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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)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)How to build a cognitive map: insights from models of the hippocampal formation., , , and . CoRR, (2022)Disentangling with Biological Constraints: A Theory of Functional Cell Types., , , and . CoRR, (2022)Combined model-free and model-sensitive reinforcement learning in non-human primates., , , , and . PLoS Comput. Biol., (2020)Diffusion imaging of whole, post-mortem human brains on a clinical MRI scanner., , , , , , , , , and 5 other author(s). NeuroImage, 57 (1): 167-181 (2011)Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models., , and . NeuroImage, 44 (2): 373-384 (2009)RubiX: Combining Spatial Resolutions for Bayesian Inference of Crossing Fibers in Diffusion MRI., , , , , and . IEEE Trans. Medical Imaging, 32 (6): 969-982 (2013)