Welcome to BIPL at UoL

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:

  1. Medical signal analysis
  2. Animal modelling
  3. Remote sensing
  4. Cyber-security

Joining BIPL

If you are interested in joining please go to the recruitment page.

Funding

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.

News

March 07, 2024

One paper is accepted by Medical Image Analysis: Liu, Z., Yang, B., Shen, Y., Ni, X., Tsaftaris, S.A. and Zhou, H. Long-short diffeomorphism memory network for weakly-supervised ultrasound landmark tracking. Medical Image Analysis. Accepted for publication.Arxiv Version

Feb 29, 2024

One paper is accepted by IEEE Trans. Wireless Commun.: Xia, G., Xiao, P., Li, B., Zhang, Y., and Zhou, H. Joint beamforming and compressed sensing for uplink grant-free access. IEEE Trans. Wireless Commun. Accepted for publication.TechRxiv Version

Feb 25, 2024

One paper is accepted by Medical Image Analysis: Tong, L., Corrigan, A., Kumar, N.R., Hallbrook, K., Orme, J., Wang, Y. and Zhou, H. CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images. Medical Image Analysis. Accepted for publication.Arxiv Version

Oct 30, 2023

One paper is accepted by IEEE Transactions on Communications: B. Li, D. Dupleich, G. Xia, H. Zhou et al. MDD-Enabled Two-Tier Terahertz Fronthaul in Indoor Industrial Cell-Free Massive MIMO. IEEE Transactions on Communications. Accepted for publication.Accepted Version

Jan 26, 2023

One paper is accepted by IEEE Trans. on Geoscience and Remote Sensing: Chen, F., Balzter, H., Zhou, F., Ren, P. and Zhou, H. DGNet: Distribution guided efficient learning for oil spill image segmentation. IEEE Trans. on Geoscience and Remote Sensing. Accepted for publication.Arxiv Version

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