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Medical image computing

We are working to make medical imaging more powerful, allowing healthcare practitioners to provide better care to patients through diagnosing illnesses more accurately and planning treatments more effectively.

We bring together expertise in computer science, physics, and medicine to address key challenges within healthcare.

Our vision is to pioneer the next-generation medical imaging and computational techniques, using advanced algorithms and Artificial Intelligence (AI) to revolutionise medical diagnosis, treatment planning, and healthcare delivery.


Our aims are:

  • to enhance patient outcomes
  • to improve clinical workflows
  • to contribute to the advancement of healthcare globally


We conduct active research in diverse Medical Image Computing (MIC) topics, including:

  • image acquisition and reconstruction
  • image processing and analysis
  • automated Quality Control (QC)
  • microstructure imaging
  • numerical simulations
  • bayesian inference
  • big data
  • multimodal data integration
  • data compression

Academic staff

Picture of Hantao Liu

Professor Hantao Liu

Professor of Human-Centric Artificial Intelligence
Director of International

+44 29208 76557
Picture of Paul Rosin

Professor Paul Rosin

Professor of Computer Vision

+44 29208 75585
Picture of Wei Zhou

Dr Wei Zhou

Lecturer in Intelligent Visual Computing


Next steps


Research that matters

Our research makes a difference to people’s lives as we work across disciplines to tackle major challenges facing society, the economy and our environment.


Postgraduate research

Our research degrees give the opportunity to investigate a specific topic in depth among field-leading researchers.


Our research impact

Our research case studies highlight some of the areas where we deliver positive research impact.