| Coronary atherosclerotic precursors of acute coronary syndromes HJ Chang, FY Lin, SE Lee, D Andreini, J Bax, F Cademartiri, ... Journal of the American College of Cardiology 71 (22), 2511-2522, 2018 | 393 | 2018 |
| Selective referral using CCTA versus direct referral for individuals referred to invasive coronary angiography for suspected CAD: a randomized, controlled, open-label trial HJ Chang, FY Lin, D Gebow, HY An, D Andreini, R Bathina, A Baggiano, ... JACC: Cardiovascular Imaging 12 (7 Part 2), 1303-1312, 2019 | 124 | 2019 |
| Triglyceride glucose index is an independent predictor for the progression of coronary artery calcification in the absence of heavy coronary artery calcification at baseline KB Won, EJ Park, D Han, JH Lee, SY Choi, EJ Chun, SH Park, HW Han, ... Cardiovascular diabetology 19, 1-8, 2020 | 120 | 2020 |
| Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ... The Lancet Digital Health 4 (4), e256-e265, 2022 | 114 | 2022 |
| Association of high-density calcified 1K plaque with risk of acute coronary syndrome AR Van Rosendael, J Narula, FY Lin, IJ Van Den Hoogen, U Gianni, ... JAMA cardiology 5 (3), 282-290, 2020 | 110 | 2020 |
| Identification and quantification of cardiovascular structures from CCTA: an end-to-end, rapid, pixel-wise, deep-learning method L Baskaran, G Maliakal, SJ Al’Aref, G Singh, Z Xu, K Michalak, K Dolan, ... Cardiovascular Imaging 13 (5), 1163-1171, 2020 | 66 | 2020 |
| Machine learning framework to identify individuals at risk of rapid progression of coronary atherosclerosis: from the PARADIGM registry D Han, KK Kolli, SJ Al'Aref, L Baskaran, AR van Rosendael, H Gransar, ... Journal of the American Heart Association 9 (5), e013958, 2020 | 64 | 2020 |
| Relationship between endothelial wall shear stress and high‐risk atherosclerotic plaque characteristics for identification of coronary lesions that cause ischemia: a direct … D Han, A Starikov, B ó Hartaigh, H Gransar, KK Kolli, JH Lee, A Rizvi, ... Journal of the American Heart Association 5 (12), e004186, 2016 | 63 | 2016 |
| Incremental role of resting myocardial computed tomography perfusion for predicting physiologically significant coronary artery disease: a machine learning approach D Han, JH Lee, A Rizvi, H Gransar, L Baskaran, J Schulman-Marcus, ... Journal of Nuclear Cardiology 25 (1), 223-233, 2018 | 57 | 2018 |
| Diagnostic performance of hybrid cardiac imaging methods for assessment of obstructive coronary artery disease compared with stand-alone coronary computed tomography … A Rizvi, D Han, I Danad, B ó Hartaigh, JH Lee, H Gransar, WJ Stuijfzand, ... JACC: Cardiovascular Imaging 11 (4), 589-599, 2018 | 56 | 2018 |
| Incremental prognostic value of coronary computed tomography angiography over coronary calcium scoring for major adverse cardiac events in elderly asymptomatic individuals D Han, BÓ Hartaigh, H Gransar, JH Lee, A Rizvi, L Baskaran, ... European Heart Journal-Cardiovascular Imaging 19 (6), 675-683, 2018 | 48 | 2018 |
| The relationship of insulin resistance estimated by triglyceride glucose index and coronary plaque characteristics KB Won, YS Kim, BK Lee, R Heo, D Han, JH Lee, SE Lee, JM Sung, I Cho, ... Medicine 97 (21), e10726, 2018 | 47 | 2018 |
| A boosted ensemble algorithm for determination of plaque stability in high-risk patients on coronary CTA SJ Al’Aref, G Singh, JW Choi, Z Xu, G Maliakal, AR van Rosendael, ... Cardiovascular Imaging 13 (10), 2162-2173, 2020 | 42 | 2020 |
| Impact of D-dimer for prediction of incident occult cancer in patients with unprovoked venous thromboembolism D Han, B ó Hartaigh, JH Lee, IJ Cho, CY Shim, HJ Chang, GR Hong, ... PLoS One 11 (4), e0153514, 2016 | 40 | 2016 |
| Atherogenic index of plasma and the risk of advanced subclinical coronary artery disease beyond traditional risk factors: An observational cohort study KB Won, MH Jang, EJ Park, HB Park, R Heo, D Han, HJ Chang Clinical cardiology 43 (12), 1398-1404, 2020 | 39 | 2020 |
| Radiomics-based precision phenotyping identifies unstable coronary plaques from computed tomography angiography A Lin, M Kolossváry, S Cadet, P McElhinney, M Goeller, D Han, J Yuvaraj, ... Cardiovascular Imaging 15 (5), 859-871, 2022 | 35 | 2022 |
| Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches D Han, KK Kolli, H Gransar, JH Lee, SY Choi, EJ Chun, HW Han, SH Park, ... Journal of cardiovascular computed tomography 14 (2), 168-176, 2020 | 34 | 2020 |
| Association of cardiovascular disease risk factor burden with progression of coronary atherosclerosis assessed by serial coronary computed tomographic angiography D Han, DS Berman, RJH Miller, D Andreini, MJ Budoff, F Cademartiri, ... JAMA network open 3 (7), e2011444-e2011444, 2020 | 32 | 2020 |
| Rationale and design of the CREDENCE trial: computed TomogRaphic evaluation of atherosclerotic DEtermiNants of myocardial IsChEmia A Rizvi, BÓ Hartaigh, P Knaapen, J Leipsic, LJ Shaw, D Andreini, ... BMC cardiovascular disorders 16, 1-10, 2016 | 32 | 2016 |
| Benefit of early revascularization based on inducible ischemia and left ventricular ejection fraction A Rozanski, RJH Miller, H Gransar, D Han, P Slomka, D Dey, SW Hayes, ... Journal of the American College of Cardiology 80 (3), 202-215, 2022 | 31 | 2022 |
Chang Hyuk-JaeYonsei University在 yuhs.ac 的电子邮件经过验证
