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Advances in diffusion MRI acquisition and processing in the Human Connectome Project., , , , , , , , , and 6 other author(s). NeuroImage, (2013)High resolution diffusion-weighted imaging in fixed human brain using diffusion-weighted steady state free precession., , , , , and . NeuroImage, 46 (3): 775-785 (2009)Spatially constrained hierarchical parcellation of the brain with resting-state fMRI., , , , , , and . NeuroImage, (2013)Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project., , , , , , , , , and 17 other author(s). NeuroImage, (2013)Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI., , and . NeuroImage, 60 (2): 1412-1425 (2012)DTI measures in crossing-fibre areas: Increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease., , , , , , , , , and 1 other author(s). NeuroImage, 55 (3): 880-890 (2011)Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project., , , , , , , , , and . NeuroImage, (2016)Resting-State FMRI Single Subject Cortical Parcellation Based on Region Growing., , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 188-195. Springer, (2012)Modelling fibre fanning in diffusion-weighted MRI., , and . ISBI, page 14-17. IEEE, (2012)RubiX: Combining Spatial Resolutions for Bayesian Inference of Crossing Fibers in Diffusion MRI., , , , , and . IEEE Trans. Med. Imaging, 32 (6): 969-982 (2013)