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An Ontological Representation and Analysis of Patient-reported and Clinical Outcomes for Multiple Sclerosis.

, , , , , , and . ICBO, volume 1327 of CEUR Workshop Proceedings, page 52-55. CEUR-WS.org, (2014)

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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)Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls., , , , , , and . NeuroImage, (2019)Quantitative diffusion weighted imaging measures in patients with multiple sclerosis., , , , , , , , , and . NeuroImage, 36 (3): 746-754 (2007)Independent contributions of cortical gray matter atrophy and ventricle enlargement for predicting neuropsychological impairment in multiple sclerosis., , , , , , , , , and 1 other author(s). NeuroImage, 36 (4): 1294-1300 (2007)Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality., , , , , , , , , and . NeuroImage, (2018)The neurological disease ontology., , , , , , , , , and 2 other author(s). J. Biomed. Semant., (2013)Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis: A case-control study., , , , , , , , , and 3 other author(s). NeuroImage, 59 (1): 331-339 (2012)Susceptibility networks reveal independent patterns of brain iron abnormalities in multiple sclerosis., , , , , , , , , and 1 other author(s). NeuroImage, (2022)An Ontological Representation and Analysis of Patient-reported and Clinical Outcomes for Multiple Sclerosis., , , , , , and . ICBO, volume 1327 of CEUR Workshop Proceedings, page 52-55. CEUR-WS.org, (2014)