Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA)
Year: 2022
Type: article
Institutions: Johns Hopkins University, Centre National de la Recherche Scientifique, Inserm, Sorbonne Université, Laboratoire d’Imagerie Biomédicale, Vall d'Hebron Hospital Universitari, Université Paris Cité, Assistance Publique – Hôpitaux de Paris, Hôpital Européen Georges-Pompidou, Paris Cardiovascular Research Center, National Institutes of Health, National Heart, Lung, and Blood Institute, University of Wisconsin–Madison
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G1261793039, G1276754516, G1294553593, G1640378483, Wake Forest Clinical and Translational Science Award, G1983464145, G2095942735, G2144938473, G22458031, G2726417417, G2837638605, G290884426, G291913881, G3581052147, G3595232572, G3667269547, G4309390892, G4401650913, G4590187187, G4986157935, G5075046117, G5108002584, G5653954166, Institute for Clinical and Translational Research, G66341962, G6856766826, G7166352866, G78770644, G805458286, Clinical and Translational Science Award, G8145863542, Medical Scientist Training Program, G991334795
OpenAlex ID: W3133647560