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Multivariate fuzzy analysis of brain tissue volumes and relaxation rates for supporting the diagnosis of relapsing-remitting multiple sclerosis., , , , , , and . Biomed. Signal Process. Control., (2019)An MRI digital brain phantom for validation of segmentation methods., , , , , , , , , and 1 other author(s). Medical Image Anal., 15 (3): 329-339 (2011)Stereotaxy-Based Regional Brain Volumetry Applied to Segmented MRI: Validation and Results in Deficit and Nondeficit Schizophrenia., , , , , , , , and . NeuroImage, 17 (1): 373-384 (2002)Brain tissue volume changes in relapsing-remitting multiple sclerosis: correlation with lesion load., , , , , , , , , and . NeuroImage, 18 (2): 360-366 (2003)A polynomial regression-based approach to estimate relaxation rate maps suitable for multiparametric segmentation of clinical brain MRI studies in multiple sclerosis., , , , , , , and . Comput. Methods Programs Biomed., (2022)Relationship between simultaneously acquired resting-state regional cerebral glucose metabolism and functional MRI: A PET/MR hybrid scanner study., , , , , , , , , and . NeuroImage, (2015)Grey matter loss in relapsing-remitting multiple sclerosis: A voxel-based morphometry study., , , , , , , , , and 2 other author(s). NeuroImage, 29 (3): 859-867 (2006)Modifications of brain tissue volumes in facioscapulohumeral dystrophy., , , , , , , , and . NeuroImage, 32 (3): 1237-1242 (2006)Simultaneous resting-state FDG-PET/fMRI in Alzheimer Disease: Relationship between glucose metabolism and intrinsic activity., , , , , , , , , and 3 other author(s). NeuroImage, (2018)