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Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging., , , , , , , , , and . NeuroImage, (2017)Brain volume loss in individuals over time: Source of variance and limits of detectability., , , , , , , and . NeuroImage, (2020)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)Evaluation of automated techniques for the quantification of grey matter atrophy in patients with multiple sclerosis., , , , , , , and . NeuroImage, 52 (4): 1261-1267 (2010)Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis., , , , , and . NeuroImage, (2020)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 9 other author(s). NeuroImage, (2019)