Biomedical Image Analysis

The Oxford Biomedical Image Analysis (BioMedIA) cluster is an academic group of faculty, postdoctoral researchers, software engineers, support staff and research students that develop medical imaging and image analysis algorithms and tools that aim to improve image-based diagnostics, therapies and monitoring technologies in hospitals and primary care, and for both western world and global health care settings. The breadth of our interests span all major clinical imaging modalities (particularly magnetic resonance imaging, ultrasound imaging, endoscopy imaging, histopathology), multi-modal imaging (imaging and audio, imaging and gaze tracking, imaging and electrocardiogram) and microscopy. We conduct inter-disciplinary translational research with clinical partners in Oxford and elsewhere in the UK and overseas in clinical domains of application ranging from fetal development, to oncology, respiratory medicine, gastroenterology, neurology and cardiovascular medicine. We are well-connected within Oxford with other major research initiatives such as the Oxford Biomedical Research Centre and the CRUK Oxford Centre.

We have a strong tradition of postgraduate research training and welcome enquiries from prospective research students. Current research students are enrolled on one of a number of programmes including: the DPhil in Engineering Science, the Centre for Doctoral Training in Health Data Sciences, and the National Institutes of Health Oxford-Cambridge Scholars Programme.

The Oxford BioMedIA research cluster collaborates closely with clinical partners on multi-disciplinary clinical application research. Some of the clinical application areas are described below.
Clinical Themes

The Oxford BioMedIA research cluster has a strong focus on machine-learning in medical imaging algorithms research. Technical themes of interest are described below:
Technical Themes

The Oxford BioMedIA research cluster collaborates with clinicians and other stakeholders (including patients and industry partners) on early evaluation of imaging and imaging AI technologies in a clinical setting and to understand challenges in new technology adoption.
Translational Themes