| Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging SJ Al’Aref, K Anchouche, G Singh, PJ Slomka, KK Kolli, A Kumar, ... European heart journal 40 (24), 1975-1986, 2019 | 418 | 2019 |
| 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 | 383 | 2018 |
| Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography … SJ Al’Aref, G Maliakal, G Singh, AR van Rosendael, X Ma, Z Xu, ... European heart journal 41 (3), 359-367, 2020 | 176 | 2020 |
| Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry AR van Rosendael, G Maliakal, KK Kolli, A Beecy, SJ Al’Aref, A Dwivedi, ... Journal of cardiovascular computed tomography 12 (3), 204-209, 2018 | 168 | 2018 |
| Society of Cardiovascular Computed Tomography/North American Society of Cardiovascular Imaging–expert consensus document on coronary CT imaging of atherosclerotic plaque LJ Shaw, R Blankstein, JJ Bax, M Ferencik, MS Bittencourt, JK Min, ... Journal of Cardiovascular Computed Tomography 15 (2), 93-109, 2021 | 126 | 2021 |
| Machine learning in cardiac CT: basic concepts and contemporary data G Singh, SJ Al’Aref, M Van Assen, TS Kim, A van Rosendael, KK Kolli, ... Journal of Cardiovascular Computed Tomography 12 (3), 192-201, 2018 | 109 | 2018 |
| 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 | 107 | 2020 |
| Computed tomography for planning transcatheter tricuspid valve therapy PJ van Rosendael, V Kamperidis, WKF Kong, AR van Rosendael, ... European Heart Journal 38 (9), 665-674, 2017 | 98 | 2017 |
| Superior risk stratification with coronary computed tomography angiography using a comprehensive atherosclerotic risk score AR van Rosendael, LJ Shaw, JX Xie, AC Dimitriu-Leen, JM Smit, ... JACC: Cardiovascular Imaging 12 (10), 1987-1997, 2019 | 95 | 2019 |
| Association of statin treatment with progression of coronary atherosclerotic plaque composition AR Van Rosendael, IJ Van Den Hoogen, U Gianni, X Ma, SW Tantawy, ... JAMA cardiology 6 (11), 1257-1266, 2021 | 84 | 2021 |
| Determinants of in‐hospital mortality after percutaneous coronary intervention: a machine learning approach SJ Al'Aref, G Singh, AR van Rosendael, KK Kolli, X Ma, G Maliakal, ... Journal of the American Heart Association 8 (5), e011160, 2019 | 71 | 2019 |
| 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 | 65 | 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 | 63 | 2020 |
| Stress myocardial perfusion imaging vs coronary computed tomographic angiography for diagnosis of invasive vessel-specific coronary physiology: predictive modeling results from … WJ Stuijfzand, AR Van Rosendael, FY Lin, HJ Chang, IJ Van Den Hoogen, ... JAMA cardiology 5 (12), 1338-1348, 2020 | 58 | 2020 |
| Clinical risk factors and atherosclerotic plaque extent to define risk for major events in patients without obstructive coronary artery disease: the long-term coronary computed … AR Van Rosendael, AM Bax, JM Smit, IJ Van Den Hoogen, X Ma, ... European Heart Journal-Cardiovascular Imaging 21 (5), 479-488, 2020 | 47 | 2020 |
| Impact of clinical characteristics and statins on coronary plaque progression by serial computed tomography angiography JM Smit, AR van Rosendael, M El Mahdiui, D Neglia, J Knuuti, A Saraste, ... Circulation: Cardiovascular Imaging 13 (3), e009750, 2020 | 45 | 2020 |
| Association between posterior left atrial adipose tissue mass and atrial fibrillation AR van Rosendael, AC Dimitriu-Leen, PJ van Rosendael, M Leung, ... Circulation: Arrhythmia and Electrophysiology 10 (2), e004614, 2017 | 41 | 2017 |
| 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 | 40 | 2020 |
| Posterior left atrial adipose tissue attenuation assessed by computed tomography and recurrence of atrial fibrillation after catheter ablation M El Mahdiui, J Simon, JM Smit, JH Kuneman, AR van Rosendael, ... Circulation: Arrhythmia and Electrophysiology 14 (4), e009135, 2021 | 37 | 2021 |
| Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation G Singh, Y Hussain, Z Xu, E Sholle, K Michalak, K Dolan, BC Lee, ... PLoS One 15 (9), e0239934, 2020 | 37 | 2020 |
