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
[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.
[Jan. 2024] I have been elected as the PR Officer for the MICCAI Student Board 2024! I will be producing social media content to help contribute to the growth and inclusivity of the community!
[Oct. 2023] Attended the MICCAI 2023 conference in Vancouver, Canada to present my research. Happy to announce I won the Best Paper Award at the UNSURE workshop at MICCAI!
[Aug. 2023] I have had two papers accepted at workshops at MICCAI, I will be presenting my paper at the UNSURE workshop in October!
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
