| Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams Y Shen, FE Shamout, JR Oliver, J Witowski, K Kannan, J Park, N Wu, ... Nature communications 12 (1), 5645, 2021 | 163 | 2021 |
| Machine Learning for Clinical Outcome Prediction FE Shamout, T Zhu, DA Clifton IEEE Reviews in Biomedical Engineering, 2020 | 142 | 2020 |
| An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ... NPJ digital medicine 4 (1), 80, 2021 | 138 | 2021 |
| Deep Interpretable Early Warning System for the Detection of Clinical Deterioration FE Shamout, T Zhu, P Sharma, PJ Watkinson, DA Clifton IEEE Journal of Biomedical and Health Informatics 24 (2), 437-446, 2020 | 76 | 2020 |
| Covid-19 prognosis via self-supervised representation learning and multi-image prediction A Sriram, M Muckley, K Sinha, F Shamout, J Pineau, KJ Geras, L Azour, ... arXiv preprint arXiv:2101.04909, 2021 | 70 | 2021 |
| DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis Y Yang, TM Walker, AS Walker, DJ Wilson, TEA Peto, DW Crook, ... Bioinformatics 35 (18), 3240-3249, 2019 | 48 | 2019 |
| Enhancement of non-invasive trans-membrane drug delivery using ultrasound and microbubbles during physiologically relevant flow FE Shamout, AN Pouliopoulos, P Lee, S Bonaccorsi, L Towhidi, R Krams, ... Ultrasound in medicine & biology 41 (9), 2435-2448, 2015 | 46 | 2015 |
| Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality P Sharma, FE Shamout, DA Clifton NeurIPS 2019 Workshop AI for Social Good arXiv preprint arXiv:1912.00354, 2019 | 31 | 2019 |
| Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign … F Shamout, T Zhu, L Clifton, J Briggs, D Prytherch, P Meredith, ... BMJ open 9 (11), e033301, 2019 | 26 | 2019 |
| MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images N Hayat, KJ Geras, FE Shamout Machine Learning for Healthcare Conference, 479-503, 2022 | 19 | 2022 |
| Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs N Hayat, H Lashen, FE Shamout Machine Learning for Healthcare Conference, 461-477, 2021 | 19 | 2021 |
| Data pre-processing using neural processes for modeling personalized vital-sign time-series data P Sharma, FE Shamout, V Abrol, DA Clifton IEEE Journal of Biomedical and Health Informatics 26 (4), 1528-1537, 2021 | 13 | 2021 |
| Meta-repository of screening mammography classifiers B Stadnick, J Witowski, V Rajiv, J Chłędowski, FE Shamout, K Cho, ... arXiv preprint arXiv:2108.04800, 2021 | 13 | 2021 |
| Development and validation of early warning score systems for COVID-19 patients A Youssef, S Kouchaki, F Shamout, J Armstrong, R El-Bouri, T Taylor, ... Healthcare Technology Letters, 1-12, 2021 | 13 | 2021 |
| Explainability Matters: Backdoor Attacks on Medical Imaging M Nwadike, T Miyawaki, E Sarkar, M Maniatakos, F Shamout AAAI 2021 Workshop on Trustworthy AI for Healthcare, 2020 | 13 | 2020 |
| Privacy-preserving machine learning for healthcare: open challenges and future perspectives A Guerra-Manzanares, LJL Lopez, M Maniatakos, FE Shamout International Workshop on Trustworthy Machine Learning for Healthcare, 25-40, 2023 | 7 | 2023 |
| The strategic pursuit of artificial intelligence in the United Arab Emirates FE Shamout, DA Ali Communications of the ACM 64 (4), 57-58, 2021 | 7 | 2021 |
| Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs S Mehrdad, FE Shamout, Y Wang, SF Atashzar Scientific reports 13 (1), 9968, 2023 | 6* | 2023 |
| An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates D Johnson, M Alsharid, R El-Bouri, N Mehdi, F Shamout, A Szenicer, ... AAAI Symposium on Educational Advances in Artificial Intelligence, 2022 | 6 | 2022 |
| Machine learning for health (ML4H) workshop at NeurIPS 2018 N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ... arXiv preprint arXiv:1811.07216, 2018 | 5 | 2018 |
David A. CliftonChair of Clinical Machine Learning, University of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
