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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)

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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)Evaluation of supervised methods for the classification of major tissues and subcortical structures in multispectral brain magnetic resonance images., , , , , , and . Comput. Medical Imaging Graph., 38 (5): 337-347 (2014)Grey matter loss in relapsing-remitting multiple sclerosis: A voxel-based morphometry study., , , , , , , , , and 2 other author(s). NeuroImage, 29 (3): 859-867 (2006)Automatic MRI Brain Tissue Classification., , and . ERCIM News, (2013)An Ontology-Based Technique for Validation of MRI Brain Segmentation Methods., , , and . OTM Workshops (1), volume 4805 of Lecture Notes in Computer Science, page 566-575. Springer, (2007)Stereotaxy-Based Regional Brain Volumetry Applied to Segmented MRI: Validation and Results in Deficit and Nondeficit Schizophrenia., , , , , , , , and . NeuroImage, 17 (1): 373-384 (2002)An Ontology Approach for Classification of Abnormal White Matter in Patients with Multiple Sclerosis., , , and . USAB, volume 4799 of Lecture Notes in Computer Science, page 389-402. Springer, (2007)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)Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 23 (12): 1930-1947 (2012)