| The role of hematological indices in patients with acute coronary syndrome J Budzianowski, K Pieszko, P Burchardt, J Rzeźniczak, J Hiczkiewicz Disease Markers 2017 (1), 3041565, 2017 | 214 | 2017 |
| Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ... The Lancet Digital Health 4 (4), e256-e265, 2022 | 181 | 2022 |
| Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms J Budzianowski, J Hiczkiewicz, P Burchardt, K Pieszko, J Rzeźniczak, ... Heart and vessels 34, 352-359, 2019 | 52 | 2019 |
| Predicting long‐term mortality after acute coronary syndrome using machine learning techniques and hematological markers K Pieszko, J Hiczkiewicz, P Budzianowski, J Budzianowski, J Rzeźniczak, ... Disease markers 2019 (1), 9056402, 2019 | 47 | 2019 |
| 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 | 42 | 2023 |
| 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 | 34 | 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 | 33 | 2023 |
| Inflammatory signatures are associated with increased mortality after transfemoral transcatheter aortic valve implantation J Hoffmann, S Mas‐Peiro, A Berkowitsch, F Boeckling, T Rasper, ... ESC heart failure 7 (5), 2597-2610, 2020 | 30 | 2020 |
| Relationship between ischaemia, coronary artery calcium scores, and major adverse cardiovascular events RJH Miller, D Han, A Singh, K Pieszko, PJ Slomka, H Gransar, R Park, ... European Heart Journal-Cardiovascular Imaging 23 (11), 1423-1433, 2022 | 27 | 2022 |
| Deep learning for explainable estimation of mortality risk from myocardial positron emission tomography images A Singh, J Kwiecinski, RJH Miller, Y Otaki, PB Kavanagh, ... Circulation: Cardiovascular Imaging 15 (9), e014526, 2022 | 26 | 2022 |
| Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes K Pieszko, J Hiczkiewicz, P Budzianowski, J Rzeźniczak, J Budzianowski, ... Journal of Translational Medicine 16, 1-12, 2018 | 26 | 2018 |
| Premorbid hemostasis in women with a history of pregnancy loss AD Peshkova, SI Safiullina, NG Evtugina, YS Baras, FI Ataullakhanov, ... Thrombosis and Haemostasis 119 (12), 1994-2004, 2019 | 23 | 2019 |
| 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, S Van Kriekinge, Y Otaki, ... European journal of nuclear medicine and molecular imaging 49 (12), 4122-4132, 2022 | 18 | 2022 |
| Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification A Lin, K Pieszko, C Park, K Ignor, MC Williams, P Slomka, D Dey BJR open 5 (1), 20220021, 2023 | 17 | 2023 |
| 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 | 16 | 2024 |
| 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 | 16 | 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), 590-603, 2023 | 15 | 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 | 12 | 2023 |
| Clinical applications of artificial intelligence in cardiology on the verge of the decade K Pieszko, J Hiczkiewicz, J Budzianowski, B Musielak, D Hiczkiewicz, ... Cardiology Journal 28 (3), 460-472, 2021 | 12 | 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 | 10 | 2024 |
