A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography. - Roy Schwartz 004; Hagar Khalid; Sandra Liakopoulos; Yanling Ouyang; Coen de Vente; Cristina González-Gonzalo; Aaron Y. Lee; Robyn H. Guymer; Emily Y. Chew; Catherine Egan; Zhichao Wu; Himeesh Kumar; et al. (CoRR, 2022)

Machine learning for real-time aggregated prediction of hospital admission for emergency patients. - Zella King; Joseph Farrington; Martin Utley; Enoch Kung; Samer Elkhodair; Steve K. Harris; Richard Sekula; Jonathan Gillham; Kezhi Li; Sonya Crowe (npj Digit. Medicine, 2022)

Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX. - Joseph Farrington; Kezhi Li; Wai Keong Wong; Martin Utley (CoRR, 2023)

Large Language Model for Mental Health: A Systematic Review. - Zhijun Guo; Alvina Lai; Johan Hilge Thygesen; Joseph Farrington; Thomas Keen; Kezhi Li (CoRR, 2024)

Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks. - Joseph Farrington; Samah Alimam; Martin Utley; Kezhi Li; Wai Keong Wong (CoRR, 2024)

Going faster to see further: graphics processing unit-accelerated value iteration and simulation for perishable inventory control using JAX. - Joseph Farrington; Wai Keong Wong; Kezhi Li; Martin Utley (Ann. Oper. Res., 2025)