PeopleofSuperintelligence

Researcher

M. Jorge Cardoso

Also known as Jorge Cardoso, Jorge M. Cardoso

M. Jorge Cardoso is a medical-imaging AI researcher and first author of the paper that describes MONAI, an open-source PyTorch-based framework for deep learning in healthcare. At University College London's Centre for Medical Image Computing he developed the STEPS and geodesic information flows methods, which won the 2015 UCL-CNT Early Career Investigator Award in Neuroimaging Techniques. By 2019 he was Chief Technical Officer of the London Medical Imaging & AI Centre for Value-Based Healthcare, which launched MONAI with NVIDIA in 2020, and King's promoted him to Reader in 2021. In 2022 he coauthored latent diffusion models for 3D brain MRI that produced a synthetic dataset of 100,000 images, and he is now Chief AI Officer and a founder of Hologen as well as a Reader in AI at King's College London.

Now at
King's College London and Hologen
Badges

Timeline

  1. 2015

    A UCL early-career award

    He wins the UCL-CNT Early Career Investigator Award in Neuroimaging Techniques for 2015, recognizing his STEPS and geodesic information flows (GIF) methods from UCL's Centre for Medical Image Computing. Before King's, he is a Lecturer at UCL, Technical Lead of the Quantitative Radiology Initiative at the National Hospital for Neurology and Neurosurgery, and Engineering Lead of the Neuro-oncology Flagship Programme.

  2. 2017

    The generalised Dice loss

    With Carole H. Sudre, Wenqi Li, Tom Vercauteren and Sébastien Ourselin, he coauthors a 2017 paper that proposes the class re-balancing properties of the Generalized Dice overlap as a deep-learning loss function for unbalanced segmentation tasks.

  3. 2019

    CTO of the London AI Centre

    The London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare holds its opening event in 2019, and he presents its federated model for healthcare data access as Chief Technical Officer.

  4. 2020

    Launching the MONAI framework

    In 2020, the London AI Centre and King's School of Biomedical Engineering & Imaging Sciences launch the open-source MONAI framework with NVIDIA. As Chief Technology Officer of the London AI Centre, he says such a comprehensive tool was missing before MONAI.

  5. 2021

    Reader and synthetic brains

    King's promotes him to Reader in Artificial Medical Intelligence in 2021. In July 2021, King's also unveils the Synthetic Brain Project on NVIDIA's Cambridge-1 supercomputer, which builds deep-learning models that synthesize artificial 3D brain MRI images, and he explains that Cambridge-1 has the computing power to train models of the size needed.

  6. 2022

    The MONAI framework paper

    In September 2022, he coauthors a latent diffusion model for 3D brain MRI, trained on 31,740 T1-weighted MRI images from UK Biobank, and the team releases a synthetic dataset of 100,000 brain images. In November 2022, he is first author of the paper that introduces MONAI as a freely available, community-supported, consortium-led PyTorch-based framework for deep learning in healthcare.

  7. 2024

    Realistic synthetic brain images

    In July 2024, King's reports that an AI model from its scientists, built with University College London on the Cambridge-1 supercomputer, produces three-dimensional synthetic brain images realistic and accurate enough for medical research. He is a Reader in the School of Biomedical Engineering & Imaging Sciences and says the team has taught a computer what the human brain looks like.

  8. As of October 2026

    Chief AI Officer at Hologen

    He is Chief AI Officer and a founder of Hologen, a company rooted in University College London and King's College London, and a Reader in AI at King's. He moderates the panel on foundation models in medicine at NVIDIA's GTC Berlin Academic Experience at Charité in October 2026.

Career

  1. NowKing's College LondonReader
  2. NowHologenChief AI Officer, Founder
  3. University College LondonLecturer
  4. University College London Hospitals NHS Foundation TrustTechnical Lead of the Quantitative Radiology Initiative
  5. London Medical Imaging & Artificial Intelligence Centre for Value-Based HealthcareChief Technical Officer

From the biography.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes King's College London. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes King's College London. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes King's College London. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes King's College London. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Jorge Cardoso | King's College London kcl.ac.uk. Checked 21 October 2026.
  2. UCL-CNT Early Career Investigator Award presented to Dr. Jorge Cardoso pressrelease.brainproducts.com. Checked 21 October 2026.
  3. Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations arxiv.org. Checked 21 October 2026.
  4. Launch of the London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare kcl.ac.uk. Checked 21 October 2026.
  5. London AI Centre and NVIDIA launch MONAI – a new AI framework for healthcare kcl.ac.uk. Checked 21 October 2026.
  6. Biomedical Engineering & Imaging Sciences academic promotions kcl.ac.uk. Checked 21 October 2026.
  7. King's accelerates synthetic brain 3D image creation using AI models powered by Cambridge-1 supercomputer kcl.ac.uk. Checked 21 October 2026.
  8. Supercomputer helps create 3D synthetic brain models healthcare-in-europe.com. Checked 21 October 2026.
  9. Brain Imaging Generation with Latent Diffusion Models arxiv.org. Checked 21 October 2026.
  10. MONAI: An open-source framework for deep learning in healthcare arxiv.org. Checked 21 October 2026.
  11. AI brain images realistic enough for medical research kcl.ac.uk. Checked 21 October 2026.
  12. Team — Hologen hologen.ai. Checked 21 October 2026.
  13. Join the NVIDIA GTC Berlin Academic Experience - Charité, October 21, 2026 nvidia.com. Checked 21 October 2026.