Year: 2019
Type: conference-paper
Institution: University College London
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: U.S. Department of Defense, Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, University of Southern California, F. Hoffmann-La Roche, Meso Scale Diagnostics, Nvidia, BioClinica, Novartis Pharmaceuticals Corporation, Northern California Institute for Research and Education, National Institute for Health and Care Research, European Commission, Eisai, University College London Hospitals NHS Foundation Trust, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Canadian Institutes of Health Research, Engineering and Physical Sciences Research Council
Awards: G1012222616, G1298807586, G1554142629, G1593117279, G1650819308, G1693528767, G1694405320, G1880935189, G2100670906, G2152643862, G2189010064, G2340207221, G2471646051, G2522063444, G2810537366, G3018663809, G3131374986, Medical image computing for next-generation healthcare technology, G3158472349, G3553156159, G3710456697, G3752451908, G3870774570, G3908963977, G3966393351, G4119534169, G4266322423, Data-driven models for Progression Of Neurological Disease, G43180419, G4475667458, G4501223628, G4800177743, G5207404921, G5209990037, G528601746, G5324093878, G5365730499, G5581794527, G5654639750, G5740349702, G5850682332, G6039058924, G613619302, G6173816828, G6210868510, G6305660231, G6371410416, G6412110892, G6447063303, G6719828067, G6792506723, G6899163935, G6948409098, G72415811, G7298697282, G764699806, G7799614282, G781725486, G8228018387, G8281378126, G839208290, G844244329, G8852128998, G8895907669, G8897063270, G8957659042, G902693135
OpenAlex ID: W2956049869