Semi-Supervised Learning for Deep Causal Generative Models. - Yasin Ibrahim; Hermione Warr; Konstantinos Kamnitsas (MICCAI (12), 2024)

Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. - Hermione Warr; Yasin Ibrahim; Daniel R. McGowan; Konstantinos Kamnitsas (UNSURE@MICCAI, 2024)

Expert-Agnostic Learning to Defer. - Joshua Strong; Pramit Saha; Yasin Ibrahim; Cheng Ouyang; J. Alison Noble (CoRR, 2025)

Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation. - Wentian Xu; Ziyun Liang; Harry Anthony; Yasin Ibrahim; Felix Cohen; Guang Yang; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Konstantinos Kamnitsas (CoRR, 2025)

IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR. - Ziyun Liang; Xiaoqing Guo; Wentian Xu; Yasin Ibrahim; Natalie Voets; Pieter M. Pretorius; J. Alison Noble; Konstantinos Kamnitsas (CoRR, 2025)

Specialised or Generic? Tokenization Choices for Radiology Language Models. - Hermione Warr; Wentian Xu; Harry Anthony; Yasin Ibrahim; Daniel R. McGowan; Konstantinos Kamnitsas (CoRR, 2025)