Vision Foundation Models for Computed Tomography

AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning


Authors:Suraj Pai (1 and 2 and 3), Ibrahim Hadzic (1 and 2 and 3), Dennis Bontempi (1 and 2 and 3), Keno Bressem (4 and 5), Benjamin H. Kann (1 and 3), Andriy Fedorov (6), Raymond H. Mak (1 and 3), Hugo J. W. L. Aerts (1 and 2 and 3 and 6) ((1) Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, (2) Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, (3) Department of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, (4) Department of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, TUM University Hospital, (5) Department of Cardiovascular Radiology and Nuclear Medicine, Technical University of Munich, School of Medicine and Health, German Heart Center, TUM University Hospital, (6) Department of Radiology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School)

View a PDF of the paper titled Vision Foundation Models for Computed Tomography, by Suraj Pai (1 and 2 and 3) and 30 other authors



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