| AI-derived multi-structure analysis from cardiac SPECT/CT attenuation maps improves mortality prediction from myocardial perfusion imaging A Michalowska, W Zhang, A Shanbhag, R Miller, B Mikolaj, B Bednarski, ... Journal of Nuclear Medicine 65 (supplement 2), 242168-242168, 2024 | | 2024 |
| Predicting left atrial appendage thrombus in patients with persistent atrial fibrillation or flutter and no oral anticoagulation using machine-learning models K Pieszko, B Makowski, M Bansal, J Hiczkiewicz, K Lojewska, B Musielak, ... Europace 26 (Supplement_1), euae102. 575, 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 | 1 | 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 |
| 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 | 3 | 2024 |
| 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 | 1 | 2024 |
| Artificial intelligence in detecting left atrial appendage thrombus by transthoracic echocardiography and clinical features: the Left Atrial Thrombus on Transoesophageal … K Pieszko, J Hiczkiewicz, K Łojewska, B Uziębło-Życzkowska, ... European Heart Journal 45 (1), 32-41, 2024 | 10 | 2024 |
| Machine learning for prediction of all-cause mortality after transcatheter aortic valve implantation J Kwiecinski, M Dabrowski, L Nombela-Franco, K Grodecki, K Pieszko, ... European Heart Journal-Quality of Care and Clinical Outcomes 9 (8), 768-777, 2023 | 6 | 2023 |
| Preprocedural computed tomography angiography for prediction of transcatheter aortic valve implantation outcomes. A machine learning study J Kwiecinski, K Grodecki, K Pieszko, M Dabrowski, Z Chmielak, P Slomka, ... European Heart Journal 44 (Supplement_2), ehad655. 133, 2023 | | 2023 |
| Cognitive Impairment in Cardiovascular Patients after Myocardial Infarction: Prospective Clinical Study D Kasprzak, K Kaczmarek-Majer, J Rzeźniczak, K Klamecka-Pohl, ... Journal of Clinical Medicine 12 (15), 4954, 2023 | 1 | 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 |
| 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 | 6 | 2023 |
| Attenuation Correction with Deep Learning-Based Synthetic SPECT Imaging Outperforms Synthetic Polar Maps AD Shanbhag, R Miller, K Pieszko, M Lemley, A Feher, P Kavanagh, ... Journal of Nuclear Medicine 64 (supplement 1), P762-P762, 2023 | | 2023 |
| A randomized study comparing closed-incision negative-pressure wound therapy with standard care in immediate breast reconstruction K Pieszko, K Pieszko, M Wichtowski, S Cieśla, A Ławnicka, R Jamont, ... Plastic and Reconstructive Surgery 151 (6), 1123-1133, 2023 | 4 | 2023 |
| The comparative method based on coronary computed tomography angiography for assessing the hemodynamic significance of coronary artery stenosis Z Małota, W Sadowski, K Pieszko, R Zimoląg, F Czekała, R Malinowska, ... Cardiovascular Engineering and Technology 14 (3), 364-379, 2023 | 4 | 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 | 4 | 2023 |
| 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, ... Cardiovascular Imaging 16 (5), 675-687, 2023 | 24 | 2023 |
| 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 |
| Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and … N Manral, A Lin, C Park, P McElhinney, A Killekar, M Hidenari, ... Medical Imaging 2023: Image Processing 12464, 239-245, 2023 | | 2023 |
| 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 30 (2), 860-863, 2023 | | 2023 |
