Overview
Ben Glocker is Professor in Machine Learning for Imaging at the Department of Computing at Imperial College London where he co-leads the Biomedical Image Analysis Group. He is the Kheiron Medical Technologies / Royal Academy of Engineering Research Chair in Safe Deployment of Medical Imaging AI. He also leads the HeartFlow-Imperial Research Team and is Head of ML Research at Kheiron. He holds a PhD from TU Munich and was a postdoc at Microsoft and a Research Fellow at the University of Cambridge. His 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. 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 and a member of the AI Task Group of the UK National Screening Committee advising the Government on questions around clinical deployment of AI for screening programmes. He was awarded an ERC Starting Grant in 2017.
Guest Lectures
Bias in Chest X-ray Disease Detection Models, MICCAI Workshop on Uncertainty for Safe Utilization of ML in Medical Imaging, Singapore, MICCAI Conference, 2022
Safety nets for clinical deployment of medical imaging AI, AI for Doctors Workshop, TU Munich, Germany, 2022
Safety nets in medical imaging AI, CVPR Medical Computer Vision Workshop 2022, Hybird, New Orleans, USA, 2022
Algorithmic encoding of protected characteristics, Responsible AI Seminar, Online, DTU, 2022
AI for early detection of diseases, The Alan Turing Institute – AI UK 2022, Hybrid, London, 2022
AI for image-based detection of disease, STFC Cancer Diagnostic Network – Data Science Workshop, Online, Science and Technology Facilities Council, 2021
Deep Structural Causal Models for Counterfactual Inference, MICCAI Workshop on Predictive Intelligence in Medicine, Online, MICCAI Conference, 2021
Safeguards in Medical Imaging AI, Artificial Intelligence in Future Health & Care: Regulation, Evaluation & Policies, Online, Imperial College London, 2021
Towards Safer AI in Medical Imaging, MIUA 2021 Keynote, Online, 2021
Towards Safer AI in Medical Imaging, Pitt-CMU MLxMed Seminar, Online, 2021
Causality in Medical Imaging, Hamlyn Winter School, London (online), 2020
AI in Radiology: The Story Behind the Data, Artificial Intelligence in MRI, Virtual IPEM Workshop, 2020
The Quest for Robust Machine Learning, MICCAI Workshop on Domain Adaptation and Representation Transfer, Virtual MICCAI conference, 2020
AI in Radiology: The Story Behind the Data, Artificial Intelligence in Clinical Medical Imaging, sitem-insel, Bern, Switzerland, 2020
Training data for deep learning: what is needed?, ECR 2020: Artificial intelligence in radiology: the basics you need to know, Online, 2020
Uncertainty, causality and generalization: Attempts to improve predictive modelling, Data Science Seminar | heidelberg.ai, DKFZ, Heidelberg, Germany (online), 2020
Uncertainty, causality and generalization: Attempts to improve predictive modelling, BL.MIA Seminar Series, MIT CSAIL (online), 2020
Causal considerations for machine learning in medical imaging, ELLIS Health Workshop, Online, 2020
Episode 6 - The one with whole body MRI, ESR Connect – Reasons to do AI with Friends, Broadley Studios, London, UK, 2020
Causality Matters in Medical Imaging, Machine Learning in Medicine: Virtual Seminar Series, Cornell, New York, USA, 2020
Causality Matters in Medical Imaging, IPAM Workshop: Deep Learning and Medical Applications, UCLA, Los Angeles, USA, 2020
Good and bad data in machine learning for imaging, BIR/RCR Meeting: AI in Radiology 2020, Cavendish Conference Centre, London, 2020
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
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
Machine learning for analysing medical images, ECR 2018: Artificial intelligence: a strategic view, 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
Solving Continuous Problems with Discrete Optimization, Bayesian and Graphical Models for Biomedical Imaging (BAMBI) 2016, MICCAI Workshop, Athens, Greece, 2016
Deep Learning for Brain Lesion Segmentation, Medical Computer Vision: Algorithms for Big Data, 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