| 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 | 146 | 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 | 96 | 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 | 92 | 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 | 89 | 2020 |
| Solid-state detector SPECT myocardial perfusion imaging PJ Slomka, RJH Miller, LH Hu, G Germano, DS Berman Journal of Nuclear Medicine 60 (9), 1194-1204, 2019 | 83 | 2019 |
| SPECT myocardial blood flow quantitation toward clinical use: a comparative study with 13N-Ammonia PET myocardial blood flow quantitation B Hsu, LH Hu, BH Yang, LC Chen, YK Chen, CH Ting, GU Hung, ... European journal of nuclear medicine and molecular imaging 44, 117-128, 2017 | 67 | 2017 |
| Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT LH Hu, RJH Miller, T Sharir, F Commandeur, R Rios, AJ Einstein, MB Fish, ... European Heart Journal-Cardiovascular Imaging 22 (6), 705-714, 2021 | 55 | 2021 |
| Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry R Rios, RJH Miller, LH Hu, Y Otaki, A Singh, M Diniz, T Sharir, AJ Einstein, ... Cardiovascular research 118 (9), 2152-2164, 2022 | 40 | 2022 |
| Impact of early revascularization on major adverse cardiovascular events in relation to automatically quantified ischemia PN Azadani, RJH Miller, T Sharir, MA Diniz, LH Hu, Y Otaki, H Gransar, ... Cardiovascular Imaging 14 (3), 644-653, 2021 | 40 | 2021 |
| 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 | 32 | 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 | 30 | 2020 |
| Myocardial ischemic burden and differences in prognosis among patients with and without diabetes: results from the multicenter international REFINE SPECT registry D Han, A Rozanski, H Gransar, T Sharir, AJ Einstein, MB Fish, TD Ruddy, ... Diabetes care 43 (2), 453-459, 2020 | 29 | 2020 |
| 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 | 19 | 2020 |
| Prognostic value of phase analysis for predicting adverse cardiac events beyond conventional single-photon emission computed tomography variables: results from the REFINE SPECT … K Kuronuma, RJH Miller, Y Otaki, SD Van Kriekinge, MA Diniz, T Sharir, ... Circulation: Cardiovascular Imaging 14 (7), e012386, 2021 | 18 | 2021 |
| Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images RJH Miller, A Singh, Y Otaki, BK Tamarappoo, P Kavanagh, T Parekh, ... European journal of nuclear medicine and molecular imaging 50 (2), 387-397, 2023 | 13 | 2023 |
| Hyperprolactinemia-related 131I uptake in nonlactating breasts LH Hu, SJ Wang, RS Liu Clinical nuclear medicine 37 (3), e57-e58, 2012 | 11 | 2012 |
| Diagnostic accuracy of deep learning for myocardial perfusion imaging in men and women with a high-efficiency parallel-hole-collimated cadmium-zinc-telluride camera … Y Otaki, B Tamarappoo, A Singh, T Sharir, LH Hu, H Gransar, A Einstein, ... Journal of Nuclear Medicine 61 (supplement 1), 92-92, 2020 | 9 | 2020 |
| Follow-up Tc-99 m pyrophosphate cardiac scan for patients with transthyretin cardiac amyloidosis treated with tafamidis TH Lee, YF Wang, LH Hu, NJ Peng, CY Chang, WS Huang Japanese Journal of Radiology 41 (8), 882-888, 2023 | 8 | 2023 |
| Waders sign on bone scan: A manifestation of portal hypertension YK Chu, LH Hu Clinical Nuclear Medicine 37 (4), 385-386, 2012 | 5 | 2012 |
| Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT Registry D Han, A Rozanski, H Gransar, E Tzolos, RJH Miller, T Sharir, AJ Einstein, ... Journal of Nuclear Cardiology 29 (6), 3003-3014, 2022 | 4 | 2022 |
Piotr SlomkaProfessor of Medicine and Cardiology, Artificial Intelligence in Medicine, Cedars-SinaiПодтвержден адрес электронной почты в домене cshs.org
