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Automatic spinal cord localization, robust to MRI contrasts using global curve optimization., , , , , , , , , and 2 other author(s). Medical Image Anal., (2018)OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization., , , , , , , , , and 2 other author(s). MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 712-719. Springer, (2017)SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data., , , , , , , and . NeuroImage, (2017)Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter., , , , , , , and . NeuroImage, (2017)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 9 other author(s). NeuroImage, (2019)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing., , , , , , , , and . J. Digit. Imaging, 33 (5): 1194-1201 (2020)Spinal cord grey matter segmentation challenge., , , , , , , , , and 18 other author(s). NeuroImage, (2017)