Researcher

Ben Glocker

Ben Glocker applies machine learning to medical images, with a focus on image analysis and clinical use. He developed a TUM diploma thesis on image registration, completed a PhD in 2011, researched at Microsoft Research Cambridge, and joined Imperial in 2013. His Imperial research spans machine learning and causal reasoning for medical imaging, with work on safe clinical AI. He received a Royal Academy of Engineering Research Chair in 2023 and Imperial's President's Medal for Excellence in Research in 2024. As of October 2026, he is Professor in Machine Learning for Imaging and holds the Kheiron Medical/Royal Academy of Engineering Research Chair in Safe Deployment of Medical Imaging AI.

Works
543
Citations
51,530
h-index
81

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2007

    An image-registration thesis

    At the Technical University of Munich, he develops a mathematical model for image registration in his diploma thesis and wins the Werner von Siemens Excellence Award in 2007.

  2. 2010–2013

    A doctorate and Cambridge research

    He holds a Research Fellowship at Darwin College, University of Cambridge, from 2010 to 2012, completes a PhD at TU Munich in 2011, and works as a postdoctoral researcher in Microsoft Research Cambridge's Machine Learning & Perception Group before joining Imperial's Department of Computing in October 2013.

  3. 2013–2022

    Imperial appointments

    He joins Imperial's Department of Computing as a Lecturer in 2013, becomes Senior Lecturer in 2017 and Reader in 2019, then becomes Professor in 2022 and co-leads the Biomedical Image Analysis Group. A 2016 review he coauthors describes a shift from hand-crafted image models to data-driven models built with machine learning; his 2020 perspective examines causal reasoning, data scarcity, and mismatch between development and target settings.

  4. 2023

    A Royal Academy research chair

    In 2023, he receives a Royal Academy of Engineering Research Chair for safe deployment of medical imaging AI. The chair focuses on safeguards such as automatic failure detection, performance monitoring, and bias analysis.

  5. 2024

    An Imperial impact medal

    He receives Imperial's President's Medal for Excellence in Research in the Excellence in Impact category in 2024.

  6. As of October 2026

    Professor and privacy research

    He is Professor in Machine Learning for Imaging at Imperial and holds the Kheiron Medical/RAEng Research Chair in Safe Deployment of Medical Imaging AI. In June 2026, he and Imperial colleagues examine how membership inference attacks can reveal whether a patient's data appeared in a medical AI model's training set.

Career

  1. Since 2013Imperial College LondonLecturer, Senior Lecturer
  2. 2022–2025King's College London
  3. 2020–2024University of Pecs
  4. 2019–2025HeartFlow
  5. 2011–2013Microsoft ResearchPostdoctoral Researcher
  6. 2010–2012University of CambridgeResearch Fellow
  7. 2007–2010École Centrale Paris

Education

  1. 2011Technical University of MunichPhD
  2. 2007Technical University of MunichDiploma

Most-cited works

  1. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)2014 · IEEE Transactions on Medical Imaging · 6,729 citationsWith Antonio Criminisi, D. Louis Collins, Doina Precup, Jamie Shotton, Nicholas Ayache and Polina Golland
  2. Attention U-Net: Learning Where to Look for the Pancreas2018 · 5,451 citationsWith Steven McDonagh
  3. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods2024 · BMJ · 4,284 citationsWith Lena Maier-Hein and Marzyeh Ghassemi
  4. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation2016 · Medical Image Analysis · 3,490 citations
  5. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research2017 · The Lancet Neurology · 2,591 citations

Sources and credits

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  1. „Werner von Siemens Excellence Award“ für Absolventen der TU München portal.mytum.de. Checked 18 October 2026.
  2. Markov Random Field Optimization in Medical Image Analysis (Ben Glocker, Imperial) imperial.ac.uk. Checked 18 October 2026.
  3. About | Ben Glocker wp.doc.ic.ac.uk. Checked 18 October 2026.
  4. Learning clinically useful information from images: Past, present and future portal.fis.tum.de. Checked 18 October 2026.
  5. Causality matters in medical imaging nature.com. Checked 18 October 2026.
  6. Imperial engineers awarded Royal Academy of Engineering fellowships imperial.ac.uk. Checked 18 October 2026.
  7. Professor Ben Glocker raeng.org.uk. Checked 18 October 2026.
  8. Department of Computing Celebrates Prestigious President's Medals imperial.ac.uk. Checked 18 October 2026.
  9. Ben Glocker | About | Imperial College London profiles.imperial.ac.uk. Checked 18 October 2026.
  10. Hidden risks in medical AI leave some patients more exposed, Imperial study finds imperial.ac.uk. Checked 18 October 2026.