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Neuroimage. Clinical|January 23, 2015
Predicting outcome in clinically isolated syndrome using machine learningV Wottschel, D C Alexander, P P Kwok, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|July 19, 2023
Networks of microstructural damage predict disability in multiple sclerosisElisa Colato, Ferran Prados, Jonathan Stutters, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|June 17, 2005
Emergence of thalamic magnetization transfer ratio abnormality in early relapsing-remitting multiple sclerosisG R Davies, D R Altmann, W Rashid, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|October 6, 2012
ADvanced IMage Algebra (ADIMA): a novel method for depicting multiple sclerosis lesion heterogeneity, as demonstrated by quantitative MRIMarios C Yiannakas, Daniel J Tozer, Klaus Schmierer, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|February 6, 2004
Diffusion tensor imaging of early relapsing-remitting multiple sclerosis with histogram analysis using automated segmentation and brain volume correctionW Rashid, A Hadjiprocopis, C M Griffin, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|August 26, 2004
Progressive grey matter atrophy in clinically early relapsing-remitting multiple sclerosisD T Chard, C M Griffin, W Rashid, et al.
Brain : a Journal of Neurology|March 5, 2004
Early development of multiple sclerosis is associated with progressive grey matter atrophy in patients presenting with clinically isolated syndromesCatherine M Dalton, Declan T Chard, Gerard R Davies, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|April 21, 2021
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumesElisa Colato, Jonathan Stutters, Carmen Tur, et al.
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