OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization. - 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 (MICCAI (2), 2017)

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. - 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; et al. (CoRR, 2018)

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. - 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 (Medical Image Anal., 2018)

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. - 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; et al. (NeuroImage, 2019)

Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts? - Olivier Vincent; Charley Gros; Joseph Paul Cohen; Julien Cohen-Adad (CoRR, 2020)

ivadomed: A Medical Imaging Deep Learning Toolbox. - Charley Gros; Andréanne Lemay; Olivier Vincent; Lucas Rouhier; Anthime Bucquet; Joseph Paul Cohen; Julien Cohen-Adad (CoRR, 2020)

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning. - Andréanne Lemay; Charley Gros; Zhizheng Zhuo; Jie Zhang; Yunyun Duan; Julien Cohen-Adad; Yaou Liu (CoRR, 2020)

Benefits of Linear Conditioning for Segmentation using Metadata. - Andréanne Lemay; Charley Gros; Olivier Vincent; Yaou Liu; Joseph Paul Cohen; Julien Cohen-Adad (MIDL, 2021)

Impact of individual rater style on deep learning uncertainty in medical imaging segmentation. - Olivier Vincent; Charley Gros; Julien Cohen-Adad (CoRR, 2021)

Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge. - Uzay Macar; Enamundram Naga Karthik; Charley Gros; Andréanne Lemay; Julien Cohen-Adad (CoRR, 2021)

2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T. - Nilser J. Laines Medina; Charley Gros; Julien Cohen-Adad; Virginie Callot; Arnaud Le Troter (CoRR, 2021)

ivadomed: A Medical Imaging Deep Learning Toolbox. - Charley Gros; Andréanne Lemay; Olivier Vincent; Lucas Rouhier; Marie-Hélène Bourget; Anthime Bucquet; Joseph Paul Cohen; Julien Cohen-Adad (J. Open Source Softw., 2021)

SoftSeg: Advantages of soft versus binary training for image segmentation. - Charley Gros; Andréanne Lemay; Julien Cohen-Adad (Medical Image Anal., 2021)

Label fusion and training methods for reliable representation of inter-rater uncertainty. - Andréanne Lemay; Charley Gros; Julien Cohen-Adad (CoRR, 2022)