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Independent contributions of cortical gray matter atrophy and ventricle enlargement for predicting neuropsychological impairment in multiple sclerosis.

, , , , , , , , , , and . NeuroImage, 36 (4): 1294-1300 (2007)

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MIMoSA: An Approach to Automatically Segment T2 Hyperintense and T1 Hypointense Lesions in Multiple Sclerosis., , , , , , , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 47-56. Springer, (2018)Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?, , , , , , , , , and 1 other author(s). CoRR, (2022)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 spinal cord localization, robust to MRI contrasts using global curve optimization., , , , , , , , , and 2 other author(s). Medical Image Anal., (2018)3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis., , , , , , , , , and 1 other author(s). NeuroImage, 46 (3): 633-641 (2009)The relationship between whole brain volume and disability in multiple sclerosis: A comparison of normalized gray vs. white matter with misclassification correction., , , , and . NeuroImage, 26 (4): 1068-1077 (2005)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)Power estimation for non-standardized multisite studies., , , , , , , , , and 46 other author(s). NeuroImage, (2016)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)The effect of intramuscular interferon beta-1a on spinal cord volume in relapsing-remitting multiple sclerosis., , , , , , and . BMC Medical Imaging, (2016)