| Deep learning for prediction of obstructive disease from fast myocardial perfusion SPECT: a multicenter study J Betancur, F Commandeur, M Motlagh, T Sharir, AJ Einstein, S Bokhari, ... JACC: Cardiovascular Imaging 11 (11), 1654-1663, 2018 | 326 | 2018 |
| Prognostic value of combined clinical and myocardial perfusion imaging data using machine learning J Betancur, Y Otaki, M Motwani, MB Fish, M Lemley, D Dey, H Gransar, ... JACC: Cardiovascular Imaging 11 (7), 1000-1009, 2018 | 211 | 2018 |
| Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets IEEE Transactions on Medical Imaging, 1-1, 2015 | 205* | 2015 |
| Deep learning for quantification of epicardial and thoracic adipose tissue from non-contrast CT F Commandeur, M Goeller, J Betancur, S Cadet, M Doris, X Chen, ... IEEE transactions on medical imaging 37 (8), 1835-1846, 2018 | 188 | 2018 |
| Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study D Dey, S Gaur, KA Ovrehus, PJ Slomka, J Betancur, M Goeller, MM Hell, ... European radiology 28, 2655-2664, 2018 | 178 | 2018 |
| Deep learning analysis of upright-supine high-efficiency SPECT myocardial perfusion imaging for prediction of obstructive coronary artery disease: a multicenter study J Betancur, LH Hu, F Commandeur, T Sharir, AJ Einstein, MB Fish, ... Journal of Nuclear Medicine 60 (5), 664-670, 2019 | 137 | 2019 |
| Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT) PJ Slomka, J Betancur, JX Liang, Y Otaki, LH Hu, T Sharir, S Dorbala, ... Journal of Nuclear Cardiology 27 (3), 1010-1021, 2020 | 88 | 2020 |
| Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry LH Hu, J Betancur, T Sharir, AJ Einstein, S Bokhari, MB Fish, TD Ruddy, ... European Heart Journal-Cardiovascular Imaging 21 (5), 549-559, 2020 | 85 | 2020 |
| 5-year prognostic value of quantitative versus visual MPI in subtle perfusion defects: results from REFINE SPECT Y Otaki, J Betancur, T Sharir, LH Hu, H Gransar, JX Liang, PN Azadani, ... Cardiovascular Imaging 13 (3), 774-785, 2020 | 82 | 2020 |
| Machine learning adds to clinical and CAC assessments in predicting 10-year CHD and CVD deaths R Nakanishi, PJ Slomka, R Rios, J Betancur, MJ Blaha, K Nasir, ... Cardiovascular Imaging 14 (3), 615-625, 2021 | 68 | 2021 |
| Automatic valve plane localization in myocardial perfusion SPECT/CT by machine learning: anatomic and clinical validation J Betancur, M Rubeaux, TA Fuchs, Y Otaki, Y Arnson, L Slipczuk, ... Journal of Nuclear Medicine 58 (6), 961-967, 2017 | 67 | 2017 |
| Machine learning in predicting coronary heart disease and cardiovascular disease events: results from the multi-ethnic study of atherosclerosis (mesa) R Nakanishi, D Dey, F Commandeur, P Slomka, J Betancur, H Gransar, ... Journal of the American College of Cardiology 71 (11S), A1483-A1483, 2018 | 29 | 2018 |
| Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT E Eisenberg, RJH Miller, LH Hu, R Rios, J Betancur, P Azadani, D Han, ... Journal of Nuclear Cardiology 29 (5), 2295-2307, 2022 | 28 | 2022 |
| Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry RJH Miller, LH Hu, H Gransar, J Betancur, E Eisenberg, Y Otaki, T Sharir, ... European Heart Journal-Cardiovascular Imaging 21 (5), 567-575, 2020 | 26 | 2020 |
| Segmentación de frutos de café mediante métodos de crecimiento de regiones JA Betancur Acevedo, FA Prieto Ortiz, GA Osorio Londoño Revista Facultad Nacional de Agronomía Medellín 59 (1), 3311-3333, 2006 | 23 | 2006 |
| Digital image processing for classification of coffee cherries Z Sandoval, F Prieto, J Betancur 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, 417-421, 2010 | 22 | 2010 |
| Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: a report from REFINE SPECT registry LH Hu, T Sharir, RJH Miller, AJ Einstein, MB Fish, TD Ruddy, S Dorbala, ... Journal of Nuclear Cardiology 27 (4), 1180-1189, 2020 | 17 | 2020 |
| Multi-atlas-based segmentation of the left atrium and pulmonary veins Z Sandoval, J Betancur, JL Dillenseger Statistical Atlases and Computational Models of the Heart. Imaging and …, 2014 | 13 | 2014 |
| Synchronization and Registration of cine Magnetic Resonance and dynamic Computed Tomography images of the Heart M Betancur, J. and Simon, A. and Langella, B. and Leclercq, C. and Hernandez ... Biomedical and Health Informatics, IEEE Journal of 99 (99), 1-1, 2015 | 10* | 2015 |
| Active contour-based segmentation of coffee cherries images J Betancur, F Prieto 2008 9th International Conference on Signal Processing, 2738-2741, 2008 | 10 | 2008 |
Piotr SlomkaProfessor of Medicine and Cardiology, Artificial Intelligence in Medicine, Cedars-Sinai在 cshs.org 的电子邮件经过验证
