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Multimodal Surface Matching: Fast and Generalisable Cortical Registration Using Discrete Optimisation., , , , , , , , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 475-486. Springer, (2013)Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy., , , , , , , , and . NeuroImage, (2015)Neuroanatomical asymmetry patterns in individuals with schizophrenia and their non-psychotic siblings., , , , , , and . NeuroImage, 47 (4): 1221-1229 (2009)Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data., , , , , , , and . NeuroImage, (2018)Human Connectome Project informatics: Quality control, database services, and data visualization., , , , , , , , , and 14 other author(s). NeuroImage, (2013)MSM: A new flexible framework for Multimodal Surface Matching., , , , , , , , and . NeuroImage, (2014)The Lifespan Human Connectome Project in Aging: An overview., , , , , , , , , and 9 other author(s). NeuroImage, (2019)Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project., , , , , , , , and . Brain Connectivity, 6 (9): 669-680 (2016)Resting-state fMRI in the Human Connectome Project., , , , , , , , , and 15 other author(s). NeuroImage, (2013)Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power., , , , , , , and . NeuroImage, (2019)