| Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study The Lancet Digital Health 4 (4), e256-e265, 2022 | 142 | 2022 |
| Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events K Pieszko, A Shanbhag, A Killekar, RJH Miller, M Lemley, Y Otaki, ... JACC: Cardiovascular Imaging, 2022 | 30 | 2022 |
| Deep learning coronary artery calcium scores from SPECT/CT attenuation maps improve prediction of major adverse cardiac events RJH Miller, K Pieszko, A Shanbhag, A Feher, M Lemley, A Killekar, ... Journal of Nuclear Medicine 64 (4), 652-658, 2023 | 26 | 2023 |
| Deep learning–based attenuation correction improves diagnostic accuracy of cardiac SPECT AD Shanbhag, RJH Miller, K Pieszko, M Lemley, P Kavanagh, A Feher, ... Journal of Nuclear Medicine 64 (3), 472-478, 2023 | 23 | 2023 |
| Reproducibility of quantitative coronary calcium scoring from PET/CT attenuation maps: comparison to ECG-gated CT scans K Pieszko, AD Shanbhag, M Lemley, M Hyun, SV Kriekinge, Y Otaki, ... European Journal of Nuclear Medicine and Molecular Imaging, 2022 | 15 | 2022 |
| ARnold: A mixed reality short film using microsoft hololens C Chinara, G Feingold, A Shanbhag, K Weiniger SMPTE 2017 Annual Technical Conference and Exhibition, 1-12, 2017 | 12 | 2017 |
| Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT … A Feher, K Pieszko, R Miller, M Lemley, A Shanbhag, C Huang, L Miras, ... Journal of Nuclear Cardiology, 2022 | 11 | 2022 |
| 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 | 8 | 2024 |
| Explainable, Multi-Region Price Prediction A Ghatnekar, AD Shanbhag 2021 International Conference on Electrical, Computer and Energy …, 2021 | 8 | 2021 |
| 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 | 7 | 2023 |
| Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging K Pieszko, AD Shanbhag, A Singh, MT Hauser, RJH Miller, JX Liang, ... npj Digital Medicine 6 (1), 78, 2023 | 7 | 2023 |
| Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks K Pieszko, A Shanbhag, A Killekar, M Lemley, Y Otaki, SV Kriekinge, ... Medical Imaging 2022: Image Processing 12032 (10.1117/12.2613147), 865 -- 871, 2022 | 7 | 2022 |
| Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: An international multicentre study., 2022, 4, pp. e256-e265 A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ... DOI: https://doi. org/10.1016/S2589-7500 (22), 0 | 7 | |
| Deep Learning From Coronary Computed Tomography Angiography for Atherosclerotic Plaque and Stenosis Quantification and Cardiac Risk Prediction A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ... | 6 | 2021 |
| 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 | 4 | 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 | 4 | 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 | 4 | 2024 |
| Exploring ML for Predictive Maintenance Using Imbalance Correction techniques and SHAP K Patel, A Shanbhag 2022 International Conference on Electrical, Computer and Energy …, 2022 | 4 | 2022 |
| Comparison of the prognostic value between quantification and visual estimation of coronary calcification from attenuation CT in patients undergoing SPECT myocardial perfusion … A Feher, K Pieszko, A Shanbhag, M Lemley, RJH Miller, C Huang, L Miras, ... The International Journal of Cardiovascular Imaging 40 (1), 185-193, 2024 | 3 | 2024 |
| Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT AD Shanbhag, K Pieszko, RJH Miller, A Killekar, W Parker, H Gransar, ... Medical Imaging 2023: Image Processing 12464, 89-92, 2023 | 3 | 2023 |
Piotr SlomkaProfessor of Medicine and Cardiology, Artificial Intelligence in Medicine, Cedars-Sinai在 cshs.org 的电子邮件经过验证
