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I am Professor in Machine Learning for Imaging and Kheiron Medical Technologies / RAEng Research Chair in Safe Deployment of Medical Imaging AI. I am co-leading the Biomedical Image Analysis Group, lead the HeartFlow-Imperial Research Team and I am Head of ML Research at Kheiron.

My research is at the intersection of medical imaging and artificial intelligence aiming to build safe and ethical computational tools for improving image-based detection and diagnosis of disease.

Opinion piece
In AI development, equality starts with a mandate for fairness and inclusivity

Research article
Roschewitz et al. (2023) Automatic correction of performance drift under acquisition shift in medical image classification

Research article
Glocker et al. (2023) Risk of Bias in Chest Radiography Deep Learning Foundation Models

Research article
Glocker et al. (2023) Algorithmic encoding of protected characteristics in chest X-ray disease detection models

Bernhardt, Jones, Glocker (2022) Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms

Research article
Bernhardt et al. (2022) Active label cleaning for improved dataset quality under resource constraints

Research article
Sinclair et al. (2022) Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks

Research article
Castro et al. (2020) Causality Matters in Medical Imaging

Research paper
Pawlowski et al. (2020) Deep Structural Causal Models for Tractable Counterfactual Inference

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