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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)Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data., , , and . IEEE Trans. Medical Imaging, 24 (1): 1-11 (2005)Behavioral Interpretations of Intrinsic Connectivity Networks., , , , , , , , , and . J. Cogn. Neurosci., 23 (12): 4022-4037 (2011)Towards algorithmic analytics for large-scale datasets., , and . Nat. Mach. Intell., 1 (7): 296-306 (2019)Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data., , , , , , , and . NeuroImage, (2018)Large-scale Probabilistic Functional Modes from resting state fMRI., , , , , , and . NeuroImage, (2015)Benefits of multi-modal fusion analysis on a large-scale dataset: Life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure., , , , , , , and . NeuroImage, 63 (1): 365-380 (2012)Faster permutation inference in brain imaging., , , , and . NeuroImage, (2016)The nonhuman primate neuroimaging and neuroanatomy project., , , , , , , , , and 1 other author(s). NeuroImage, (2021)Modelling subject variability in the spatial and temporal characteristics of functional modes., , , , , , , and . NeuroImage, (2020)