Research

Research Areas

The clinical and application areas of our computational medical imaging research — from pathology, haematology and radiology to ophthalmology, surgery and point-of-care imaging.

Computational Pathology Foundation models, virtual staining and interpretable grading of whole-slide images. 6 projects 20 papers 3 datasets Computational Hematology Explainable diagnosis of rare blood disorders and digital staining of blood cells. 2 projects 8 papers Computational Radiology Foundation models and federated learning for CT, MRI, X-ray and mammography. 15 projects 79 papers 6 datasets Computational Neuroradiology Anomaly detection in head CT and brain MRI, and neonatal ultra-low-field MRI. 5 projects 28 papers 1 datasets Computational Ophthalmology Retinal imaging, eyelid and conjunctival tumours, OCT representations and mobile apps. 5 projects 21 papers 3 datasets Interventional Imaging Low-dose X-ray guidance, catheter and device localisation, and AI for endoscopic and surgical video. 2 projects 22 papers Point-of-Care Imaging Portable MRI, handheld ultrasound, mobile-phone apps and telemedicine. 10 projects 18 papers 4 datasets Women's & Fetal Health Imaging Fair breast cancer screening, breast lesion detection and fetal ultrasound. 2 projects 6 papers 2 datasets Computer Vision & Transdisciplinary AI 6D pose estimation and camera relocalisation, and machine learning for materials and food science. 4 projects 12 papers