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Information-Theoretic Approach for Automated White Matter Fiber Tracts Reconstruction., , , , , , and . Neuroinformatics, 10 (3): 305-318 (2012)Development of an Automated CBCT Nerve and Teeth Segmentation Tool Based on Deep Learning., , , , and . CCIA, volume 375 of Frontiers in Artificial Intelligence and Applications, page 136-137. IOS Press, (2023)Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers, , , , , , , , , and 81 other author(s). Scientific Data, (August 2021)Spinal cord grey matter segmentation challenge., , , , , , , , , and 18 other author(s). NeuroImage, (2017)A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis., , , , , , , and . Frontiers Neuroinformatics, (2022)A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis., , , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 781-788. Springer, (2014)An automatic correction tool that can learn., , , and . FIE, page 1. IEEE Computer Society, (2011)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)A Formative Assessment Tool for Conceptual Database Design Using UML Class Diagram., , , , and . Int. J. Emerg. Technol. Learn., 5 (3): 27-33 (2010)Generic acquisition protocol for quantitative MRI of the spinal cord, , , , , , , , , and 81 other author(s). Nature Protocols, 16 (10): 4611-4632 (August 2021)