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Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline., , , , , , , , , and 4 other author(s). PSB, page 307-318. (2018)Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis., , , , , , and . ISBI, page 1402-1406. IEEE, (2015)Anatomical Global Spatial Normalization., , , , , , , , , and . Neuroinformatics, 8 (3): 171-182 (2010)ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis., , , , , , , and . BMC Bioinformatics, 18 (6): 17-29 (2017)Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies., , , , , , , and . NeuroImage, 53 (3): 1135-1146 (2010)Genetics of microstructure of cerebral white matter using diffusion tensor imaging., , , , , , , , , and . NeuroImage, 53 (3): 1109-1116 (2010)Towards Visual Mega-Analysis of Voxel-based Measurement in Brain Cohorts., , , , and . EuroVis (Short Papers), page 55-59. Eurographics Association, (2016)Building a Human Brain Atlas Optimized for Normal Adult Anatomy., , and . AMIA, AMIA, (2002)Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data., , , , , , , , , and 20 other author(s). NeuroImage, (2015)The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects., , , , , , , , , and 10 other author(s). NeuroImage, (2016)