| The role of hematological indices in patients with acute coronary syndrome J Budzianowski, K Pieszko, P Burchardt, J Rzeźniczak, J Hiczkiewicz Disease Markers 2017, 2017 | 193 | 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 | 104 | 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 | 46 | 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, 2019 | 45 | 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 | 25 | 2023 |
| 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 | 24 | 2019 |
| 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 | 22 | 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 | 22 | 2020 |
| 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 | 22 | 2018 |
| 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 | 21 | 2023 |
| 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 | 19 | 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 | 19 | 2022 |
| 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 | 13 | 2022 |
| 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 | 10 | 2021 |
| 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 | 8 | 2024 |
| 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 | 8* | 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, S Van Kriekinge, ... Medical Imaging 2022: Image Processing 12032, 865-871, 2022 | 7 | 2022 |
| Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study. Lancet Digit Health. 2022 … A Lin, N Manral, P McElhinney, A Killekar, H Matsumoto, J Kwiecinski, ... DOI: https://doi. org/10.1016/S2589-7500 (22), 0 | 6 | |
| 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 | 5 | 2023 |
| 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, ... | 5 | 2022 |
