Hello world! My name is Harry Anthony and I am a DPhil student at the University of Oxford. As part of the IBME group, my research focuses on improving the reliability of deep neural networks in the field of medical imaging, with a particular emphasis on Out-of-distribution (OOD) detection. OOD detection is critical for ensuring the accuracy and safety of medical imaging systems, as it helps to identify when input data differs from its training data. Through my research, I aim to develop novel methods for deep learning algorithms to detect OOD inputs and improve the overall performance of medical imaging systems. Prior to my doctoral studies, I obtained a first class master's degree in Physics from Imperial College London.
Updates
[Jan. 2026] I’m excited to share that I had a paper accepted at ICLR 2026.
[Aug. 2025] I’m excited to share that I had two papers accepted - one at NeurIPS 2025 and one at ELAMI (MICCAI 2025).
[Nov. 2024] I started a YouTube channel, where I will be uploading my research presentations.
[Nov. 2024] I co-moderated the latest MICCAI Student Board Webinar which was on advice for PhD students on picking a research focus and Thesis writing.
[Oct. 2024] I attended the MICCAI 2024 conference in Marrakesh to present my work at the UNSURE workshop with a long oral presentation!
[Apr. 2024] I was invited as a guest on the MICCAI Student Board Webinar Series, where I took part in a panel discussion on MICCAI reviews, rebuttals, workshop papers and challenges.
You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging
Wentian Xu, Ziyun Liang, Harry Anthony , Yasin Ibrahim, Felix Cohen, Guang Yang & Konstantinos Kamnitsas
ICLR 2026
Specialised or generic? Tokenisation choices for radiology language models
Hermione Warr, Wentian Xu, Harry Anthony , Yasin Ibrahim, Daniel R McGowan & Konstantinos Kamnitsas
ELAMI at MICCAI 2025
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner, Harry Anthony , Pramit Saha, J Alison Noble, & Konstantinos Kamnitsas
NeurIPS 2025
Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection
Harry Anthony & Konstantinos Kamnitsas
UNSURE at MICCAI 2024
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging
Harry Anthony & Konstantinos Kamnitsas
UNSURE at MICCAI 2023
🏆 Best Paper Award at UNSURE 2023
Modality cycles with masked conditional diffusion for unsupervised anomaly segmentation in MRI
Ziyun Liang, Harry Anthony , Felix Wagner & Konstantinos Kamnitsas
MMMI at MICCAI 2023
A search for axions at the Large Hadron Collider
Harry Anthony , Anni Kauniskangas & Michael McCann
Masters Thesis at Imperial College London 2022
Research Presentations & Talks
A collection of my previous research presentations.
