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 | 430 | 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 | 394 | 2018 |
Echocardiographic algorithm for post–myocardial infarction LV thrombus: a gatekeeper for thrombus evaluation by delayed enhancement CMR JW Weinsaft, J Kim, CB Medicherla, CL Ma, NCF Codella, N Kukar, ... JACC: Cardiovascular Imaging 9 (5), 505-515, 2016 | 192 | 2016 |
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 | 178 | 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 | 170 | 2018 |
History of 3D printing A Su, SJ Al'Aref 3D printing applications in cardiovascular medicine, 1-10, 2018 | 134 | 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 | 132 | 2021 |
Prognostic value of coronary computed tomographic angiography findings in asymptomatic individuals: a 6-year follow-up from the prospective multicentre international CONFIRM study I Cho, SJ Al’Aref, A Berger, B Ó Hartaigh, H Gransar, V Valenti, FY Lin, ... European heart journal 39 (11), 934-941, 2018 | 120 | 2018 |
Use of mechanical circulatory support in patients undergoing percutaneous coronary intervention: insights from the National Cardiovascular Data Registry A Sandhu, LA McCoy, SI Negi, I Hameed, P Atri, SJ Al’Aref, J Curtis, ... Circulation 132 (13), 1243-1251, 2015 | 116 | 2015 |
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 | 111 | 2020 |
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 | 111 | 2018 |
Effect of sodium-glucose cotransporter 2 inhibitors on cardiovascular and kidney outcomes—systematic review and meta-analysis of randomized placebo-controlled trials HM Salah, SJ Al'Aref, MS Khan, M Al-Hawwas, S Vallurupalli, JL Mehta, ... American heart journal 232, 10-22, 2021 | 100 | 2021 |
Differentiation of papillary muscle from fascicular and mitral annular ventricular arrhythmias in patients with and without structural heart disease SJ Al’Aref, JE Ip, SM Markowitz, CF Liu, G Thomas, D Frenkel, NC Panda, ... Circulation: Arrhythmia and Electrophysiology 8 (3), 616-624, 2015 | 90 | 2015 |
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 | 74 | 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 | 66 | 2020 |
Efficacy and safety of sodium-glucose cotransporter 2 inhibitors initiation in patients with acute heart failure, with and without type 2 diabetes: a systematic review and meta … HM Salah, SJ Al’Aref, MS Khan, M Al-Hawwas, S Vallurupalli, JL Mehta, ... Cardiovascular Diabetology 21 (1), 20, 2022 | 64 | 2022 |
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 |
3D Printing applications in cardiovascular medicine JK Min, B Mosadegh, S Dunham, SJ Al'Aref Academic Press, 2018 | 64 | 2018 |
Clinical and socioeconomic predictors of heart failure readmissions: a review of contemporary literature A Su, SJ Al'Aref, AN Beecy, JK Min, MG Karas Mayo Clinic Proceedings 94 (7), 1304-1320, 2019 | 54 | 2019 |
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 | 50 | 2020 |