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In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: A surface-based analysis.

, , , , , , , and . NeuroImage, 57 (1): 55-62 (2011)

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Strategies for improving the detection of fMRI activation in trigeminal pathways with cardiac gating., , , , , , , , and . NeuroImage, 31 (4): 1506-1512 (2006)In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: A surface-based analysis., , , , , , , and . NeuroImage, 57 (1): 55-62 (2011)Fast quantitative susceptibility mapping using 3D EPI and total generalized variation., , , , , , , , , and . NeuroImage, (2015)Early axonal damage in normal appearing white matter in multiple sclerosis: Novel insights from multi-shell diffusion MRI., , , , , , , and . EMBC, page 3024-3027. IEEE, (2017)Mapping the spinal and supraspinal pathways of dynamic mechanical allodynia in the human trigeminal system using cardiac-gated fMRI., , , , and . NeuroImage, 35 (3): 1201-1210 (2007)Multivariate combination of magnetization transfer, T2* and B0 orientation to study the myelo-architecture of the in vivo human cortex., , , and . NeuroImage, (2015)T2* mapping and B0 orientation-dependence at 7 T reveal cyto- and myeloarchitecture organization of the human cortex., , , , , , , and . NeuroImage, 60 (2): 1006-1014 (2012)Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks., , , , , , , , , and 42 other author(s). CoRR, (2018)A Fast Approach to Automatic Detection of Brain Lesions., , , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 52-61. (2016)