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MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.

, , , , , , , , and . NeuroImage, (2016)

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Unsupervised Learning of Functional Network Dynamics in Resting State fMRI., , , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 426-437. Springer, (2013)Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists., , , , , , and . NeuroImage, (2020)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)Neuroimaging of the Philadelphia Neurodevelopmental Cohort., , , , , , , , , and 7 other author(s). NeuroImage, (2014)Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth., , , , , , , , , and 5 other author(s). NeuroImage, (2013)Dissociable but inter-related systems of cognitive control and reward during decision making: Evidence from pupillometry and event-related fMRI., , , , , and . NeuroImage, 37 (3): 1017-1031 (2007)Large-scale sparse functional networks from resting state fMRI., , and . NeuroImage, (2017)ModelArray: An R package for statistical analysis of fixel-wise data., , , , , , , , , and 8 other author(s). NeuroImage, (May 2023)Brain state flexibility accompanies motor-skill acquisition., , , , , , and . NeuroImage, (2018)Discriminative Sparse Connectivity Patterns for Classification of fMRI Data., , , , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 193-200. Springer, (2014)