Overview
We study how machines can understand anatomy, motion, and clinical thinking — so that medical AI becomes more useful, trustworthy, and safe in real-world healthcare.
Generative Modeling
Structure-aware Learning
Multi-Agent Reasoning
We build generative models of cardiac anatomy and motion — to support simulation, personalisation, and digital twins.
Multi-Agent Reasoning
Structure-aware Learning
Multi-Agent Reasoning
We design collaborative agent systems that interpret and reason across clinical data, inspired by how care teams work.
Structure-aware Learning
Structure-aware Learning
Structure-aware Learning
We develop learning methods that incorporate anatomical structure into representation and model behaviour.