Professor Mark Halling-Brown

My role in Scientific Computing involves leading a team in the development of Clinical Systems and databases, services and techniques for visualization, analysis and investigation of medical imagery, improvement of QA services, clinical applications and AI/Machine learning on medical images.

We are notably involved in the development of services and techniques for visualization, analysis and investigation of medical imagery, working with CRUK grants towards the improvement of services in diagnostic imaging. Recently, my team’s involvement in the OPTIMAM project has led to the creation of one of the world’s largest mammography image databases (OMI-DB). Our recent focus involves the development and validation of AI tools for use in healthcare. My team has excellent experience in image data collection for research, curation, centralization and distribution in projects such as OPTIMAM, PROSPECTS, PHOSP-Covid and NCCID.