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Probabilistic mapping of human functional brain networks identifies regions of high group consensus., , , , , , and . NeuroImage, (2021)Accuracy and reliability of diffusion imaging models., , , , , , , , , and 13 other author(s). NeuroImage, (2022)Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity., , , , , , , , , and 8 other author(s). NeuroImage, (2020)Individual-specific features of brain systems identified with resting state functional correlations., , , , , , and . NeuroImage, (2017)Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project., , , , , , , , and . Brain Connect., 6 (9): 669-680 (2016)BOLD cofluctuation 'events' are predicted from static functional connectivity., , , , , , , and . NeuroImage, (2022)Correction of respiratory artifacts in MRI head motion estimates., , , , , , , , , and 9 other author(s). NeuroImage, (2020)