Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement. - Philip Teare; Michael Fishman 002; Oshra Benzaquen; Eyal Toledano; Eldad Elnekave (J. Digit. Imaging, 2017)

Classification of datasets with imputed missing values: does imputation quality matter? - Tolou Shadbahr; Michael Roberts; Jan Stanczuk; Julian D. Gilbey; Philip Teare; Sören Dittmer; Matthew Thorpe; Ramón Viñas Torné 001; Evis Sala; Pietro Lió; Mishal Patel; AIX-COVNET Collaboration; et al. (CoRR, 2022)

Unlocking the Heart Using Adaptive Locked Agnostic Networks. - Sylwia Majchrowska; Anders Hildeman; Philip Teare; Tom Diethe (CoRR, 2023)

An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning. - Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Teare (CoRR, 2023)

Navigating the development challenges in creating complex data systems. - Sören Dittmer; Michael Roberts; Julian D. Gilbey; Ander Biguri; Ian Selby; Anna Breger; Matthew Thorpe; Jonathan R. Weir-McCall; Effrossyni Gkrania-Klotsas; Anna Korhonen; Emily R. Jefferson; Georg Langs; et al. (Nat. Mac. Intell., 2023)

Tackling Structural Hallucination in Image Translation with Local Diffusion. - Seunghoi Kim; Chen Jin; Tom Diethe; Matteo Figini; Henry F. J. Tregidgo; Asher Mullokandov; Philip Teare; Daniel C. Alexander (ECCV (81), 2024)

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning. - Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Teare (ICML, 2024)

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations. - Aryo Pradipta Gema; Chen Jin; Ahmed Abdulaal; Tom Diethe; Philip Teare; Beatrice Alex; Pasquale Minervini; Amrutha Saseendran (CoRR, 2024)

Balancing Act: Diversity and Consistency in Large Language Model Ensembles. - Ahmed Abdulaal; Chen Jin; Nina Montaña Brown; Aryo Pradipta Gema; Daniel C. Castro; Daniel C. Alexander; Philip Alexander Teare; Tom Diethe; Dino Oglic; Amrutha Saseendran (ICLR, 2025)

Exploring interpretable echo analysis using self-supervised parcels. - Sylwia Majchrowska; Anders Hildeman; Ricardo Mokhtari; Tom Diethe; Philip Teare (Comput. Biol. Medicine, 2025)

Diffusion Instruction Tuning. - Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Teare (CoRR, 2025)

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation. - Zhihua Liu; Amrutha Saseendran; Lei Tong; Xilin He; Fariba Yousefi; Nikolay Burlutskiy; Dino Oglic; Tom Diethe; Philip Teare; Huiyu Zhou 001; Chen Jin (CoRR, 2025)