James Willoughby
James Willoughby
Wolfson Building, Parks Road, Oxford OX1 3QD
Interests
I am in the first year of a DPhil in Computer Science, working on the use of Deep Learning in Medical Image Analysis as part of the Computational and Health Informatics theme. My background is in Mathematics and Physics, with an MSc in Machine Learning.
I have previously worked as a research assistant at the UCL Institute of Ophthalmology looking at the use of Deep Learning in Classification and Localisation of Disease Markers in OCT scans.
My research interests are:
- 2D and 3D Segmentation of Medical Images
- Uncertainty analysis
- Transformers and related network structures
My current research project is in improving the performance and utility of 3D segmentation methods for Medical Image Analysis, primarily looking at CT and MRI scans.
Published Work:
Runtime freezing: dynamic class loss for multi-organ 3D segmentation (ISBI 2024)
https://ora.ox.ac.uk/objects/uuid:6c4d0891-7a37-4a51-ba64-9926e8612f58
Selected Publications
-
Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation
James Willoughby and Irina Voiculescu
In IEEE International Symposium on Biomedical Imaging (ISBI). May, 2024.
Details about Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation | BibTeX data for Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation | Link to Runtime Freezing: Dynamic Class Loss for multi−organ 3D Segmentation