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)

Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter. - Sara M. Dupont; Benjamin De Leener; Manuel Taso; Arnaud Le Troter; Sylvie Nadeau; Nikola Stikov; Virginie Callot; Julien Cohen-Adad (NeuroImage, 2017)

SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. - Benjamin De Leener; Simon Lévy; Sara M. Dupont; Vladimir S. Fonov; Nikola Stikov; D. Louis Collins; Virginie Callot; Julien Cohen-Adad (NeuroImage, 2017)

Spinal cord grey matter segmentation challenge. - Ferran Prados; John Ashburner; Claudia Blaiotta; Tom Brosch; Julio Carballido-Gamio; Manuel Jorge Cardoso; Benjamin N. Conrad; Esha Datta; Gergely Dávid; Benjamin De Leener; Sara M. Dupont; Patrick Freund; et al. (NeuroImage, 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)

Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing. - Andrew L. Callen; Sara M. Dupont; Adi Price; Ben Laguna; David McCoy; Bao Do; Jason Talbott; Marc D. Kohli; Jared Narvid (J. Digit. Imaging, 2020)