| Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective … F Commandeur, PJ Slomka, M Goeller, X Chen, S Cadet, A Razipour, ... Cardiovascular research 116 (14), 2216-2225, 2020 | 107 | 2020 |
| Deep Learning–Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects E Eisenberg, PA McElhinney, F Commandeur, X Chen, S Cadet, ... Circulation: Cardiovascular Imaging 13 (2), e009829, 2020 | 100 | 2020 |
| Development and evaluation of a novel fast broad-range 16S ribosomal DNA PCR and sequencing assay for diagnosis of bacterial infective endocarditis: multi-year experience in a … RJH Miller, B Chow, D Pillai, D Church BMC infectious diseases 16, 1-10, 2016 | 70 | 2016 |
| Clinical deployment of explainable artificial intelligence of SPECT for diagnosis of coronary artery disease Y Otaki, A Singh, P Kavanagh, RJH Miller, T Parekh, BK Tamarappoo, ... Cardiovascular Imaging 15 (6), 1091-1102, 2022 | 67 | 2022 |
| 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 | 67 | 2019 |
| 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 | 47 | 2021 |
| Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study BK Tamarappoo, A Lin, F Commandeur, PA McElhinney, S Cadet, ... Atherosclerosis 318, 76-82, 2021 | 46 | 2021 |
| Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study A Lin, ND Wong, A Razipour, PA McElhinney, F Commandeur, SJ Cadet, ... Cardiovascular diabetology 20, 1-11, 2021 | 43 | 2021 |
| Baseline functional class and therapeutic efficacy of common heart failure interventions: a systematic review and meta-analysis RJH Miller, JG Howlett, DV Exner, PM Campbell, ADM Grant, SB Wilton Canadian Journal of Cardiology 31 (6), 792-799, 2015 | 41 | 2015 |
| Risk evaluation using gene expression screening to monitor for acute cellular rejection in heart transplant recipients Y Moayedi, F Foroutan, RJH Miller, CPS Fan, JGD Posada, M Alhussein, ... The Journal of Heart and Lung Transplantation 38 (1), 51-58, 2019 | 37 | 2019 |
| Quantification of myocardial blood flow by CZT-SPECT with motion correction and comparison with 15O-water PET Y Otaki, O Manabe, RJH Miller, A Manrique, C Nganoa, N Roth, ... Journal of Nuclear Cardiology 28 (4), 1477-1486, 2021 | 36 | 2021 |
| A novel approach to medical management of heart failure with reduced ejection fraction RJH Miller, JG Howlett, NM Fine Canadian Journal of Cardiology 37 (4), 632-643, 2021 | 34 | 2021 |
| Percutaneous or surgical revascularization is associated with survival benefit in stable coronary artery disease RJH Miller, RO Bonow, H Gransar, R Park, PJ Slomka, JD Friedman, ... European Heart Journal-Cardiovascular Imaging 21 (9), 961-970, 2020 | 34 | 2020 |
| Comparative Prognostic and Diagnostic Value of Myocardial Blood Flow and Myocardial Flow Reserve After Cardiac Transplantation RJH Miller, O Manabe, B Tamarappoo, S Hayes, JD Friedman, PJ Slomka, ... Journal of Nuclear Medicine 61 (2), 249-255, 2020 | 34 | 2020 |
| LV mass independently predicts mortality and need for future revascularization in patients undergoing diagnostic coronary angiography A Abdi-Ali, RJH Miller, D Southern, M Zhang, Y Mikami, M Knudtson, ... JACC: Cardiovascular Imaging 11 (3), 423-433, 2018 | 34 | 2018 |
| Visually estimated coronary artery calcium score improves SPECT-MPI risk stratification C Trpkov, A Savtchenko, Z Liang, P Feng, DA Southern, SB Wilton, ... IJC Heart & Vasculature 35, 100827, 2021 | 33 | 2021 |
| 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 | 33 | 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 | 32 | 2022 |
| Benefit of early revascularization based on inducible ischemia and left ventricular ejection fraction A Rozanski, RJH Miller, H Gransar, D Han, P Slomka, D Dey, SW Hayes, ... Journal of the American College of Cardiology 80 (3), 202-215, 2022 | 32 | 2022 |
| Association of Cardiovascular Disease Risk Factor Burden With Progression of Coronary Atherosclerosis Assessed by Serial Coronary Computed Tomographic Angiography D Han, DS Berman, RJH Miller, D Andreini, MJ Budoff, F Cademartiri, ... JAMA Network Open 3 (7), e2011444-e2011444, 2020 | 31 | 2020 |
Piotr SlomkaProfessor of Medicine and Cardiology, Artificial Intelligence in Medicine, Cedars-SinaiBestätigte E-Mail-Adresse bei cshs.org
