Scholar
Ben Glocker
Google Scholar ID: g_HtjLIAAAAJ
Imperial College London
Citations & Impact
Citations
46,091
H-index
76
i10-index
220
Publications
20
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published papers include: Roschewitz et al (2025) on Robust image representations with counterfactual contrastive learning; Jones et al. (2025) on Rethinking Fair Representation Learning for Performance-Sensitive Tasks; Kori et al. (2024) on Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention; Jones et al. (2024) on A causal perspective on dataset bias in machine learning for medical imaging; Ng et al. (2023) on Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer, etc.
Research Experience
- Co-leads the Biomedical Image Analysis Group; Leads the Heartflow-Imperial Research Team; Is the Knowledge Transfer Lead of CHAI – The EPSRC Causality in Healthcare AI Hub.
Background
- Professor in Machine Learning for Imaging and Kheiron Medical / RAEng Research Chair in Safe Deployment of Medical Imaging AI. Co-leads the Biomedical Image Analysis Group, leads the Heartflow-Imperial Research Team, and is the Knowledge Transfer Lead of CHAI – The EPSRC Causality in Healthcare AI Hub. His research intersects medical imaging and artificial intelligence aiming to build safe and ethical computational tools for improving image-based detection and diagnosis of disease.
Miscellany
- Contact: b.glocker@imperial.ac.uk, Office Address: Office 377, Huxley Building, Department of Computing, Imperial College London
