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PyXNAT: XNAT in Python., , , , , , , and . Front. Neuroinform., (2012)Randomized parcellation based inference., , , , , , , , , and 10 other author(s). NeuroImage, (2014)Predicting brain-age from multimodal imaging data captures cognitive impairment., , , , , , , , , and 7 other author(s). NeuroImage, (2017)Decoding fMRI activity in the time domain improves classification performance., , and . NeuroImage, 180 (Part): 203-210 (2018)Robust regression for large-scale neuroimaging studies., , , , , , , , , and 11 other author(s). NeuroImage, (2015)Benchmarking functional connectome-based predictive models for resting-state fMRI., , , , , , and . NeuroImage, (2019)Convex relaxations of penalties for sparse correlated variables with bounded total variation., , , and . Machine Learning, 100 (2-3): 533-553 (2015)Similarity encoding for learning with dirty categorical variables., , and . CoRR, (2018)Stochastic Subsampling for Factorizing Huge Matrices., , , and . CoRR, (2017)CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series, , , and . CoRR, (2009)