Ben Glocker

Ben Glocker is a Professor in Machine Learning for Imaging at the Department of Computing, Imperial College London. His research focuses on biomedical image analysis, computer vision, semantic image understanding, and machine learning. He leads the Biomedical Image Analysis Group and the Heartflow-Imperial Research Team, and serves as Knowledge Transfer Lead of CHAI – The EPSRC Causality in Healthcare AI Hub. His work aims to develop safe and ethical computational tools for improving image-based disease detection and diagnosis. Glocker's research includes topics such as dataset bias, performance drift, and causality in medical imaging.

Ben Glocker is a researcher at Imperial College London specializing in Medical Image Analysis, Computer Vision, and Machine Learning. His work focuses on developing advanced algorithms for medical image segmentation, particularly in brain tumor and cardiovascular imaging. He has contributed to benchmarking frameworks like BRATS and explored the use of deep learning techniques such as attention mechanisms and fully connected CRFs. His research also addresses challenges in domain adaptation, semi-supervised learning, and the integration of causality in medical imaging. Glocker's publications emphasize the application of AI in healthcare, including disease prediction and clinical prediction model reporting.