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Journal Articles
- 2021
[j4]Charley Gros
, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Marie-Helene Bourget, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad:
ivadomed: A Medical Imaging Deep Learning Toolbox. J. Open Source Softw. 6(58): 2868 (2021)- [j3]Charley Gros, Andréanne Lemay, Julien Cohen-Adad:
SoftSeg: Advantages of soft versus binary training for image segmentation. Medical Image Anal. 71: 102038 (2021) - 2019
- [j2]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
- [j1]Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Julien Cohen-Adad, Michaël Sdika:
Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. Medical Image Anal. 44: 215-227 (2018)
Conference and Workshop Papers
- 2021
- [c2]Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad:
Benefits of Linear Conditioning for Segmentation using Metadata. MIDL 2021: 416-430 - 2017
- [c1]Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Michaël Sdika, Julien Cohen-Adad:
OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization. MICCAI (2) 2017: 712-719
Informal and Other Publications
- 2022
- [i10]Andréanne Lemay, Charley Gros, Julien Cohen-Adad:
Label fusion and training methods for reliable representation of inter-rater uncertainty. CoRR abs/2202.07550 (2022) - 2021
- [i9]Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad:
Benefits of Linear Conditioning for Segmentation using Metadata. CoRR abs/2102.09582 (2021) - [i8]Olivier Vincent, Charley Gros, Julien Cohen-Adad:
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation. CoRR abs/2105.02197 (2021) - [i7]Uzay Macar, Enamundram Naga Karthik, Charley Gros, Andréanne Lemay, Julien Cohen-Adad:
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge. CoRR abs/2109.05409 (2021) - [i6]Nilser J. Laines Medina, Charley Gros, Julien Cohen-Adad, Virginie Callot, Arnaud Le Troter:
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T. CoRR abs/2110.06516 (2021) - 2020
- [i5]Olivier Vincent, Charley Gros, Joseph Paul Cohen, Julien Cohen-Adad:
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts? CoRR abs/2003.04377 (2020) - [i4]Charley Gros, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad:
ivadomed: A Medical Imaging Deep Learning Toolbox. CoRR abs/2010.09984 (2020) - [i3]Charley Gros, Andréanne Lemay, Julien Cohen-Adad:
SoftSeg: Advantages of soft versus binary training for image segmentation. CoRR abs/2011.09041 (2020) - [i2]Andréanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu:
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning. CoRR abs/2012.12820 (2020) - 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)
Coauthor Index
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