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What can reanalysis data tell us about wind power?, and . Renewable Energy, (November 2015)Prospects for a Big Data History of Music., and . DLfM@JCDL, page 1-3. ACM, (2014)Multi-atlas and Gaussian Mixture Modeling Based Perirectal Fat Segmentation from CT Images., , , , , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 194-202. Springer, (2013)HOMOR: Higher Order Model Outlier Rejection for high b-value MR diffusion data., , , , and . NeuroImage, 63 (2): 835-842 (2012)Mapping hippocampal and ventricular change in Alzheimer disease., , , , , , , , , and 1 other author(s). NeuroImage, 22 (4): 1754-1766 (2004)MRI Structural Connectivity, Disruption of Primary Sensorimotor Pathways, and Hand Function in Cerebral Palsy., , , and . Brain Connect., 1 (4): 309-316 (2011)Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants., , , , , , , , , and 5 other author(s). NeuroImage, (2023)Evidence of altered prefrontal-thalamic circuitry in schizophrenia: An optimized diffusion MRI study., , , , , , , , , and . NeuroImage, 32 (1): 16-22 (2006)Brain microstructure and morphology of very preterm-born infants at term equivalent age: Associations with motor and cognitive outcomes at 1 and 2 years., , , , , and . NeuroImage, (2020)Distance informed Track-Weighted Imaging (diTWI): A framework for sensitising streamline information to neuropathology., , , , , , , , , and . NeuroImage, (2014)