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Atef Badji

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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

Sep 11, 2018
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 A. Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth 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 Shepherd, Erik Charlson, Sridar Narayanan, Julien Cohen-Adad

Figure 1 for Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
Figure 2 for Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
Figure 3 for Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
Figure 4 for Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
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