| 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, 2018 | 416 | 2018 |
| 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, 2018 | 169 | 2018 |
| 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, 2018 | 107 | 2018 |
| 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 | 70 | 2019 |
| 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 | 62 | 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 | 60 | 2016 |
| Relationship Between Endothelial Wall Shear Stress and High-risk Atherosclerotic Plaque Characteristic for Identification of Coronary Lesions That Cause Ischemia Ischemia: A … D Han, A Starikov, G Xiong, B ó Hartaigh, H Gransar, KK Kolli, JH Lee, ... Circulation 134 (Suppl 1), A15743-A15743, 2016 | 60 | 2016 |
| Influence of heart rate on fractional flow reserve, pressure drop coefficient, and lesion flow coefficient for epicardial coronary stenosis in a porcine model KK Kolli, RK Banerjee, SV Peelukhana, TA Helmy, MA Leesar, I Arif, ... American Journal of Physiology-Heart and Circulatory Physiology 300 (1 …, 2011 | 45 | 2011 |
| 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, 2019 | 34 | 2019 |
| Functional diagnosis of coronary stenoses using pressure drop coefficient: a pilot study in humans KK Kolli, TA Helmy, SV Peelukhana, I Arif, MA Leesar, LH Back, ... Catheterization and Cardiovascular Interventions 83 (3), 377-385, 2014 | 27 | 2014 |
| Effect of Varying Hemodynamic and Vascular Conditions on Fractional Flow Reserve: An In Vitro Study KK Kolli, JK Min, S Ha, H Soohoo, G Xiong Journal of the American Heart Association 5 (7), e003634, 2016 | 24 | 2016 |
| Effect of heart rate on hemodynamic endpoints under concomitant microvascular disease in a porcine model SV Peelukhana, RK Banerjee, KK Kolli, MA Effat, TA Helmy, MA Leesar, ... American Journal of Physiology-Heart and Circulatory Physiology 302 (8 …, 2012 | 23 | 2012 |
| Effect of guidewire on contribution of loss due to momentum change and viscous loss to the translesional pressure drop across coronary artery stenosis: an analytical approach E Rajabi-Jaghargh, KK Kolli, LH Back, RK Banerjee Biomed Eng Online 10, 51, 2011 | 23 | 2011 |
| Effect of myocardial contractility on hemodynamic end points under concomitant microvascular disease in a porcine model SV Peelukhana, KK Kolli, MA Leesar, MA Effat, TA Helmy, I Arif, ... Heart and vessels 29 (1), 97-109, 2014 | 19 | 2014 |
| A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography AN Beecy, Q Chang, K Anchouche, L Baskaran, K Elmore, K Kolli, ... JACC: Cardiovascular Imaging, 2018 | 18 | 2018 |
| Effect of changes in contractility on pressure drop coefficient and fractional flow reserve in a porcine model KK Kolli, RK Banerjee, SV Peelukhana, MA Effat, MA Leesar, I Arif, ... Journal of Invasive Cardiology 24 (1), 6, 2012 | 18 | 2012 |
| Diagnostic cutoff for pressure drop coefficient in relation to fractional flow reserve and coronary flow reserve: A Patient‐Level Analysis KK Kolli, TP van de Hoef, MA Effat, RK Banerjee, SV Peelukhana, ... Catheterization and Cardiovascular Interventions 87 (2), 273-282, 2016 | 16 | 2016 |
| Lesion flow coefficient: a combined anatomical and functional parameter for detection of coronary artery disease--a clinical study. SV Peelukhana, M Effat, KK Kolli, I Arif, T Helmy, M Leesar, H Kerr, ... The Journal of invasive cardiology 27 (1), 54-64, 2015 | 13 | 2015 |
| Toward Development of Inflatable Stents with Application in Endovascular Treatments AA Amiri Moghadam, S Alaie, S Gharaie, SD Nath, S Vawda, SJ Al'Aref, ... Advanced Functional Materials, 1804147, 2018 | 12 | 2018 |
| Benefit of cardiac N-13 PET CFR for combined anatomical and functional diagnosis of ischemic coronary artery disease: a pilot study SV Peelukhana, H Kerr, KK Kolli, M Fernandez-Ulloa, M Gerson, M Effat, ... Annals of nuclear medicine 28 (8), 746-760, 2014 | 12 | 2014 |
