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Identification of large-scale networks in the brain using fMRI., , , , , , and . NeuroImage, 29 (4): 1231-1243 (2006)Bayesian Optimisation of Large-Scale Biophysical Networks., , , , and . NeuroImage, (2018)Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI., , and . NeuroImage, 60 (2): 1412-1425 (2012)Modelling white matter in gyral blades as a continuous vector field., , , , , , , and . NeuroImage, (2021)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)A Transfer Learning Approach to Localising a Deep Brain Stimulation Target., , , and . MICCAI (9), volume 14228 of Lecture Notes in Computer Science, page 176-185. Springer, (2023)Selection of Spatially Independent Components to Explain Functional Connectivity In fMRI., , , , and . ISBI, page 852-855. IEEE, (2004)Modelling fibre fanning in diffusion-weighted MRI., , and . ISBI, page 14-17. IEEE, (2012)Neuroimage special issue on brain segmentation and parcellation - Editorial., , and . NeuroImage, (2018)Connectivity-based segmentation of the substantia nigra in human and its implications in Parkinson's disease., , , , and . NeuroImage, 52 (4): 1175-1180 (2010)