
BIPL(Biomedical Image Processing Lab) mainly works on the development of novel algorithms and application tools for automated processing of medical and biological signals/images. Major research contribution is made towards two complementary aspects: Fundamental understanding and modelling of images and signals, and Application-driven development in collaboration with professionals in medicine, biology, psychology, engineering, physics, earth observation and sociology. With digital biomedical signals/images being widely stored and shared in networks, the research group also looks to bolster the analysis of biomedical data and cyber-security of signal processing systems.
There are four main areas of research:
If you are interested in joining please go to the recruitment page.
We are grateful for funding from UK EPSRC, ESRC, AHRC, MRC, EU ICT, Royal Society, Innovate UK, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer Research (UK) and industry.


Oct 19, 2025
One paper is published: Zhao, J., Dong, J., Zhou, H. and Dong, X. 'Boundary-aware shape recognition using dynamic graph convolutional networks'. Pattern Recognition (2026).DOI Link
Oct 19, 2025
One paper is published: Zhao, L., Yang, J., Li, K., Ding, W. and Zhou, H. 'Double uncertainty-aware learning network for multi-modal cell image segmentation'. IEEE Journal of Biomedical and Health Informatics (2025).DOI Link