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Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity., , , , , , and . NeuroImage, (2022)A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis., , and . NeuroImage, (2019)Considering factors affecting the connectome-based identification process: Comment on Waller et al., , , , , and . NeuroImage, (2018)Ten simple rules for predictive modeling of individual differences in neuroimaging., , , , , , , , , and 3 other author(s). NeuroImage, (2019)Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors., , , , , and . NeuroImage, (2019)The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference., , and . MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 396-405. Springer, (2022)Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available., , , , , , , , , and 7 other author(s). Medical Image Anal., (August 2023)Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks., , , , , , and . IEEE Trans. Biomed. Eng., 63 (12): 2540-2549 (2016)Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics., , , , , , , , , and 6 other author(s). PLoS Comput. Biol., (2021)Connectome-based machine learning models are vulnerable to subtle data manipulations., , , , , , , , and . Patterns, 4 (7): 100756 (July 2023)