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How reliable are MEG resting-state connectivity metrics?, , , , , and . NeuroImage, (2016)Modelling subject variability in the spatial and temporal characteristics of functional modes., , , , , , , and . NeuroImage, (2020)Crossing fibres in tract-based spatial statistics., , and . NeuroImage, 49 (1): 249-256 (2010)General multilevel linear modeling for group analysis in FMRI., , and . NeuroImage, 20 (2): 1052-1063 (2003)The future of FMRI connectivity.. NeuroImage, 62 (2): 1257-1266 (2012)Tensorial extensions of independent component analysis for multisubject FMRI analysis., and . NeuroImage, 25 (1): 294-311 (2005)fMRI resting state networks define distinct modes of long-distance interactions in the human brain., , , , and . NeuroImage, 29 (4): 1359-1367 (2006)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping., , , , , and . NeurIPS, (2020)A Machine Learning Approach to Diffusion MRI Partial Volume Estimation., , , , and . SASHIMI@MICCAI, volume 11037 of Lecture Notes in Computer Science, page 42-51. Springer, (2018)Segmentation of Brain MR Images through a Hidden Markov Random Field Model and the Expectation Maximization Algorithm., , and . IEEE Trans. Medical Imaging, 20 (1): 45-57 (2001)