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Structural covariability hubs in old age., , , , and . NeuroImage, (2019)Age effects on hippocampal structural changes in old men: The HAAS., , , , , , , and . NeuroImage, 40 (3): 1003-1015 (2008)Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan., , , , , , , , , and 9 other author(s). NeuroImage, (2020)Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network., , , , , , , and . NeuroImage, (2015)Pathways linking regional hyperintensities in the brain and slower gait., , , , , , , , and . NeuroImage, (2014)Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study., , , , , and . BMC Medical Informatics Decis. Mak., 23 (1): 168 (December 2023)Brain tissue volumes in the general population of the elderly: The AGES-Reykjavik Study., , , , , , , , , and 3 other author(s). NeuroImage, 59 (4): 3862-3870 (2012)Analysis and validation of automated skull stripping tools: A validation study based on 296 MR images from the Honolulu Asia aging study., , , , and . NeuroImage, 30 (4): 1179-1186 (2006)Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries, , , , , , , , , and 91 other author(s). Nature, 612 (7938): E7-E7 (2022)The AGES-Reykjavik study atlases: Non-linear multi-spectral template and atlases for studies of the ageing brain., , , , , , , , , and . Medical Image Anal., (2017)