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Micro-compartment specific T2⁎ relaxation in the brain., , , , , , and . NeuroImage, (2013)Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues., , , , , , , , , and 4 other author(s). CoRR, (2022)Impulse response timing differences in BOLD and CBV weighted fMRI., , , , , , and . NeuroImage, (2018)A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI., , , , , , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 100-108. Springer, (2018)Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging., , , , , , , and . NeuroImage, (2016)In vivo quantitative evaluation of brain tissue damage in multiple sclerosis using gradient echo plural contrast imaging technique., , , , and . NeuroImage, 51 (3): 1089-1097 (2010)In vivo quantification of T2⁎ anisotropy in white matter fibers in marmoset monkeys., , , , , , , and . NeuroImage, 59 (2): 979-985 (2012)