| Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test AAS Soltan, S Kouchaki, T Zhu, D Kiyasseh, T Taylor, ZB Hussain, T Peto, ... The Lancet Digital Health 3 (2), e78-e87, 2021 | 150* | 2021 |
| Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening J Yang, AAS Soltan, DA Clifton NPJ digital medicine 5 (1), 69, 2022 | 54 | 2022 |
| Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening AAS Soltan, J Yang, R Pattanshetty, A Novak, Y Yang, O Rohanian, ... The Lancet Digital Health 4 (4), e266-e278, 2022 | 40 | 2022 |
| Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning J Yang, AAS Soltan, DW Eyre, DA Clifton Nature Machine Intelligence 5 (8), 884-894, 2023 | 31* | 2023 |
| An adversarial training framework for mitigating algorithmic biases in clinical machine learning J Yang, AAS Soltan, DW Eyre, Y Yang, DA Clifton NPJ digital medicine 6 (1), 55, 2023 | 31 | 2023 |
| Entrainment to the CIECAM02 and CIELAB colour appearance models in the human cortex A Thwaites, C Wingfield, E Wieser, A Soltan, WD Marslen-Wilson, ... Vision research 145, 1-10, 2018 | 21 | 2018 |
| Algorithmic fairness and bias mitigation for clinical machine learning: Insights from rapid COVID-19 diagnosis by adversarial learning J Yang, AAS Soltan, Y Yang, DA Clifton medRxiv, 2022.01. 13.22268948, 2022 | 13 | 2022 |
| 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 8 (5), 105-117, 2021 | 13 | 2021 |
| Deep reinforcement learning for multi-class imbalanced training: applications in healthcare J Yang, R El-Bouri, O O’Donoghue, AS Lachapelle, AAS Soltan, DW Eyre, ... Machine Learning, 1-20, 2023 | 12 | 2023 |
| A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals AAS Soltan, A Thakur, J Yang, A Chauhan, LG D’Cruz, P Dickson, ... The Lancet Digital Health 6 (2), e93-e104, 2024 | 11* | 2024 |
| Privacy-aware early detection of COVID-19 through adversarial training O Rohanian, S Kouchaki, A Soltan, J Yang, M Rohanian, Y Yang, ... IEEE journal of biomedical and health informatics 27 (3), 1249-1258, 2022 | 4 | 2022 |
| The difficult legacy of Turing’s wager A Thwaites, A Soltan, E Wieser, I Nimmo-Smith Journal of Computational Neuroscience 43, 1-4, 2017 | 4 | 2017 |
| Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability J Yang, L Clifton, NT Dung, NT Phong, LM Yen, DBX Thy, AAS Soltan, ... Scientific Reports 14 (1), 13318, 2024 | 3* | 2024 |
| From data to diagnosis: skin cancer image datasets for artificial intelligence D Wen, A Soltan, E Trucco, RN Matin Clinical and Experimental Dermatology, llae112, 2024 | 1 | 2024 |
| Geometrically-aggregated training samples: Leveraging summary statistics to enable healthcare data democratization J Yang, A Thakur, AAS Soltan, DA Clifton medRxiv, 2023.10. 24.23297460, 2023 | 1 | 2023 |
| Measurement datasets 1-3.01 for the “Kymata Atlas” A Thwaites, I Nimmo-Smith, E Wieser, A Soltan, WD Marslen-Wilson University of Cambridge, 2016 | 1 | 2016 |
| Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks S Molaei, A Thakur, G Niknam, A Soltan, H Zare, DA Clifton International Conference on Artificial Intelligence and Statistics, 1342-1350, 2024 | | 2024 |
| Specialty referrals simulation: an educational initiative for final year medical students C Anderson, A Manji, AE Park, A Soltan Future Healthcare Journal 10 (Suppl 3), 79, 2023 | | 2023 |
| A scalable federated learning solution for emergency care using low cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals AS Soltan, A Thakur, J Yang, A Chauhan, LG D'Cruz, P Dickson, ... Lancet Digital Health, 2023 | | 2023 |
| Addressing Label Noise for Electronic Health Records: Insights from Computer Vision for Tabular Data J Yang, H Triendl, AAS Soltan, M Prakash, DA Clifton medRxiv, 2023.10. 17.23297136, 2023 | | 2023 |
