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The Human Connectome Project: A retrospective., , , , , , , , , and 8 other author(s). NeuroImage, (2021)Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy., , , , , , , , and . NeuroImage, (2015)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)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)Cardiovascular and metabolic health is associated with functional brain connectivity in middle-aged and older adults: Results from the Human Connectome Project-Aging study., , , , , , , , , and 5 other author(s). NeuroImage, (August 2023)Resting-state fMRI in the Human Connectome Project., , , , , , , , , and 15 other author(s). NeuroImage, (2013)Test-retest reliability of fMRI-measured brain activity during decision making under risk., , , , , , and . NeuroImage, (2020)Classification of temporal ICA components for separating global noise from fMRI data: Reply to Power., , , , , , , and . NeuroImage, (2019)Function in the human connectome: Task-fMRI and individual differences in behavior., , , , , , , , , and 10 other author(s). NeuroImage, (2013)