June 01, 2021 article Open access Prognostic Implications of Comprehensive Whole Vessel Plaque Quantification Using Coronary Computed Tomography Angiography JACC Asia DOI: 10.1016/j.jacasi.2021.05.003 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 18 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Artificial Intelligence–Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome 2024 JACC. Cardiovascular imaging article Medicine Cardiac Imaging and Diagnostics Open access 102 citations Interaction of AI-Enabled Quantitative Coronary Plaque Volumes on Coronary CT Angiography, FFR CT , and Clinical Outcomes: A Retrospective Analysis of the ADVANCE Registry 2024 Circulation Cardiovascular Imaging article Medicine Cardiac Imaging and Diagnostics Open access 42 citations Integrating Coronary Atherosclerosis Burden and Progression with Coronary Artery Disease Risk Factors to Guide Therapeutic Decision Making 2022 The American Journal of Medicine article Medicine Cardiac Imaging and Diagnostics Open access 49 citations The Multidimensionality of Coronary Artery Disease 2021 JACC Asia article Medicine Cardiac Imaging and Diagnostics Open access 2 citations 4 results References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry 2020 Journal of the American Heart Association article Medicine Cardiac Imaging and Diagnostics Open access 97 citations 1 result