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Signal abnormalities on 1.5 and 3 Tesla brain MRI in multiple sclerosis patients and healthy controls. A morphological and spatial quantitative comparison study., , , , , , , , , and 4 other author(s). NeuroImage, 47 (4): 1352-1362 (2009)Improved operator agreement and efficiency using the minimum area contour change method for delineation of hyperintense multiple sclerosis lesions on FLAIR MRI., , , , , , , , , and . BMC Medical Imaging, (2013)Mapping the functional connectome traits of levels of consciousness., , , , , , , , , and 1 other author(s). NeuroImage, (2017)Modulation of the spontaneous hemodynamic response function across levels of consciousness., , , , , , , and . NeuroImage, (2019)Multivariate Functional Network Connectivity for Disorders of Consciousness., , , , , , , , and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 434-442. (2016)Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology., , , , and . Comp. Med. Imag. and Graph., (2018)Improved assessment of multiple sclerosis lesion segmentation agreement via detection and outline error estimates., , , , , , , , and . BMC Medical Imaging, (2012)