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Selection of Spatially Independent Components to Explain Functional Connectivity In fMRI., , , , and . ISBI, page 852-855. IEEE, (2004)Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project., , , , , , , , , and 17 other author(s). NeuroImage, (2013)Bayesian Optimisation of Large-Scale Biophysical Networks., , , , and . NeuroImage, (2018)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)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)Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI., , and . NeuroImage, 60 (2): 1412-1425 (2012)Identification of large-scale networks in the brain using fMRI., , , , , , and . NeuroImage, 29 (4): 1231-1243 (2006)Modelling fibre fanning in diffusion-weighted MRI., , and . ISBI, page 14-17. IEEE, (2012)Crossing fibres in tract-based spatial statistics., , and . NeuroImage, 49 (1): 249-256 (2010)Connectivity-based segmentation of the substantia nigra in human and its implications in Parkinson's disease., , , , and . NeuroImage, 52 (4): 1175-1180 (2010)