I am a Postdoc at the Cambridge Image Analysis group. My research interests include
- deep learning
- inverse problems
- invertible neural networks
- medical imaging (in particular high-dimensional 3D data)
- adversarial examples
Publications
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems
– IEEE International Workshop on Machine Learning for Signal Processing, MLSP
(2020)
00,
1
On the connection between adversarial robustness and saliency map interpretability
– 36th International Conference on Machine Learning, ICML 2019
(2019)
2019-June,
3255
Common pitfalls and recommendations for using machine learning to detect
and prognosticate for COVID-19 using chest radiographs and CT scans
Structure preserving deep learning