| On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic BP Bednarski, AD Singh, WM Jones Journal of the American Medical Informatics Association 28 (4), 874-878, 2021 | 24 | 2021 |
| Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction BP Bednarski, AD Singh, W Zhang, WM Jones, A Naeim, R Ramezani Scientific Reports 12 (1), 21247, 2022 | 8 | 2022 |
| Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging MC Williams, BP Bednarski, K Pieszko, RJH Miller, J Kwiecinski, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (9), 2656-2668, 2023 | 4 | 2023 |
| Artificial Intelligence Model Predicts Sudden Cardiac Arrest Manifesting With Pulseless Electric Activity Versus Ventricular Fibrillation L Holmstrom, B Bednarski, H Chugh, H Aziz, HN Pham, A Sargsyan, ... Circulation: Arrhythmia and Electrophysiology 17 (2), e012338, 2024 | 3 | 2024 |
| AI-defined cardiac anatomy improves risk stratification of hybrid perfusion imaging RJH Miller, A Shanbhag, A Killekar, M Lemley, B Bednarski, ... JACC: Cardiovascular Imaging, 2024 | 2 | 2024 |
| Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study RJH Miller, BP Bednarski, K Pieszko, J Kwiecinski, MC Williams, ... EBioMedicine 99, 2024 | 2 | 2024 |
| AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging RJH Miller, A Shanbhag, A Killekar, M Lemley, B Bednarski, ... NPJ Digital Medicine 7 (1), 24, 2024 | 1 | 2024 |
| Unsupervised machine learning improves risk stratification of patients with visual normal SPECT myocardial perfusion imaging assessments B Bednarski, MC Williams, K Pieszko, RJH Miller, C Huang, J Kwiecinski, ... European Heart Journal 43 (Supplement_2), ehac544. 300, 2022 | 1 | 2022 |
| LACK OF HEMODYNAMIC RESPONSE TO VASODILATOR STRESS IS ASSOCIATED WITH CARDIOVASCULAR EVENTS J Liang, RJH Miller, B Bednarski, M Lemley, AD Shanbhag, T Sharir, ... Journal of the American College of Cardiology 83 (13_Supplement), 1393-1393, 2024 | | 2024 |
| ARTIFICIAL INTELLIGENCE-ENABLED IDENTIFICATION OF PROXIMAL CORONARY ARTERY CALCIUM PREDICTS RISK IN ASYMPTOMATIC SUBJECTS WITH MILD CORONARY ATHEROSCLEROSIS J Zhou, AD Shanbhag, D Han, B Bednarski, D Dey, DS Berman, P Slomka Journal of the American College of Cardiology 83 (13_Supplement), 4608-4608, 2024 | | 2024 |
| Deep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging A Shanbhag, RJH Miller, A Killekar, M Lemley, B Bednarski, ... Medical Imaging 2024: Clinical and Biomedical Imaging 12930, 63-68, 2024 | | 2024 |
| Predicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography RJH Miller, A Killekar, A Shanbhag, B Bednarski, AM Michalowska, ... Nature Communications 15 (1), 2747, 2024 | | 2024 |
| Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging A Feher, B Bednarski, RJ Miller, A Shanbhag, M Lemley, L Miras, ... Journal of Nuclear Medicine, 2024 | | 2024 |
| CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients A Feher, K Pieszko, A Shanbhag, M Lemley, B Bednarski, RJH Miller, ... European Journal of Nuclear Medicine and Molecular Imaging 51 (3), 695-706, 2024 | | 2024 |
| Machine Learning For Predicting Long-Term Major Adverse Cardiovascular Events Based On Clinical Risk Factors And Coronary Artery Calcium Imaging Metrics: Results From The … G Hong, B Bednarski, D Han, A Shanbhag, J Zhou, H Gransar, R Miller, ... Journal of Cardiovascular Computed Tomography 17 (4), S54, 2023 | | 2023 |
| Vessel Distribution Of Coronary Artery Calcium From Gated CT And Low-dose Ungated CT Imaging Does Not Improve The Prediction Of MACE In Patients Referred For SPECT J Zhou, A Shanbhag, B Bednarski, C Huang, R Miller, D Han, K Pieszko, ... Journal of Cardiovascular Computed Tomography 17 (4), S47-S48, 2023 | | 2023 |
| Machine Learning Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing SPECT/CT Myocardial Perfusion Imaging A Feher, B Bednarski, R Miller, A Shanbhag, M Lemley, L Miras, ... Journal of Nuclear Medicine 64 (supplement 1), P1520-P1520, 2023 | | 2023 |
| Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction B Bednarski, AD Shanbhag, AD Singh, RJH Miller, H Gransar, ... Medical Imaging 2023: Image Processing 12464, 90-97, 2023 | | 2023 |
| Unsupervised Machine Learning Improves Risk Stratification of Myocardial Perfusion SPECT Patients with Known Coronary Artery Disease B Bednarski, K Pieszko, M Williams, R Miller, J Kwiecinski, A Shanbhag, ... Journal of Nuclear Medicine 63 (supplement 2), 2261-2261, 2022 | | 2022 |
| USING ARTIFICIAL INTELLIGENCE TO EVALUATE ADDED VALUE OF CORONARY ARTERY CALCIUM SCORING FROM STANDARD AND LOW-DOSE UNGATED CT IN MYOCARDIAL PERFUSION PET/CT IMAGING MORTALITY … B Bednarski, K Pieszko, A Shanbhag, A Singh, J Kwiecinski, RJH Miller, ... Journal of the American College of Cardiology 79 (9_Supplement), 1194-1194, 2022 | | 2022 |
Akash Deep SinghUniversity of California, Los Angeles (UCLA)Adresă de e-mail confirmată pe ucla.edu
