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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)Performance Evaluation of Ensemble Empirical Mode Decomposition., , , and . Adv. Data Sci. Adapt. Anal., 1 (2): 231-242 (2009)Sampling and Visualizing Creases with Scale-Space Particles., , , and . IEEE Trans. Vis. Comput. Graph., 15 (6): 1415-1424 (2009)Multimodal surface matching with higher-order smoothness constraints., , , , , , , , , and 9 other author(s). NeuroImage, (2018)Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data., , , , , , , , , and 1 other author(s). NeuroImage, 31 (4): 1487-1505 (2006)How reliable are MEG resting-state connectivity metrics?, , , , , and . NeuroImage, (2016)Faster permutation inference in brain imaging., , , , and . NeuroImage, (2016)Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data., , , , , , , and . NeuroImage, (2018)