Research Areas

The Oxford Biomedical Image Analysis (BioMedIA) research cluster is an academic group of engineering faculty, postdoctoral researchers, research software engineers, postgraduate research students and professional research support staff that develop medical imaging and image analysis algorithms and tools to improve image-based and multi-modal diagnostics, therapies and monitoring technologies for hospitals, primary care and community settings and for both high-income and low-and-middle-income settings. Our research spans technical methods development, investigating clinical application areas, and early translation of new technology in to real-world clinical settings.

The breadth of our interests span all clinical imaging modalities (particularly magnetic resonance imaging, ultrasound, endoscopy, histopathology), multi-modal imaging (for instance, imaging and audio or text, imaging and operator gaze, imaging and echocardiograms) and microscopy.

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