XIème Colloque Franco-Roumain de Mathématiques Appliquées, Bucarest, Roumanie, 24/08/2012-30/08/2012).\n \n \n \n\n\n \n Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n 2012.\n (Special session)\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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@Unpublished{ BaKo2012.1,\r\nauthor = {Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Exploitation de la phase spatiale des images pour l'estimation du mouvement en imagerie médicale (XIème Colloque Franco-Roumain de Mathématiques Appliquées, Bucarest, Roumanie, 24/08/2012-30/08/2012)}",\r\nyear = {2012},\r\nlanguage = {français},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n Super résolution en imagerie ultrasonore (XIème Colloque Franco-Roumain de Mathématiques Appliquées, Bucarest, Roumanie, 24/08/2012-30/08/2012).\n \n \n \n\n\n \n Morin, R.; Basarab, A.; Bidon, S.; and Kouamé, D.\n\n\n \n\n\n\n 2012.\n (Special session)\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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@Unpublished{ MoBaBiKo2012.1,\r\nauthor = {Morin, Renaud and Basarab, Adrian and Bidon, Stéphanie and Kouamé, Denis},\r\ntitle = "{Super résolution en imagerie ultrasonore (XIème Colloque Franco-Roumain de Mathématiques Appliquées, Bucarest, Roumanie, 24/08/2012-30/08/2012)}",\r\nyear = {2012},\r\nlanguage = {français},\r\nnote = { (Special session)}\r\n}\r\n
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\n  \n 2011\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Estimation de mouvement par décalage de phase et mai / mayllage déformable appliquée à des séquences cardiaques d’IRM marquées.\n \n \n \n\n\n \n Basarab, A.; Clarysse, P.; Arts, T.; Cachard, C.; Croisille, P.; and Delachartre, P.\n\n\n \n\n\n\n Traitement du Signal, 28(6): 643–663. 2011.\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 
@Article{ BaClArCaCrDe2011.1,\r\nauthor = {Basarab, Adrian and Clarysse, Patrick and Arts, Theo and Cachard, Christian and Croisille, Pierre and Delachartre, Philippe},\r\ntitle = "{Estimation de mouvement par décalage de phase et mai / mayllage déformable appliquée à des séquences cardiaques d’IRM marquées}",\r\njournal = {Traitement du Signal},\r\npublisher = {GRETSI CNRS},\r\naddress = {http://www.traitementdusignal.fr/},\r\nyear = {2011},\r\nvolume = {28},\r\nnumber = {6},\r\npages = {643--663},\r\nlanguage = {français}\r\n}\r\n
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\n \n\n \n \n \n \n \n Bayesian compressed sensing in ultrasound imaging .\n \n \n \n\n\n \n Quinsac, C.; Dobigeon, N.; Basarab, A.; Kouamé, D.; and Tourneret, J.\n\n\n \n\n\n\n In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2011), Puerto Rico, 13/12/11-16/12/11, pages 101–104, http://www.ieee.org/, décembre 2011. IEEE\n (Special session)\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{ QuDoBaKoTo2011.1,\r\nauthor = {Quinsac, Céline and Dobigeon, Nicolas and Basarab, Adrian and Kouamé, Denis and Tourneret, Jean-Yves},\r\ntitle = "{Bayesian compressed sensing in ultrasound imaging }",\r\nbooktitle = "{IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2011), Puerto Rico, 13/12/11-16/12/11}",\r\nyear = {2011},\r\nmonth = {décembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {101--104},\r\nlanguage = {anglais},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n Affine phase based motion estimation applied to echocardiography .\n \n \n \n\n\n \n Douziech, F.; Liebgott, H.; Bernard, O.; and Basarab, A.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, Orlando, 18/10/11-21/10/11, pages 736–739, http://www.ieee.org/, octobre 2011. IEEE\n \n\n\n\n
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@InProceedings{ DoLiBeBa2011.1,\r\nauthor = {Douziech, Florian and Liebgott, Hervé and Bernard, Olivier and Basarab, Adrian},\r\ntitle = "{Affine phase based motion estimation applied to echocardiography }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, Orlando, 18/10/11-21/10/11}",\r\nyear = {2011},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {736--739},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Compressed sensing of ultrasound single-orthant analytical signals .\n \n \n \n\n\n \n Quinsac, C.; De Vieilleville, F.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, Orlando, 18/10/11-21/10/11, pages 1419–1422, http://www.ieee.org/, octobre 2011. IEEE\n \n\n\n\n
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@InProceedings{ QuDeBaKo2011.1,\r\nauthor = {Quinsac, Céline and De Vieilleville, François and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Compressed sensing of ultrasound single-orthant analytical signals }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, Orlando, 18/10/11-21/10/11}",\r\nyear = {2011},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1419--1422},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Motion estimation in ultrasound imaging applied to the diagnostic of pelvic floor disorders .\n \n \n \n\n\n \n Basarab, A.; Vidal, F.; Abbal, R.; Delachartre, P.; Vayssiere, C.; Léguevaque, P.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2011), Boston, 30/08/11-03/09/11, pages 8058–8061, http://www.ieee.org/, août 2011. IEEE\n \n\n\n\n
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@InProceedings{ BaViAbDeVaLKo2011.1,\r\nauthor = {Basarab, Adrian and Vidal, Fabien and Abbal, Rémi and Delachartre, Philippe and Vayssiere, Christophe and Léguevaque, Pierre and Kouamé, Denis},\r\ntitle = "{Motion estimation in ultrasound imaging applied to the diagnostic of pelvic floor disorders }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2011), Boston, 30/08/11-03/09/11}",\r\nyear = {2011},\r\nmonth = {août},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {8058--8061},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Echantillonnage compressé Bayésien en imagerie ultrasonore .\n \n \n \n\n\n \n Quinsac, C.; Dobigeon, N.; Basarab, A.; Tourneret, J.; and Kouamé, D.\n\n\n \n\n\n\n In Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2011), Bordeaux, France, 05/09/2011-08/09/2011, pages (support électronique), http://www.traitementdusignal.fr/, 2011. GRETSI CNRS\n \n\n\n\n
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@InProceedings{ QuDoBaToKo2011.1,\r\nauthor = {Quinsac, Céline and Dobigeon, Nicolas and Basarab, Adrian and Tourneret, Jean-Yves and Kouamé, Denis},\r\ntitle = "{Echantillonnage compressé Bayésien en imagerie ultrasonore }",\r\nbooktitle = "{Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2011), Bordeaux, France, 05/09/2011-08/09/2011}",\r\nyear = {2011},\r\npublisher = {GRETSI CNRS},\r\naddress = {http://www.traitementdusignal.fr/},\r\npages = {(support électronique)},\r\nlanguage = {francais}\r\n}\r\n
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\n \n\n \n \n \n \n \n \n Estimation de décalages subpixéliques en imagerie ultrasonore .\n \n \n \n \n\n\n \n Abbal, R.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In Symposium sur l'Ingénierie de l'Information Médicale, Toulouse, 09/06/2011-10/06/2011, pages (en ligne), https://www.irit.fr, 2011. IRIT Press\n \n\n\n\n
\n\n\n\n \n \n \"EstimationPaper\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{ AbBaKo2011.1,\r\nauthor = {Abbal, Rémi and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Estimation de décalages subpixéliques en imagerie ultrasonore }",\r\nbooktitle = "{Symposium sur l'Ingénierie de l'Information Médicale, Toulouse, 09/06/2011-10/06/2011}",\r\nyear = {2011},\r\npublisher = {IRIT Press},\r\naddress = {https://www.irit.fr},\r\npages = {(en ligne)},\r\nlanguage = {francais},\r\nURL = {https://www.irit.fr/SIIM/SIIM2011-10.pdf}\r\n}\r\n
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\n  \n 2010\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Blood flow evaluation in high-frequency, 40 MHz imaging: a comparative study of four vector velocity estimation methods.\n \n \n \n\n\n \n Marion, A.; Aoudi, W.; Basarab, A.; Delachartre, P.; and Vray, D.\n\n\n \n\n\n\n Ultrasonics, 50(7): 683–690. juin 2010.\n \n\n\n\n
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@Article{ MaAoBaDeVr2010.1,\r\nauthor = {Marion, Adrien and Aoudi, Walid and Basarab, Adrian and Delachartre, Philippe and Vray, Didier},\r\ntitle = "{Blood flow evaluation in high-frequency, 40 MHz imaging: a comparative study of four vector velocity estimation methods}",\r\njournal = {Ultrasonics},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2010},\r\nmonth = {juin},\r\nvolume = {50},\r\nnumber = {7},\r\npages = {683--690},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Transverse oscillations for tissue motion estimation.\n \n \n \n\n\n \n Liebgott, H.; Basarab, A.; Gueth, P.; Friboulet, D.; and Delachartre, P.\n\n\n \n\n\n\n Ultrasonics, 50(6): 548–555. juin 2010.\n \n\n\n\n
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@Article{ LiBaGuFrDe2010.1,\r\nauthor = {Liebgott, Hervé and Basarab, Adrian and Gueth, Pierre and Friboulet, Denis and Delachartre, Philippe},\r\ntitle = "{Transverse oscillations for tissue motion estimation}",\r\njournal = {Ultrasonics},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2010},\r\nmonth = {juin},\r\nvolume = {50},\r\nnumber = {6},\r\npages = {548--555},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Analysis of motion tracking in echocardiographic image sequences: influence of system geometry and point-spread function.\n \n \n \n\n\n \n Touil, B.; Basarab, A.; Delachartre, P.; Bernard, O.; and Friboulet, D.\n\n\n \n\n\n\n Ultrasonics, 50(3): 373–386. mars 2010.\n \n\n\n\n
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@Article{ ToBaDeBeFr2010.1,\r\nauthor = {Touil, Basma and Basarab, Adrian and Delachartre, Philippe and Bernard, Olivier and Friboulet, Denis},\r\ntitle = "{Analysis of motion tracking in echocardiographic image sequences: influence of system geometry and point-spread function}",\r\njournal = {Ultrasonics},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2010},\r\nmonth = {mars},\r\nvolume = {50},\r\nnumber = {3},\r\npages = {373--386},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Discrete wavelet for multifractal texture classification: application to medical ultrasound imaging .\n \n \n \n\n\n \n Djeddi, M.; Ouahabi, A.; Batatia, H.; Basarab, A.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26/09/10-29/09/10, pages 637–640, http://www.ieee.org/, septembre 2010. IEEE\n \n\n\n\n
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@InProceedings{ DjOuBaBaKo2010.1,\r\nauthor = {Djeddi, Meriem and Ouahabi, Abdeldjalil and Batatia, Hadj and Basarab, Adrian and Kouamé, Denis},\r\ntitle = "{Discrete wavelet for multifractal texture classification: application to medical ultrasound imaging }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26/09/10-29/09/10}",\r\nyear = {2010},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {637--640},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n A 2D least square differentiation filter for tensorial elastography .\n \n \n \n\n\n \n Olivier, J.; Basarab, A.; Lyshchik, A.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, San Diego, 11/01/10-14/10/10, pages 1624–1627, http://www.ieee.org/, octobre 2010. IEEE\n \n\n\n\n
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@InProceedings{ OlBaLyDe2010.1,\r\nauthor = {Olivier, Jessica and Basarab, Adrian and Lyshchik, Andrej and Delachartre, Philippe},\r\ntitle = "{A 2D least square differentiation filter for tensorial elastography }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, San Diego, 11/01/10-14/10/10}",\r\nyear = {2010},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1624--1627},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n 3D compressed sensing ultrasound imaging .\n \n \n \n\n\n \n Quinsac, C.; Basarab, A.; Grégoire, J.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, San Diego, 11/10/10-14/10/10, pages 363–366, http://www.ieee.org/, octobre 2010. IEEE\n \n\n\n\n
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@InProceedings{ QuBaGrKo2010.1,\r\nauthor = {Quinsac, Céline and Basarab, Adrian and Grégoire, Jean-Marc and Kouamé, Denis},\r\ntitle = "{3D compressed sensing ultrasound imaging }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, San Diego, 11/10/10-14/10/10}",\r\nyear = {2010},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {363--366},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Lightsheet fluorescence microscopy images deblurring with background estimation .\n \n \n \n\n\n \n De Vieilleville, F.; Basarab, A.; Kouamé, D.; and Lobjois, V.\n\n\n \n\n\n\n In IEEE Workshop on Signal Processing Systems, San Francisco, 06/10/10-08/10/10, pages 254–259, http://www.ieee.org/, octobre 2010. IEEE\n \n\n\n\n
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@InProceedings{ DeBaKoLo2010.1,\r\nauthor = {De Vieilleville, François and Basarab, Adrian and Kouamé, Denis and Lobjois, Valérie},\r\ntitle = "{Lightsheet fluorescence microscopy images deblurring with background estimation }",\r\nbooktitle = "{IEEE Workshop on Signal Processing Systems, San Francisco, 06/10/10-08/10/10}",\r\nyear = {2010},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {254--259},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Compressed sensing of ultrasound images: sampling of spatial and frequency domains .\n \n \n \n\n\n \n Quinsac, C.; Basarab, A.; Girault, J.; and Kouamé, D.\n\n\n \n\n\n\n In IEEE Workshop on Signal Processing Systems, San Francisco, 06/10/10-08/10/10, pages 231–236, http://www.ieee.org/, octobre 2010. IEEE\n \n\n\n\n
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@InProceedings{ QuBaGiKo2010.1,\r\nauthor = {Quinsac, Céline and Basarab, Adrian and Girault, Jean-Marc and Kouamé, Denis},\r\ntitle = "{Compressed sensing of ultrasound images: sampling of spatial and frequency domains }",\r\nbooktitle = "{IEEE Workshop on Signal Processing Systems, San Francisco, 06/10/10-08/10/10}",\r\nyear = {2010},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {231--236},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Motion estimation using the monogenic sinal applied to ultrasound elastography .\n \n \n \n\n\n \n Maltaverne, T.; Delachartre, P.; and Basarab, A.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2010), Buenos aires, 01/09/10-04/09/10, pages 33–36, http://www.ieee.org/, septembre 2010. IEEE\n \n\n\n\n
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@InProceedings{ MaDeBa2010.1,\r\nauthor = {Maltaverne, Tanguy and Delachartre, Philippe and Basarab, Adrian},\r\ntitle = "{Motion estimation using the monogenic sinal applied to ultrasound elastography }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2010), Buenos aires, 01/09/10-04/09/10}",\r\nyear = {2010},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {33--36},\r\nlanguage = {anglais}\r\n}\r\n
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\n  \n 2009\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Investigation of PVA cryogel Young's modulus stability with time, controlled by a simple reliable technique.\n \n \n \n\n\n \n Duboeuf, F.; Basarab, A.; Liebgott, H.; Brusseau, E.; Delachartre, P.; and Vray, D.\n\n\n \n\n\n\n Medical Physics, 36(2): 656–661. février 2009.\n \n\n\n\n
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@Article{ DuBaLiBrDeVr2009.1,\r\nauthor = {Duboeuf, François and Basarab, Adrian and Liebgott, Hervé and Brusseau, Elisabeth and Delachartre, Philippe and Vray, Didier},\r\ntitle = "{Investigation of PVA cryogel Young's modulus stability with time, controlled by a simple reliable technique}",\r\njournal = {Medical Physics},\r\npublisher = {American Association of Physicists in Medecine (AAPM)},\r\naddress = {http://www.aapm.org},\r\nyear = {2009},\r\nmonth = {février},\r\nvolume = {36},\r\nnumber = {2},\r\npages = {656--661},\r\nlanguage = {anglais},\r\n}\r\n
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\n \n\n \n \n \n \n \n Ultrasound image sequence registration and its application for thyroid nodular disease.\n \n \n \n\n\n \n Basarab, A.; Lyshchik, A.; Grava, C.; Buzuloiu, V.; and Delachartre, P.\n\n\n \n\n\n\n Journal of Signal Processing Systems, 55(1-3): 127–137. avril 2009.\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 abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{ BaLyGrBuDe2009.1,\r\nauthor = {Basarab, Adrian and Lyshchik, Andrej and Grava, Cristian and Buzuloiu, Vasile and Delachartre, Philippe},\r\ntitle = "{Ultrasound image sequence registration and its application for thyroid nodular disease}",\r\njournal = {Journal of Signal Processing Systems},\r\npublisher = {Springer},\r\naddress = {http://www.springerlink.com},\r\nyear = {2009},\r\nmonth = {avril},\r\nvolume = {55},\r\nnumber = {1-3},\r\npages = {127--137},\r\nlanguage = {anglais},\r\nabstract = {Ultrasound elastography is a promising technique that can assist in diagnosis of thyroid cancer. However, the tissue movements generated by the freehand compression are complex and difficult to estimate. Therefore, the aim of this study was to propose a motion estimation technique adapted to our application. First, a parametric deformable block matching is introduced and shown to provide better results than classical block matching. Afterwards, the extension of this method to motion estimation with image sequences is presented. Moreover, motion analysis using a technique of compression orientation detection led us to introduce a new parameter based on the angle of estimated motion vectors. The accuracy of our methods was tested on simulated and in-vivo ultrasound images. The in-vivo data sets correspond to thyroid gland images acquired using freehand tissue compression by ultrasound probe of a clinical ultrasound scanner modified for research. Thus, we show how our method improves the contrast between the healthy part of the thyroid and the malignant tumor by a factor of 3 compared to ultrasound images and by a factor of 2 compared to classical strain images.}\r\n}\r\n
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\n Ultrasound elastography is a promising technique that can assist in diagnosis of thyroid cancer. However, the tissue movements generated by the freehand compression are complex and difficult to estimate. Therefore, the aim of this study was to propose a motion estimation technique adapted to our application. First, a parametric deformable block matching is introduced and shown to provide better results than classical block matching. Afterwards, the extension of this method to motion estimation with image sequences is presented. Moreover, motion analysis using a technique of compression orientation detection led us to introduce a new parameter based on the angle of estimated motion vectors. The accuracy of our methods was tested on simulated and in-vivo ultrasound images. The in-vivo data sets correspond to thyroid gland images acquired using freehand tissue compression by ultrasound probe of a clinical ultrasound scanner modified for research. Thus, we show how our method improves the contrast between the healthy part of the thyroid and the malignant tumor by a factor of 3 compared to ultrasound images and by a factor of 2 compared to classical strain images.\n
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\n \n\n \n \n \n \n \n Analytic estimation of subsample spatial shift using the phases of multidimensional analytic signals.\n \n \n \n\n\n \n Basarab, A.; Liebgott, H.; and Delachartre, P.\n\n\n \n\n\n\n IEEE Transactions on Image Processing, 18(2): 440–447. janvier 2009.\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 abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{ BaLiDe2009.1,\r\nauthor = {Basarab, Adrian and Liebgott, Hervé and Delachartre, Philippe},\r\ntitle = "{Analytic estimation of subsample spatial shift using the phases of multidimensional analytic signals}",\r\njournal = {IEEE Transactions on Image Processing},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2009},\r\nmonth = {janvier},\r\nvolume = {18},\r\nnumber = {2},\r\npages = {440--447},\r\nlanguage = {anglais},\r\nabstract = {In this correspondence, a method of analytic subsample spatial shift estimation based on an a priori n-D signal model is proposed. The estimation uses the linear phases of n analytic signals defined with the multidimensional Hilbert transform. This estimation proposes: i) an analytic solution to the n -D shift estimation and ii) an estimation without processing complex cross-correlation function or cross-spectra between signals contrary to most phase shift estimators. The method provides better performance in estimating subsample shifts than two classical estimators, one using the maximum of cross-correlation function and the other seeking the zero of the complex correlation function phase. Two delay estimators using the in-phase and quadrature-phase components of signals are also compared to our estimator. Like most estimators using the complex signal phases, the estimator proposed herein presents the advantage of unaltered accuracy when low sampled signals are used. Moreover, we show that this method can be applied to motion tracking with ultrasound images. Thus, included in a block-based motion estimation method and tested with ultrasound data, this estimator provides an analytical solution to the translation estimation problem.}\r\n}\r\n
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\n In this correspondence, a method of analytic subsample spatial shift estimation based on an a priori n-D signal model is proposed. The estimation uses the linear phases of n analytic signals defined with the multidimensional Hilbert transform. This estimation proposes: i) an analytic solution to the n -D shift estimation and ii) an estimation without processing complex cross-correlation function or cross-spectra between signals contrary to most phase shift estimators. The method provides better performance in estimating subsample shifts than two classical estimators, one using the maximum of cross-correlation function and the other seeking the zero of the complex correlation function phase. Two delay estimators using the in-phase and quadrature-phase components of signals are also compared to our estimator. Like most estimators using the complex signal phases, the estimator proposed herein presents the advantage of unaltered accuracy when low sampled signals are used. Moreover, we show that this method can be applied to motion tracking with ultrasound images. Thus, included in a block-based motion estimation method and tested with ultrasound data, this estimator provides an analytical solution to the translation estimation problem.\n
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\n \n\n \n \n \n \n \n Phase-based block matching applied to motion estimation with unconventional beamforming strategies.\n \n \n \n\n\n \n Basarab, A.; Gueth, P.; Liebgott, H.; and Delachartre, P.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 56(5): 945–957. mai 2009.\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 abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{ BaGuLiDe2009.1,\r\nauthor = {Basarab, Adrian and Gueth, Pierre and Liebgott, Hervé and Delachartre, Philippe},\r\ntitle = "{Phase-based block matching applied to motion estimation with unconventional beamforming strategies}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2009},\r\nmonth = {mai},\r\nvolume = {56},\r\nnumber = {5},\r\npages = {945--957},\r\nlanguage = {anglais},\r\nabstract = {A phase-based block matching method adapted to motion estimation with unconventional beamforming strategies is presented. The unconventional beamforming technique used allows us to obtain 2-D RF images with axial and lateral modulations. Based on these images, we propose a method that uses phase images instead of amplitude images. This way of proceeding allows us to provide an analytical solution to the local displacement estimation so that no minimization of a classical cost function is used for the local estimation. For this reason, the local estimator is directly applied to signals, without the need to process a complex cross-correlation function, as is done with most of the phase shift estimators. In this paper, the method is applied to elastography. Results with simulated data show that a downsampling of axial and lateral modulated signals leads to very little change in the accuracy and in the spatial resolution of the proposed method. For example, for decimation factors of 2 in the axial direction and of 4 in the lateral direction, the mean axial absolute error is 3 mum. The same estimation with original images provides a mean axial error of 0.7 mum. The accuracy of the lateral motion is unchanged in this case. The accuracy of our method with downsampled signals is an important issue in the purpose of a real-time implementation. With experimental data, for the same level of estimation error, classical block matching using the maximum of cross correlation as a local estimator requires images that are 36 times larger (in number of pixels) and consequently a computational time roughly 10 times longer. Our phase block matching is also shown to provide 10 percent less error than a motion estimation method based on seeking the zero of the complex correlation function phase. Finally, it is shown that given the separability of the local estimator that we propose, our method can be applied on both n-D signals and classical RF ultrasound images. The phase block matching- method presented was implemented in real time on an ultrasound research scanner.}\r\n}\r\n
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\n A phase-based block matching method adapted to motion estimation with unconventional beamforming strategies is presented. The unconventional beamforming technique used allows us to obtain 2-D RF images with axial and lateral modulations. Based on these images, we propose a method that uses phase images instead of amplitude images. This way of proceeding allows us to provide an analytical solution to the local displacement estimation so that no minimization of a classical cost function is used for the local estimation. For this reason, the local estimator is directly applied to signals, without the need to process a complex cross-correlation function, as is done with most of the phase shift estimators. In this paper, the method is applied to elastography. Results with simulated data show that a downsampling of axial and lateral modulated signals leads to very little change in the accuracy and in the spatial resolution of the proposed method. For example, for decimation factors of 2 in the axial direction and of 4 in the lateral direction, the mean axial absolute error is 3 mum. The same estimation with original images provides a mean axial error of 0.7 mum. The accuracy of the lateral motion is unchanged in this case. The accuracy of our method with downsampled signals is an important issue in the purpose of a real-time implementation. With experimental data, for the same level of estimation error, classical block matching using the maximum of cross correlation as a local estimator requires images that are 36 times larger (in number of pixels) and consequently a computational time roughly 10 times longer. Our phase block matching is also shown to provide 10 percent less error than a motion estimation method based on seeking the zero of the complex correlation function phase. Finally, it is shown that given the separability of the local estimator that we propose, our method can be applied on both n-D signals and classical RF ultrasound images. The phase block matching- method presented was implemented in real time on an ultrasound research scanner.\n
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\n \n\n \n \n \n \n \n A comparative study of four vector velocity estimation methods applied to flow imaging .\n \n \n \n\n\n \n Marion, A.; Aoudi, W.; Basarab, A.; Delachartre, P.; and Vray, D.\n\n\n \n\n\n\n In International Congress on Ultrasonics (ICU 2009), Santiago (Chile), 11/01/09-17/01/09, volume 3, pages 225–233, janvier 2009. \n (Special session)\n\n\n\n
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\n 
@InProceedings{ MaAoBaDeVr2009.1,\r\nauthor = {Marion, Adrien and Aoudi, Walid and Basarab, Adrian and Delachartre, Philippe and Vray, Didier},\r\ntitle = "{A comparative study of four vector velocity estimation methods applied to flow imaging }",\r\nbooktitle = "{International Congress on Ultrasonics (ICU 2009), Santiago (Chile), 11/01/09-17/01/09}",\r\nyear = {2009},\r\nmonth = {janvier},\r\npublisher = {},\r\nvolume = {3},\r\nnumber = {1},\r\npages = {225--233},\r\nlanguage = {anglais},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n Transverse oscillations for tissue motion estimation .\n \n \n \n\n\n \n Liebgott, H.; Basarab, A.; Gueth, P.; Friboulet, D.; and Delachartre, P.\n\n\n \n\n\n\n In International Congress on Ultrasonics (ICU 2009), Santiago (Chile), 11/01/09-17/01/09, volume 3, pages 235–244, janvier 2009. \n (Special session)\n\n\n\n
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\n 
@InProceedings{ LiBaGuFrDe2009.1,\r\nauthor = {Liebgott, Hervé and Basarab, Adrian and Gueth, Pierre and Friboulet, Denis and Delachartre, Philippe},\r\ntitle = "{Transverse oscillations for tissue motion estimation }",\r\nbooktitle = "{International Congress on Ultrasonics (ICU 2009), Santiago (Chile), 11/01/09-17/01/09}",\r\nyear = {2009},\r\nmonth = {janvier},\r\npublisher = {},\r\nvolume = {3},\r\nnumber = {1},\r\npages = {235--244},\r\nlanguage = {anglais},\r\nnote = { (Special session)}\r\n}\r\n
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\n \n\n \n \n \n \n \n Real-time specific beamforming applied to motion trajectory estimation in ultrasound imaging .\n \n \n \n\n\n \n Zahnd, G.; Basarab, A.; Liebgott, H.; Basset, O.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, Rome, 21/09/09-23/09/09, pages 1–4, http://www.ieee.org/, septembre 2009. IEEE\n \n\n\n\n
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@InProceedings{ ZaBaLiBaDe2009.1,\r\nauthor = {Zahnd, Guillaume and Basarab, Adrian and Liebgott, Hervé and Basset, Olivier and Delachartre, Philippe},\r\ntitle = "{Real-time specific beamforming applied to motion trajectory estimation in ultrasound imaging }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, Rome, 21/09/09-23/09/09}",\r\nyear = {2009},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1--4},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Influence of system geometry on motion tracking in echocardiographic image sequences .\n \n \n \n\n\n \n Touil, B.; Basarab, A.; Bernard, O.; and Friboulet, D.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Massachussetts, 28/06/09-01/07/09, pages 1150–1153, http://www.ieee.org/, juillet 2009. IEEE\n \n\n\n\n
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@InProceedings{ ToBaBeFr2009.1,\r\nauthor = {Touil, Basma and Basarab, Adrian and Bernard, Olivier and Friboulet, Denis},\r\ntitle = "{Influence of system geometry on motion tracking in echocardiographic image sequences }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Massachussetts, 28/06/09-01/07/09}",\r\nyear = {2009},\r\nmonth = {juillet},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1150--1153},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Tangential sound field oscillations for 2D motion estimation in echocardiography .\n \n \n \n\n\n \n Liebgott, H.; Ben Salem, A.; Basarab, A.; Gao, H.; Claus, P.; D'Hooge, J.; Delachartre, P.; and Friboulet, D.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, Rome, 23/09/09-25/09/09, pages 498–501, http://www.ieee.org/, septembre 2009. IEEE\n \n\n\n\n
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@InProceedings{ LiBeBaGaClDDeFr2009.1,\r\nauthor = {Liebgott, Hervé and Ben Salem, Abderraouf and Basarab, Adrian and Gao, Hang and Claus, Piet and D'Hooge, Jan and Delachartre, Philippe and Friboulet, Denis},\r\ntitle = "{Tangential sound field oscillations for 2D motion estimation in echocardiography }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, Rome, 23/09/09-25/09/09}",\r\nyear = {2009},\r\nmonth = {septembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {498--501},\r\nlanguage = {anglais}\r\n}\r\n
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\n  \n 2008\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n A method for vector displacement estimation with ultrasound images and its application for thyroid nodular disease.\n \n \n \n\n\n \n Basarab, A.; Liebgott, H.; Morestin, F.; Lyshchik, A.; Higashi, T.; Asato, R.; and Delacharte, P.\n\n\n \n\n\n\n Medical Image Analysis, 12(3): 259–274. 2008.\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 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{ BaLiMoLyHiAsDe2008.1,\r\nauthor = {Basarab, Adrian and Liebgott, Hervé and Morestin, Fabrice and Lyshchik, Andrej and Higashi, Tatsuya and Asato, Ryo and Delacharte, Philippe},\r\ntitle = "{A method for vector displacement estimation with ultrasound images and its application for thyroid nodular disease}",\r\njournal = {Medical Image Analysis},\r\npublisher = {Elsevier},\r\naddress = {http://www.elsevier.com/},\r\nyear = {2008},\r\nvolume = {12},\r\nnumber = {3},\r\npages = {259--274},\r\nlanguage = {anglais},\r\nabstract = {Ultrasound elastography is a promising imaging technique that can assist in diagnosis of thyroid cancer. However, the complexity of the tissue movements under freehand compression requires the use of a parametric displacement model and a specific estimation method adapted to sub-pixel motion. Therefore, the aim of this study was to develop a motion estimation method for ultrasound elastography and test its performances compared to a classical block matching technique. The proposed method, referred to as Bilinear Deformable Block Matching (BDBM), uses a bilinear model with eight parameters for controlling the local mesh deformation. In addition, a technique of motion initialization based on a triangle scan of the images adapted to ultrasound elastography is proposed. The BDBM method includes an iterative multi-scale process. This iterative approach is shown to decrease the absolute error of the displacement estimation by a factor of 1.4 when passing from 1 to 2 iterations. The method was tested on simulated images and the results show that absolute displacement estimation error was reduced by a factor of 4 compared to classical block matching. We applied the BDBM method on three experimental sets of data. In the first data set, a phantom designed for ultrasound elastography was used. The two other sets of data involve the thyroid gland and were acquired using freehand tissue compression by ultrasound probe of a clinical ultrasound scanner modified for research. A similarity measurement based on local cross-correlation shows that, for experimental data, the BDBM method outperforms the usual block matching.}\r\n}\r\n
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\n Ultrasound elastography is a promising imaging technique that can assist in diagnosis of thyroid cancer. However, the complexity of the tissue movements under freehand compression requires the use of a parametric displacement model and a specific estimation method adapted to sub-pixel motion. Therefore, the aim of this study was to develop a motion estimation method for ultrasound elastography and test its performances compared to a classical block matching technique. The proposed method, referred to as Bilinear Deformable Block Matching (BDBM), uses a bilinear model with eight parameters for controlling the local mesh deformation. In addition, a technique of motion initialization based on a triangle scan of the images adapted to ultrasound elastography is proposed. The BDBM method includes an iterative multi-scale process. This iterative approach is shown to decrease the absolute error of the displacement estimation by a factor of 1.4 when passing from 1 to 2 iterations. The method was tested on simulated images and the results show that absolute displacement estimation error was reduced by a factor of 4 compared to classical block matching. We applied the BDBM method on three experimental sets of data. In the first data set, a phantom designed for ultrasound elastography was used. The two other sets of data involve the thyroid gland and were acquired using freehand tissue compression by ultrasound probe of a clinical ultrasound scanner modified for research. A similarity measurement based on local cross-correlation shows that, for experimental data, the BDBM method outperforms the usual block matching.\n
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\n \n\n \n \n \n \n \n Lateral RF image synthesis using a synthetic aperture imaging technique.\n \n \n \n\n\n \n Liebgott, H.; Basarab, A.; Gueth, P.; Cachard, C.; and Delachartre, P.\n\n\n \n\n\n\n IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 55(9): 2097–2103. septembre 2008.\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 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{ LiBaGuCaDe2008.1,\r\nauthor = {Liebgott, Hervé and Basarab, Adrian and Gueth, Pierre and Cachard, Christian and Delachartre, Philippe},\r\ntitle = "{Lateral RF image synthesis using a synthetic aperture imaging technique}",\r\njournal = {IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\nyear = {2008},\r\nmonth = {septembre},\r\nvolume = {55},\r\nnumber = {9},\r\npages = {2097--2103},\r\nlanguage = {anglais},\r\nabstract = {The oscillating profile naturally present in ultrasound images has been shown to be extremely valuable in different applications, particularly in motion estimation. Recent studies have shown that it is possible to produce images with transverse oscillations (TOs) based on a specific type of beamforming. However, there is still a great difference between the nature of the lateral oscillations produced with current methods and the axial profile of ultrasound images. In this study, we propose to combine synthetic aperture imaging (synthetic transmit aperture, STA) using a specific beamformer in both transmit mode and receive mode combined with a heterodyning demodulation method to produce lateral radiofrequency signals (LRFs). The aim was to produce lateral signals as close as possible to conventional axial signals, which would make it possible to estimate lateral displacements with the same accuracy as in the axial direction. The feasibility of this approach was validated in simulation and experimentally on an ultrasound research platform, the Ultrasonix RP system. We show that the combination of STA and the heterodyning demodulation can divide the wavelength of the LRF signals by 4 and divide the width of the lateral envelope of the point spread function (PSF) by 2 compared with the previous approaches using beamforming in receive mode only. Finally, we also illustrate the potential of our beamforming for motion estimation compared with previous TO methods.}\r\n}\r\n
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\n The oscillating profile naturally present in ultrasound images has been shown to be extremely valuable in different applications, particularly in motion estimation. Recent studies have shown that it is possible to produce images with transverse oscillations (TOs) based on a specific type of beamforming. However, there is still a great difference between the nature of the lateral oscillations produced with current methods and the axial profile of ultrasound images. In this study, we propose to combine synthetic aperture imaging (synthetic transmit aperture, STA) using a specific beamformer in both transmit mode and receive mode combined with a heterodyning demodulation method to produce lateral radiofrequency signals (LRFs). The aim was to produce lateral signals as close as possible to conventional axial signals, which would make it possible to estimate lateral displacements with the same accuracy as in the axial direction. The feasibility of this approach was validated in simulation and experimentally on an ultrasound research platform, the Ultrasonix RP system. We show that the combination of STA and the heterodyning demodulation can divide the wavelength of the LRF signals by 4 and divide the width of the lateral envelope of the point spread function (PSF) by 2 compared with the previous approaches using beamforming in receive mode only. Finally, we also illustrate the potential of our beamforming for motion estimation compared with previous TO methods.\n
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\n \n\n \n \n \n \n \n Tangential oscillations for motion estimation in echocardiography .\n \n \n \n\n\n \n Liebgott, H.; Basarab, A.; Marincas, S.; Bernard, O.; and Friboulet, D.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, Beijing, 02/11/08-05/11/08, pages 1761–1764, http://www.ieee.org/, novembre 2008. IEEE\n \n\n\n\n
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\n 
@InProceedings{ LiBaMaBeFr2008.1,\r\nauthor = {Liebgott, Hervé and Basarab, Adrian and Marincas, Sorin and Bernard, Olivier and Friboulet, Denis},\r\ntitle = "{Tangential oscillations for motion estimation in echocardiography }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, Beijing, 02/11/08-05/11/08}",\r\nyear = {2008},\r\nmonth = {novembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1761--1764},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Multi-frame motion estimation for freehand elastography and its application to thyroid tumor imaging .\n \n \n \n\n\n \n Basarab, A.; Lyshchik, A.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, 14/05/08-17/05/08, pages 532–535, http://www.ieee.org/, mai 2008. IEEE\n \n\n\n\n
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\n 
@InProceedings{ BaLyDe2008.1,\r\nauthor = {Basarab, Adrian and Lyshchik, Andrej and Delachartre, Philippe},\r\ntitle = "{Multi-frame motion estimation for freehand elastography and its application to thyroid tumor imaging }",\r\nbooktitle = "{IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, 14/05/08-17/05/08}",\r\nyear = {2008},\r\nmonth = {mai},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {532--535},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Estimation du mouvement dans des séquences d'images échographiques : application à l'élastographie de la thyroide.\n \n \n \n\n\n \n Basarab, A.\n\n\n \n\n\n\n Ph.D. Thesis, INSA-Lyon, septembre 2008.\n \n\n\n\n
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@PhDThesis{ Ba2008.10,\r\nauthor = {Basarab, Adrian},\r\ntitle = "{Estimation du mouvement dans des séquences d'images échographiques : application à l'élastographie de la thyroide}",\r\nyear = {2008},\r\nmonth = {septembre},\r\ntype = {Thèse de doctorat},\r\nschool = {INSA-Lyon},\r\nlanguage = {francais}\r\n}\r\n
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\n  \n 2007\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Beamforming techniques for motion estimation in ultrasound elastography .\n \n \n \n\n\n \n Gueth, P.; Basarab, A.; Liebgott, H.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, New York, 28/10/07-31/10/07, pages 1953–1956, http://www.ieee.org/, octobre 2007. IEEE\n \n\n\n\n
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@InProceedings{ GuBaLiDe2007.1,\r\nauthor = {Gueth, Pierre and Basarab, Adrian and Liebgott, Hervé and Delachartre, Philippe},\r\ntitle = "{Beamforming techniques for motion estimation in ultrasound elastography }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, New York, 28/10/07-31/10/07}",\r\nyear = {2007},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1953--1956},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Static mechanical assessment of elastic Young's modulus of tissue mimicking materials used for medical imaging .\n \n \n \n\n\n \n Duboeuf, F.; Liebgott, H.; Basarab, A.; Brusseau, E.; Delachartre, P.; and Vray, D.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2007), Lyon, 23/08/07-26/08/07, pages 3450–3453, http://www.ieee.org/, août 2007. IEEE\n \n\n\n\n
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@InProceedings{ DuLiBaBrDeVr2007.1,\r\nauthor = {Duboeuf, François and Liebgott, Hervé and Basarab, Adrian and Brusseau, Elisabeth and Delachartre, Philippe and Vray, Didier},\r\ntitle = "{Static mechanical assessment of elastic Young's modulus of tissue mimicking materials used for medical imaging }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2007), Lyon, 23/08/07-26/08/07}",\r\nyear = {2007},\r\nmonth = {août},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {3450--3453},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Two-dimensional least-squares estimation for motion tracking in ultrasound elastography .\n \n \n \n\n\n \n Basarab, A.; Gueth, P.; Liebgott, H.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE Engineering in Medicine and Biology Society Conference (EMBC 2007), Lyon, 23/08/07-26/08/07, pages 2155–2158, http://www.ieee.org/, août 2007. IEEE\n \n\n\n\n
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@InProceedings{ BaGuLiDe2007.1,\r\nauthor = {Basarab, Adrian and Gueth, Pierre and Liebgott, Hervé and Delachartre, Philippe},\r\ntitle = "{Two-dimensional least-squares estimation for motion tracking in ultrasound elastography }",\r\nbooktitle = "{IEEE Engineering in Medicine and Biology Society Conference (EMBC 2007), Lyon, 23/08/07-26/08/07}",\r\nyear = {2007},\r\nmonth = {août},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {2155--2158},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Parametric deformable block matching for ultrasound imaging .\n \n \n \n\n\n \n Basarab, A.; Walid, A.; Liebgott, H.; Vray, D.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE International Conference on Image Processing (ICIP 2007), San Antonio, 16/09/07-19/09/07, pages 429–432, http://www.ieee.org/, novembre 2007. IEEE\n \n\n\n\n
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@InProceedings{ BaWaLiVrDe2007.1,\r\nauthor = {Basarab, Adrian and Walid, Aoudi and Liebgott, Hervé and Vray, Didier and Delachartre, Philippe},\r\ntitle = "{Parametric deformable block matching for ultrasound imaging }",\r\nbooktitle = "{IEEE International Conference on Image Processing (ICIP 2007), San Antonio, 16/09/07-19/09/07}",\r\nyear = {2007},\r\nmonth = {novembre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {429--432},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Estimation de décalages subpixéliques par ajustement de la phase des signaux complexes .\n \n \n \n\n\n \n Basarab, A.; Grava, C.; Buzuloiu, V.; and Delachartre, P.\n\n\n \n\n\n\n In Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2007), Troyes, 11/09/2007-14/09/2007, pages 149–152, http://www.traitementdusignal.fr/, septembre 2007. GRETSI CNRS\n \n\n\n\n
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@InProceedings{ BaGrBuDe2007.1,\r\nauthor = {Basarab, Adrian and Grava, Cristian and Buzuloiu, Vasile and Delachartre, Philippe},\r\ntitle = "{Estimation de décalages subpixéliques par ajustement de la phase des signaux complexes }",\r\nbooktitle = "{Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2007), Troyes, 11/09/2007-14/09/2007}",\r\nyear = {2007},\r\nmonth = {septembre},\r\npublisher = {GRETSI CNRS},\r\naddress = {http://www.traitementdusignal.fr/},\r\npages = {149--152},\r\nlanguage = {francais}\r\n}\r\n
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\n  \n 2006\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Improved Beamforming for Lateral Oscillations in Elastography Using Synthetic Aperture Imaging .\n \n \n \n\n\n \n Liebgott, H.; Basarab, A.; Loizeau, D.; Wilhjelm, J.; Jensen, J.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE International Ultrasonic Symposium, Vancouver, 03/10/06-06/10/06, pages 2168–2171, http://www.ieee.org/, octobre 2006. IEEE\n \n\n\n\n
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@InProceedings{ LiBaLoWiJeDe2006.1,\r\nauthor = {Liebgott, Hervé and Basarab, Adrian and Loizeau, Damien and Wilhjelm, J.E. and Jensen, J.A. and Delachartre, Philippe},\r\ntitle = "{Improved Beamforming for Lateral Oscillations in Elastography Using Synthetic Aperture Imaging }",\r\nbooktitle = "{IEEE International Ultrasonic Symposium, Vancouver, 03/10/06-06/10/06}",\r\nyear = {2006},\r\nmonth = {octobre},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {2168--2171},\r\nlanguage = {anglais}\r\n}\r\n
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\n \n\n \n \n \n \n \n Two-dimensional sub-sample estimation using plane phase fitting .\n \n \n \n\n\n \n Basarab, A.; Liebgott, H.; Grava, C.; and Delachartre, P.\n\n\n \n\n\n\n In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse, 15/05/06-19/05/06, pages 1152–1155, http://www.ieee.org/, mai 2006. IEEE\n \n\n\n\n
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@InProceedings{ BaLiGrDe2006.1,\r\nauthor = {Basarab, Adrian and Liebgott, Hervé and Grava, Cristian and Delachartre, Philippe},\r\ntitle = "{Two-dimensional sub-sample estimation using plane phase fitting }",\r\nbooktitle = "{IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse, 15/05/06-19/05/06}",\r\nyear = {2006},\r\nmonth = {mai},\r\npublisher = {IEEE},\r\naddress = {http://www.ieee.org/},\r\npages = {1152--1155},\r\nlanguage = {anglais}\r\n}\r\n
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