On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging. - Harry Anthony; Konstantinos Kamnitsas (UNSURE@MICCAI, 2023)

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI. - Ziyun Liang; Harry Anthony; Felix Wagner 001; Konstantinos Kamnitsas (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection. - Harry Anthony; Konstantinos Kamnitsas (UNSURE@MICCAI, 2024)

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)

DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging. - Felix Wagner 001; Pramit Saha; Harry Anthony; 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)