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Towards algorithmic analytics for large-scale datasets., , and . Nat. Mach. Intell., 1 (7): 296-306 (2019)Sampling and Visualizing Creases with Scale-Space Particles., , , and . IEEE Trans. Vis. Comput. Graph., 15 (6): 1415-1424 (2009)Performance Evaluation of Ensemble Empirical Mode Decomposition., , , and . Adv. Data Sci. Adapt. Anal., 1 (2): 231-242 (2009)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)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)Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data., , , , , , , and . NeuroImage, (2018)Modelling subject variability in the spatial and temporal characteristics of functional modes., , , , , , , and . NeuroImage, (2020)Meaningful design and contrast estimability in FMRI., , , , and . NeuroImage, 34 (1): 127-136 (2007)