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A functional magnetic resonance imaging study of patients with secondary progressive multiple sclerosis., , , , , , , , and . NeuroImage, 19 (4): 1770-1777 (2003)A method for obtaining tract-specific diffusion tensor MRI measurements in the presence of disease: application to patients with clinically isolated syndromes suggestive of multiple sclerosis., , , and . NeuroImage, 26 (1): 258-265 (2005)Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification., , , , , , , , and . ICPR, page 10106-10112. IEEE, (2020)Dynamic Functional Connectivity in the Main Clinical Phenotypes of Multiple Sclerosis., , , , , and . Brain Connect., 11 (8): 678-690 (2021)A Semi-automatic Method for Segmentation of Multiple Sclerosis Lesions on Dual-Echo Magnetic Resonance Images., , , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 80-90. Springer, (2015)Incorporating Domain Knowledge Into the Fuzzy Connectedness Framework: Application to Brain Lesion Volume Estimation in Multiple Sclerosis., , , , , , , , , and 1 other author(s). IEEE Trans. Med. Imaging, 26 (12): 1670-1680 (2007)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation., , , , , , and . CoRR, (2018)The level of spinal cord involvement influences the pattern of movement-associated cortical recruitment in patients with isolated myelitis., , , , , and . NeuroImage, 30 (3): 879-884 (2006)Mean diffusivity and fractional anisotropy histogram analysis of the cervical cord in MS patients., , , , , , , , and . NeuroImage, 26 (3): 822-828 (2005)