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Lydia Chougar
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2020 – today
- 2023
- [c2]Sophie Loizillon, Olivier Colliot, Lydia Chougar, Sebastian Ströer, Yannick Jacob, Aurélien Maire, Didier Dormont, Ninon Burgos:
Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse. DART@MICCAI 2023: 84-93 - [c1]Guanghui Fu, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Stéphane Lehéricy, Olivier Colliot:
Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss. Image Processing 2023 - [i3]Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot:
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data. CoRR abs/2302.12980 (2023) - 2022
- [b1]Lydia Chougar:
Apport de l'iRM multimodale pour le Diagnostic DifféRentiel des Syndromes Parkinsoniens. (Contribution of Multimodal MRI for the differential Diagnosis of Parkinsonian Syndromes). Sorbonne University, Paris, France, 2022 - [i2]Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot:
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. CoRR abs/2211.01353 (2022)
2010 – 2019
- 2019
- [j1]Charley Gros, Benjamin De Leener, Atef Badji, Josefina Maranzano, Dominique Eden, Sara M. Dupont, Jason Talbott, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Leszek Stawiarz, Jan Hillert, Elise Bannier, Julien Cohen-Adad:
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. NeuroImage 184: 901-915 (2019) - 2018
- [i1]Charley Gros, Benjamin De Leener, Atef Badji, Josefina Maranzano, Dominique Eden, Sara M. Dupont, Jason Talbott, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Leszek Stawiarz, Jan Hillert, Elise Bannier, Anne Kerbrat, Gilles Edan, Pierre Labauge, Virginie Callot, Jean Pelletier, Bertrand Audoin, Henitsoa Rasoanandrianina, Jean-Christophe Brisset, Paola Valsasina, Maria Assunta Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios C. Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth A. Smith, Constantina Andrada Treaba, Caterina Mainero, Jennifer Lefeuvre, Daniel S. Reich, Govind Nair, Vincent Auclair, Donald G. McLaren, Allan R. Martin, Michael G. Fehlings, Shahabeddin Vahdat, Ali Khatibi, Julien Doyon, Timothy M. Shepherd, Erik Charlson, Sridar Narayanan, Julien Cohen-Adad:
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. CoRR abs/1805.06349 (2018)
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