Paugam, François
Lefeuvre, Jennifer
Perone, Christian S.
Gros, Charley https://orcid.org/0000-0003-4318-0024
Reich, Daniel S.
Sati, Pascal
Cohen-Adad, Julien
Funding for this research was provided by:
Canada Research Chair in Quantitative Magnetic Resonance Imaging (950-230815)
Canadian Institute of Health Research (CIHR FDN-143263)
Canada Foundation for Innovation (32454, 34824)
Fonds de Recherche du Québec - Santé (28826)
Fonds de Recherche du Québec - Nature et Technologies (2015-PR-182754)
Natural Sciences and Engineering Research Council of Canada (RGPIN-2013-435897, RGPIN-2019-07244)
Canada First Research Excellence Fund
Quebec BioImaging Network (5886, 35450)
This article is maintained by: Elsevier
Article Title: Open-source pipeline for multi-class segmentation of the spinal cord with deep learning
Journal Title: Magnetic Resonance Imaging
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.mri.2019.04.009
Content Type: article
Copyright: © 2019 Published by Elsevier Inc.