Health informatics

Work in the health informatics theme in the School of Computer Science focuses on developing biomedical models, hypotheses, and systems for future biomedical research projects using data from both studies and simulations.

Research projects

- Dr Areti Manataki
- Dr David Harris-Birtill - Group leader
- Prof Juliana Bowles
- Dr Juan Ye
- Dr Ognjen Arandelovic
- Prof Saleem Bhatti
- Prof Simon Dobson
- Prof Tom Kelsey
- Dr Olexandr Konovalov
- Mr David Morrison
- Guo, Z , Fang, L, Lin, J, Qian, Y, Zhao, S, Wang, Z, Dong, J, Chen, C, Arandjelović, O & Lau, CP 2024 'A Grey-box attack against latent diffusion model-based image editing by posterior collapse' arXiv. <http://arxiv.org/abs/2408.10901>
- Guo, Z, Li, W, Qian, Y, Arandelovic, O & Fang, L 2024, A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models. in International Conference on Artificial Intelligence and Statistics. vol. 238, pp. 901-909.
- Lei, Y, He, S, Khamis, M & Ye, J 2024, 'An end-to-end review of gaze estimation and its interactive applications on handheld mobile devices', ACM Computing Surveys, vol. 56, no. 2, 34. https://doi.org/10.1145/3606947
- Guo, Z, Dong, J, Qian, Y, Wang, K, Li, W, Guo, Z, Wang, Y, Li, Y, Arandjelović, O & Fang, L 2024 'Artwork protection against neural style transfer using locally adaptive adversarial color attack' arXiv. <http://arxiv.org/abs/2401.09673>