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Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging., , , , , , , , , and 17 other author(s). CoRR, (2020)Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth., , , , , , , , , and 5 other author(s). NeuroImage, (2013)Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity., , , , , , , , , and 4 other author(s). NeuroImage, (2017)Effects of resting state condition on reliability, trait specificity, and network connectivity of brain function measured with arterial spin labeled perfusion MRI., , , , , and . NeuroImage, (2018)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)Being right is its own reward: Load and performance related ventral striatum activation to correct responses during a working memory task in youth., , , , , , , , , and . NeuroImage, 61 (3): 723-729 (2012)Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes., , , , , , , , , and 20 other author(s). Medical Image Anal., (2022)Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth., , , , , , , and . NeuroImage, 60 (1): 623-632 (2012)