{"id":"W2084443965","doi":"10.1016/j.neuroimage.2015.04.042","title":"A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1344,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIH Blueprint for Neuroscience Research; National Institute of Mental Health; National Center for Complementary and Integrative Health; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Diego; Genentech; National Institutes of Health; Diputación Foral de Gipuzkoa; National Institute of Neurological Disorders and Stroke; IXICO; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Tekes; Synarc; University of Southern California; Medpace; Novartis Pharmaceuticals Corporation; Framingham Heart Study; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health; National Center for Research Resources; F. Hoffmann-La Roche; Ellison Medical Foundation; Alzheimer's Disease Neuroimaging Initiative; National Center for Complementary and Alternative Medicine; Meso Scale Diagnostics","keywords":"Segmentation; Computer science; Atlas (anatomy); Hippocampal formation; Artificial intelligence; Neuroimaging; Pattern recognition (psychology); Magnetic resonance imaging; Computer vision; Neuroscience; Medicine; Anatomy; Radiology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null}