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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., , , , , , , , , и 1 other автор(ы). NeuroImage, 55 (3): 880-890 (2011)Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI., , и . NeuroImage, 60 (2): 1412-1425 (2012)Modelling white matter in gyral blades as a continuous vector field., , , , , , , и . NeuroImage, (2021)Bayesian Optimisation of Large-Scale Biophysical Networks., , , , и . NeuroImage, (2018)Identification of large-scale networks in the brain using fMRI., , , , , , и . NeuroImage, 29 (4): 1231-1243 (2006)Selection of Spatially Independent Components to Explain Functional Connectivity In fMRI., , , , и . ISBI, стр. 852-855. IEEE, (2004)Modelling fibre fanning in diffusion-weighted MRI., , и . ISBI, стр. 14-17. IEEE, (2012)A Transfer Learning Approach to Localising a Deep Brain Stimulation Target., , , и . MICCAI (9), том 14228 из Lecture Notes in Computer Science, стр. 176-185. Springer, (2023)Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?, , , , и . NeuroImage, 34 (1): 144-155 (2007)Transient spectral events in resting state MEG predict individual task responses., , , , , , и . NeuroImage, (2020)