Andrew A. S. Soltan

19 papers A* 1A 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Democratising Clinical AI through Dataset Condensation for Classical Clinical Models.
CoRR
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Joshua Fieggen, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton
2026 J jnl
Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity.
IEEE J. Biomed. Health Informatics
Soheila Molaei, Anshul Thakur, Lei A. Clifton, Andrew A. S. Soltan, Patrick Schwab, Danielle Belgrave, Kim Branson, David A. Clifton
2026 A* conf
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling.
AAAI
Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton
2025 J jnl
DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research.
Data
Louis J. M. Aslett, Andreea Avramescu, Nicholas Bakewell, Isabel Birds, Louise Bowler, Michael P. J. Camilleri, Sheng-Chia Chung, David A. Clifton, Samuel N. Cohen, Nathan Constantine-Cooke, Eric G. Daub, Shaun M. Davidson, Spiros C. Denaxas, Karla Diaz-Ordaz, Richard Feltbower, Suzy Gallier, Stephen Gardiner, Francesca Gasperoni, Robert J. B. Goudie, Rebecca E. Green, Marlous S. Hall, Chris Holmes, John R. Hurst, Mark M. Iles, João Jorge, Emma Karoune, Ruth H. Keogh, Ruairidh King, Ruth King, Paul D. W. Kirk, Roman Klapaukh, Samaneh Kouchaki, Alvina Grace Lai, Nathan Lea, Clemence Leyrat, Kezhi Li, Watjana Lilaonitkul, Huiqi Y. Lu, Terry Lyons, Ann-Marie Mallon, Andrew A. Manderson, Nicolò Margaritella, Joshua Matteson, Sam Morley, Hannah Nicholls, Martin T. O'Reilly, Christina Pagel, Edward Palmer, Jack Roberts, Timothy J. Roberts, David S. Robertson, James Robinson, Patrick Rockenschaub, Roy A. Ruddle, Elizabeth Sapey, Luis Santos, Andrew A. S. Soltan, Fang Gao-Smith, Colin Starr, Oliver Strickson, Li Su, Mia S. Tackney, Johan Hilge Thygesen, Ana Torralbo, Alice M. Turner, Catalina A. Vallejos, Chenyang Wang, Kirstie J. Whitaker, Tony Whitehouse, David R. Westhead, Wai Keong Wong, Yue Wu, Lingyi Yang, Xiaoxu Zou
2025 J jnl
High-performance automated abstract screening with large language model ensembles.
J. Am. Medical Informatics Assoc.
Rohan Sanghera, Arun James Thirunavukarasu, Marc El Khoury, Jessica O'Logbon, Yuqing Chen, Archie Watt, Mustafa Mahmood, Hamid Butt, George Nishimura, Andrew A. S. Soltan
2025 J jnl
Improving Clinical Dataset Condensation with Mode Connectivity-based Trajectory Surrogates.
CoRR
Pafue Christy Nganjimi, Andrew A. S. Soltan, Danielle Belgrave, Lei A. Clifton, David A. Clifton, Anshul Thakur
2024 J jnl
Addressing label noise for electronic health records: insights from computer vision for tabular data.
BMC Medical Informatics Decis. Mak.
Jenny Yang, Hagen Triendl, Andrew A. S. Soltan, Mangal Prakash, David A. Clifton
2024 J jnl
Deep reinforcement learning for multi-class imbalanced training: applications in healthcare.
Mach. Learn.
Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton
2024 A conf
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks.
AISTATS
Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare, David A. Clifton
2024 J jnl
High-performance automated abstract screening with large language model ensembles.
CoRR
Rohan Sanghera, Arun James Thirunavukarasu, Marc El Khoury, Jessica O'Logbon, Yuqing Chen, Archie Watt, Mustafa Mahmood, Hamid Butt, George Nishimura, Andrew A. S. Soltan
2024 J jnl
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024 J jnl
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2023 J jnl
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning.
Nat. Mac. Intell.
Jenny Yang, Andrew A. S. Soltan, David W. Eyre, David A. Clifton
2023 J jnl
An adversarial training framework for mitigating algorithmic biases in clinical machine learning.
npj Digit. Medicine
Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang, David A. Clifton
2023 J jnl
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training.
IEEE J. Biomed. Health Informatics
Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton
2022 J jnl
Deep Reinforcement Learning for Multi-class Imbalanced Training.
CoRR
Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David A. Clifton
2022 J jnl
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening.
npj Digit. Medicine
Jenny Yang, Andrew A. S. Soltan, David A. Clifton
2022 J jnl
Privacy-aware Early Detection of COVID-19 through Adversarial Training.
CoRR
Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton
2017 J jnl
The difficult legacy of Turing's wager.
J. Comput. Neurosci.
Andrew Thwaites, Andrew A. S. Soltan, Eric Wieser, Ian Nimmo-Smith