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The impact of in-scanner head motion on structural connectivity derived from diffusion MRI., , , , , , , , , and 4 other author(s). NeuroImage, (2018)System-level matching of structural and functional connectomes in the human brain., , , , , , , , , and . NeuroImage, (2019)Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology., , , , , , , , , and 11 other author(s). Proc. Natl. Acad. Sci. USA, 115 (16): 4252-4257 (2018)Physiological Modulations in Arterial Spin Labeling Perfusion Magnetic Resonance Imaging., , , , and . IEEE Trans. Medical Imaging, 28 (5): 703-709 (2009)Harmonization of multi-site diffusion tensor imaging data., , , , , , , , , and 3 other author(s). NeuroImage, (2017)FlywheelTools: Data Curation and Manipulation on the Flywheel Platform., , , , , , , , , and 4 other author(s). Frontiers Neuroinformatics, (2021)Multivariate fMRI Analysis Using Optimally-discriminative Voxel-based Analysis., , , , , and . PRNI, page 33-36. IEEE Computer Society, (2012)An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data, , , , , , , , , and 1 other author(s). NeuroImage, (January 2013)Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity, , , , , , , , , and 4 other author(s). (Aug 11, 2016)The Problem with Perceptual Synchrony.. COST TD0904 International Workshop, volume 6789 of Lecture Notes in Computer Science, page 58-66. Springer, (2010)