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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)Crossing fibres in tract-based spatial statistics., , and . NeuroImage, 49 (1): 249-256 (2010)Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies., , , , and . NeuroImage, 45 (3): 810-823 (2009)Behavioral Interpretations of Intrinsic Connectivity Networks., , , , , , , , , and . J. Cogn. Neurosci., 23 (12): 4022-4037 (2011)Causal inference on neuroimaging data with Mendelian randomisation., , and . NeuroImage, (2022)Multilevel linear modelling for FMRI group analysis using Bayesian inference., , , , and . NeuroImage, 21 (4): 1732-1747 (2004)Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data., , , , , , , and . NeuroImage, (2018)On Bias in the Estimation of Autocorrelations for fMRI Voxel Time-Series Analysis., and . NeuroImage, 18 (1): 83-90 (2003)The nonhuman primate neuroimaging and neuroanatomy project., , , , , , , , , and 1 other author(s). NeuroImage, (2021)