| Tolvaptan for heart failure, systematic review and meta-analysis of trials E Alskaf, A Tridente, A Al-Mohammad Journal of cardiovascular pharmacology 68 (3), 196-203, 2016 | 29 | 2016 |
| Left atrial ejection fraction estimation using SEGANet for fully automated segmentation of CINE MRI A Lourenço, E Kerfoot, C Dibblin, E Alskaf, M Anjari, AA Bharath, AP King, ... Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 15 | 2021 |
| Mesalazine-induced lung fibrosis E Alskaf, A Aljoudeh, F Edenborough Case Reports 2013, bcr2013008724, 2013 | 15 | 2013 |
| Brief research report: quantitative analysis of potential coronary microvascular disease in suspected long-COVID syndrome P Doeblin, F Steinbeis, CM Scannell, C Goetze, S Al-Tabatabaee, J Erley, ... Frontiers in Cardiovascular Medicine 9, 877416, 2022 | 14 | 2022 |
| The mystery of defining aortic valve area: what have we learnt from three-dimensional imaging modalities? E Alskaf, A Kardos Journal of Echocardiography 16, 130-138, 2018 | 14 | 2018 |
| Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis E Alskaf, U Dutta, CM Scannell, A Chiribiri Informatics in Medicine Unlocked 32, 101055, 2022 | 12 | 2022 |
| AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance CM Scannell, E Alskaf, N Sharrack, R Razavi, S Ourselin, AA Young, ... European Heart Journal-Digital Health 4 (1), 12-21, 2023 | 11 | 2023 |
| Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI E Martín-González, E Alskaf, A Chiribiri, P Casaseca-de-la-Higuera, ... International workshop on machine learning for medical image reconstruction …, 2021 | 8 | 2021 |
| High-resolution free-breathing quantitative first-pass perfusion cardiac MR using dual-echo Dixon with spatio-temporal acceleration J Tourais, CM Scannell, T Schneider, E Alskaf, R Crawley, F Bosio, ... Frontiers in Cardiovascular Medicine 9, 884221, 2022 | 7 | 2022 |
| Deep learning applications in coronary anatomy imaging: a systematic review and meta-analysis E Alskaf, U Dutta, CM Scannell, A Chiribiri Journal of medical artificial intelligence 5, 11, 2022 | 5 | 2022 |
| High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery … R Crawley, KP Kunze, X Milidonis, J Highton, S McElroy, SM Frey, ... European Heart Journal-Cardiovascular Imaging 25 (7), 914-925, 2024 | 4 | 2024 |
| Machine learning outcome prediction using stress perfusion cardiac magnetic resonance reports and natural language processing of electronic health records E Alskaf, SM Frey, CM Scannell, A Suinesiaputra, D Vilic, V Dinu, ... Informatics in medicine unlocked 44, 101418, 2024 | 4 | 2024 |
| High-resolution quantification of stress perfusion defects by cardiac magnetic resonance CM Scannell, R Crawley, E Alskaf, M Breeuwer, S Plein, A Chiribiri European Heart Journal-Imaging Methods and Practice 2 (1), qyae001, 2024 | 2 | 2024 |
| 29 AI-AIF: artificial intelligence-based arterial input function correction for quantitative stress perfusion cardiac magnetic resonance CM Scannell, E Alskaf, N Sharrack, S Plein, A Chribri Heart 108 (Suppl 3), A25-A26, 2022 | 2 | 2022 |
| Implementation of a CT-derived correction factor to refine the measurement of aortic valve area and stroke volume using Doppler echocardiography improves grading of severity … A Kardos, D Rusinaru, S Maréchaux, E Alskaf, B Prendergast, ... International Journal of Cardiology 363, 129-137, 2022 | 2 | 2022 |
| The impact of dark-blood versus conventional bright-blood late gadolinium enhancement on the myocardial ischemic burden R Franks, RJ Holtackers, E Alskaf, MS Nazir, B Clapp, JE Wildberger, ... European Journal of Radiology 144, 109947, 2021 | 2 | 2021 |
| Aortic valve area using computed tomography‐derived correction factor to improve the validity of left ventricular outflow tract measurements E Alskaf, T Gupta, A Kardos Echocardiography 37 (2), 196-206, 2020 | 2 | 2020 |
| Clinical Significance of Myocardial Injury in Patients Hospitalized for COVID-19: A Prospective, Multicenter, Cohort Study H Shiwani, J Artico, JC Moon, M Gorecka, GP McCann, G Roditi, ... Cardiovascular Imaging 17 (11), 1320-1331, 2024 | 1 | 2024 |
| Hybrid Artificial Intelligence Outcome Prediction Using Feature Extraction from Stress Perfusion Cardiac Magnetic Resonance Images and Electronic Health Records E Alskaf, A Suinesiaputra, CM Scannell, R Razavi, S Ourselin, A Young, ... European Heart Journal 44 (Supplement_2), ehad655. 2934, 2023 | 1 | 2023 |
| Scar characterisation to predict arrhythmia and death in ischaemic cardiomyopathy: insights from the REVIVED trial H Morgan, A Chiribiri, S Nazir, PG Masci, M Ryan, J Mancio, E Alskaf, ... European Heart Journal 44 (Supplement_2), ehad655. 822, 2023 | 1 | 2023 |
