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Strong-Weak Pruning for Brain Network Identification in Connectome-Wide Neuroimaging: Application to Amyotrophic Lateral Sclerosis Disease Stage Characterization., , , , , , , and . Int. J. Neural Syst., 29 (7): 1950007:1-1950007:20 (2019)Machine learning techniques for prediction of multiple sclerosis progression., , , , , and . Soft Comput., 26 (22): 12041-12055 (2022)Spatiotemporal pattern of neural processing in the human auditory cortex, , , , , , , , and . Science, (September 2002)Stochastic Rank Aggregation for the Identification of Functional Neuromarkers., , , , , , and . Neuroinformatics, 17 (4): 479-496 (2019)An MRI digital brain phantom for validation of segmentation methods., , , , , , , , , and 1 other author(s). Medical Image Anal., 15 (3): 329-339 (2011)Consensus-based feature extraction in rs-fMRI data analysis., , , , , , and . Soft Comput., 22 (11): 3785-3795 (2018)Independent component analysis of fMRI group studies by self-organizing clustering., , , , , , , , , and . NeuroImage, 25 (1): 193-205 (2005)Alcohol increases spontaneous BOLD signal fluctuations in the visual network., , , , , , and . NeuroImage, 53 (2): 534-543 (2010)Simultaneous resting-state FDG-PET/fMRI in Alzheimer Disease: Relationship between glucose metabolism and intrinsic activity., , , , , , , , , and 3 other author(s). NeuroImage, (2018)Real-time independent component analysis of fMRI time-series., , , , , , , , and . NeuroImage, 20 (4): 2209-2224 (2003)