| Corridor4DM: the Michigan method for quantitative nuclear cardiology EP Ficaro, BC Lee, JN Kritzman, JR Corbett Journal of nuclear cardiology 14, 455-465, 2007 | 280 | 2007 |
| 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 | 183 | 2020 |
| Quantification of Myocardial Blood Flow in Absolute Terms Using 82Rb PET Imaging: The RUBY-10 Study SV Nesterov, E Deshayes, R Sciagrà, L Settimo, JM Declerck, XB Pan, ... JACC: Cardiovascular Imaging 7 (11), 1119-1127, 2014 | 177 | 2014 |
| Comparison and prognostic validation of multiple methods of quantification of myocardial blood flow with 82Rb PET VL Murthy, BC Lee, A Sitek, M Naya, J Moody, V Polavarapu, EP Ficaro, ... J Nucl Med 55, 1952-1958, 2014 | 91 | 2014 |
| Absolute myocardial flow quantification with 82Rb PET/CT: comparison of different software packages and methods AK Tahari, A Lee, M Rajaram, K Fukushima, MA Lodge, BC Lee, ... European journal of nuclear medicine and molecular imaging 41, 126-135, 2014 | 82 | 2014 |
| 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 | 78 | 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 |
| Characterization of 3-dimensional PET systems for accurate quantification of myocardial blood flow JM Renaud, K Yip, J Guimond, M Trottier, P Pibarot, E Turcotte, C Maguire, ... Journal of Nuclear Medicine 58 (1), 103-109, 2017 | 64 | 2017 |
| Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective JB Moody, BC Lee, JR Corbett, EP Ficaro, VL Murthy Journal of Nuclear Cardiology 22 (5), 935-951, 2015 | 64 | 2015 |
| 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 | 44 | 2020 |
| Blood pool and tissue phase patient motion effects on 82rubidium PET myocardial blood flow quantification BC Lee, JB Moody, A Poitrasson-Rivière, AC Melvin, RL Weinberg, ... Journal of Nuclear Cardiology 26 (6), 1918-1929, 2019 | 41 | 2019 |
| Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning L Baskaran, SJ Al’Aref, G Maliakal, BC Lee, Z Xu, JW Choi, SE Lee, ... PloS one 15 (5), e0232573, 2020 | 39 | 2020 |
| 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 |
| Automated dynamic motion correction using normalized gradient fields for 82 rubidium PET myocardial blood flow quantification BC Lee, JB Moody, A Poitrasson-Rivière, AC Melvin, RL Weinberg, ... Journal of Nuclear Cardiology 27 (6), 1982-1998, 2020 | 32 | 2020 |
| Current and future applications of artificial intelligence in coronary artery disease N Gautam, P Saluja, A Malkawi, MG Rabbat, MH Al-Mallah, G Pontone, ... Healthcare 10 (2), 232, 2022 | 25 | 2022 |
| Review of Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications J Liu, G Singh, S Al'Aref, B Lee, O Oleru, JK Min, S Dunham, MR Sabuncu, ... Advanced Intelligent Systems, 2019 | 24 | 2019 |
| Optimization of temporal sampling for 82rubidium PET myocardial blood flow quantification BC Lee, JB Moody, RL Weinberg, JR Corbett, EP Ficaro, VL Murthy Journal of Nuclear Cardiology 24 (5), 1517-1529, 2017 | 24 | 2017 |
| Variance estimation for myocardial blood flow by dynamic PET JB Moody, VL Murthy, BC Lee, JR Corbett, EP Ficaro IEEE Transactions on Medical Imaging 34 (11), 2343-2353, 2015 | 23 | 2015 |
| Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory … L Baskaran, X Ying, Z Xu, SJ Al’Aref, BC Lee, SE Lee, I Danad, HB Park, ... PLoS One 15 (6), e0233791, 2020 | 21 | 2020 |
| Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing M Pandey, Z Xu, E Sholle, G Maliakal, G Singh, Z Fatima, D Larine, ... PLoS One 15 (7), e0236827, 2020 | 20 | 2020 |
