Imperial College London

Dr Ben Glocker

Faculty of EngineeringDepartment of Computing

Reader in Machine Learning for Imaging



+44 (0)20 7594 8334b.glocker Website CV




377Huxley BuildingSouth Kensington Campus





Ben Glocker is Reader in Machine Learning for Imaging at the Department of Computing at Imperial College London where he co-leads the Biomedical Image Analysis Group. He also leads the HeartFlow-Imperial Research Team and is scientific advisor for Kheiron Medical Technologies and Definiens. He holds a PhD from TU Munich and was a post-doc at Microsoft and a Research Fellow at the University of Cambridge. His research is at the intersection of medical image analysis and artificial intelligence aiming to build computational tools for improving image-based detection and diagnosis of disease. He has received several awards including a Philips Impact Award, a Medical Image Analysis – MICCAI Best Paper Award, and the Francois Erbsmann Prize. He is a member of the Young Scientists Community of the World Economic Forum. His ERC Starting Grant MIRA is devoted to redefine the state-of-the-art in medical image analysis by developing a new generation of machine intelligence.

Guest Lectures

Spot-the-Lesion: Image- based disease detection with deep learning, Machine Learning for Translational Medicine & Personalized Healthcare, ITMAT Annual Workshop, Hammersmith Hospital, London, 2019

Value-based healthcare: How technologies can improve care across the EU, Horizon Europe: New Parliament, new Commission, new agenda, Science | Business, Brussels, Belgium, 2019

Machine Learning for Imaging, ConISyM – Converging Imaging and Systems Medicine, Castle Ringberg, Germany, 2019

Hopes and Hurdles for AI in Radiology, East Anglian Radiological Society Annual Meeting (EARS), St. Catharine’s College, University of Cambridge, UK, 2019

Artificial Intelligence in Healthcare, European Commission Expert Group on Liability and New Technologies, European Commission, Brussels, Belgium, November 27, 2018

Machine Intelligence in Clinical Imaging, Artificial Intelligence and Machine Learning in Clinical Imaging Research: Progress and Promise, Alan Turing Institute, London, Uk, 2018

Machine Learning in Medical Imaging, BIR Annual Congress, ETC Venues St. Paul's, London, UK, 2018

AI in Medical Imaging, Imperial Global Science Policy Forum, Imperial College London, 2018

Deep Learning in Medical Imaging: Beyond Human-level Performance, Deep Learning in Healthcare Summit, Deep Learning in Healthcare Summit, 2018

Deep Learning for MR Image Analysis, ISMRM 2018: Machine Learning for Magnetic Resonance in Medicine, Paris expo Porte de Versailles, Paris, 2018

Machine learning for analysing medical images, ECR 2018: Artificial intelligence: a strategic view, Austria Center Vienna, Austria, 2018

Deep learning for fully automatic segmentation of normal and pathological structures in medical images, ECR 2018: Artificial intelligence and radiology: a perfect match?, Austria Center Vienna, Austria, 2018

Can we build a machine capable of interpreting medical scans with super-human performance?, Emerging Technologies in Medicine: Artificial Intelligence and Robotics, Universitaets-Klinik Essen, 2018

Unlocking patterns in medical images with AI, EuSoMII Academy 2017: Game Changers in Radiology, Erasmus MC, Rotterdam, Netherlands, 2017

Brain Tumour Segmentation with Deep Neural Nets, BMVA Symposium: Computer Vision in Cancer, British Computer Society, London, UK, 2017

Deep Learning in Medical Imaging – Successes and Challenges, Deep Learning in Healthcare Summit, LSO St Luke’s, London, 2017

Deep Learning for Brain Lesion Segmentation, Medical Computer Vision: Algorithms for Big Data, MICCAI Workshop, Athens, Greece, 2016

Solving Continuous Problems with Discrete Optimization, Bayesian and Graphical Models for Biomedical Imaging (BAMBI) 2016, MICCAI Workshop, Athens, Greece, 2016

Medical Imaging meets Machine Learning, Medical Imaging Summer School – MISS, Favignana, Sicily, Italy, 2016

UCL Medical Image Computing Summer School, CMIC, London, UK, 2016

Computer Science in Medical Imaging, Girls’ Engineering Summer School, Imperial College London, 2016

Unlocking Patterns in Medical Images with Artificial Intelligence, World Economic Forum IdeasLab, WEF Annual Meeting of the New Champions, Tianjin, China, 2016

Deep Learning for Semantic Understanding of Medical Images, Deep Learning in Healthcare Summit, LSO St Luke’s, London, 2016

Machine Learning for Complex Data Analyses, Academy of Medical Sciences, London, UK, 2016

Big Data, Multimodality & Dynamic Models in Biomedical Imaging, Turing Gateway to Mathematics, Isaac Newton Institute, Cambridge, UK, 2016

Machine Learning Event, Royal College of Radiologists, London, UK, 2016

Big data in medical imaging: passing fad or paradigm shift, Alan Turing Institute, British Library, London, UK, 2015

UCL Medical Image Computing Summer School, CMIC, University College London, London, UK, 2015

Medical Augmented Reality, Girls' Engineering Summer School, Imperial College London, 2015

Launch Event: Imperial's Clinical Imaging Facility and the Biological Imaging Centre, Imperial College, Wolfson Education Centre, Hammersmith Campus, London, UK, 2015

1st ICML Workshop on Machine Learning meets Medical Imaging, International Conference on Machine Learning, Lille, France, 2015

3rd Biomedical Image Analysis Summer School, Institut Henri Poincaré, Paris, France, 2015

CSAIL Biomedical Imaging and Analysis Seminar Series, MIT, Boston, USA, 2014

London Critical Care Data Marathon, London, UK, 2014

The Rank Prize Funds Symposium on Medical Imaging Meets Computer Vision, Grasmere, Lake District, UK, 2014

Darwin College Sciences Group, University of Cambridge, Cambridge, UK, 2010