Harry Anthony

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Invisible Gorilla Effect in Out-of-distribution Detection.
CoRR
Harry Anthony, Ziyun Liang, Hermione Warr, Konstantinos Kamnitsas
2025 J jnl
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation.
CoRR
Wentian Xu, Ziyun Liang, Harry Anthony, Yasin Ibrahim, Felix Cohen, Guang Yang, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Konstantinos Kamnitsas
2025 J jnl
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging.
CoRR
Felix Wagner, Pramit Saha, Harry Anthony, J. Alison Noble, Konstantinos Kamnitsas
2025 — conf
Specialised or Generic? Tokenization Choices for Radiology Language Models.
ELAMI@MICCAI
Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2025 J jnl
Specialised or Generic? Tokenization Choices for Radiology Language Models.
CoRR
Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2024 — conf
Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection.
UNSURE@MICCAI
Harry Anthony, Konstantinos Kamnitsas
2024 J jnl
Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection.
CoRR
Harry Anthony, Konstantinos Kamnitsas
2023 — conf
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
2023 J jnl
Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI.
CoRR
Ziyun Liang, Harry Anthony, Felix Wagner, Konstantinos Kamnitsas
2023 — conf
On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging.
UNSURE@MICCAI
Harry Anthony, Konstantinos Kamnitsas
2023 J jnl
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging.
CoRR
Harry Anthony, Konstantinos Kamnitsas