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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)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)Towards algorithmic analytics for large-scale datasets., , and . Nat. Mach. Intell., 1 (7): 296-306 (2019)Behavioral Interpretations of Intrinsic Connectivity Networks., , , , , , , , , and . J. Cogn. Neurosci., 23 (12): 4022-4037 (2011)Faster permutation inference in brain imaging., , , , and . NeuroImage, (2016)On Bias in the Estimation of Autocorrelations for fMRI Voxel Time-Series Analysis., and . NeuroImage, 18 (1): 83-90 (2003)Multilevel linear modelling for FMRI group analysis using Bayesian inference., , , , and . NeuroImage, 21 (4): 1732-1747 (2004)FSL., , , , and . NeuroImage, 62 (2): 782-790 (2012)