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The current state-of-the-art of spinal cord imaging: Applications., , , , , , , , , and 13 other author(s). NeuroImage, (2014)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)Evidence for cervical cord tissue disorganisation with aging by diffusion tensor MRI., , , , , , , and . NeuroImage, 36 (3): 728-735 (2007)Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification., , , , , , , , and . ICPR, page 10106-10112. IEEE, (2020)The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment., , , , , , , , , and 11 other author(s). NeuroImage, (2017)Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study., , , , , , , , , and 15 other author(s). NeuroImage, (2017)An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis., , , , , , and . CVPR (1), page 1122-1129. IEEE Computer Society, (2006)Dynamic Functional Connectivity in the Main Clinical Phenotypes of Multiple Sclerosis., , , , , and . Brain Connect., 11 (8): 678-690 (2021)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)