PeopleofSuperintelligence

Researcher

Malte Hoffmann

Malte Hoffmann is a medical-imaging researcher whose work applies AI to brain MRI. He earned a physics bachelor's degree at the University of Paris XI and master's and PhD degrees at the University of Cambridge. His work includes SynthMorph for MRI registration and SynthStrip for brain extraction. In 2025, he published a tutorial on domain-randomized deep learning and coauthored MindGrab, a tool for brain extraction across imaging modalities. As of October 2026, he is an Investigator at the Mass General Research Institute, an Assistant Professor of Radiology at Harvard Medical School and affiliated faculty in MIT's Health Sciences and Technology Division.

Works
62
Citations
1,663
h-index
15

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. September 2015

    Cambridge RF probe research

    In September 2015, he coauthors a study showing how additional sampling directions improve the detection range of wireless radiofrequency probes at Cambridge's Wolfson Brain Imaging Centre.

  2. 2020–2022

    SynthMorph image registration

    In April 2020, he and five collaborators introduce SynthMorph, a synthetic-image strategy for MRI registration without acquired imaging data. The paper appears in IEEE Transactions on Medical Imaging in 2022 and trains networks to handle MRI contrasts.

  3. March 2022

    SynthStrip brain extraction

    In March 2022, he coauthors SynthStrip, a learning-based tool that removes non-brain signal from MRI scans across varied acquisition protocols. Its synthetic training images help the model generalize across imaging types and resolutions.

  4. July 2024

    Assistant Professor at Harvard

    In July 2024, he is a researcher in the Laboratories for Computational Imaging at the Martinos Center and lead author of a SynthMorph study. His education includes a physics bachelor's degree at the University of Paris XI and master's and PhD degrees at Cambridge; he is an Assistant Professor of Radiology at Harvard Medical School.

  5. June 2025

    MindGrab for brain extraction

    In June 2025, he and six collaborators introduce MindGrab, a lightweight, fully convolutional model for volumetric skull stripping across all imaging modalities. The tool is available through the BrainChop web app and a command-line tool.

  6. July 2025

    Domain-randomized deep learning

    A tutorial by Hoffmann in July 2025 reviews domain-randomized deep learning for neuroimage analysis. It describes how training neural networks on synthetic images with randomized intensities and anatomy can help them process image types unseen during training.

  7. As of October 2026

    Harvard and MIT appointments

    As of October 2026, he is an Investigator at the Mass General Research Institute, an Assistant Professor of Radiology at Harvard Medical School and affiliated faculty in MIT's Health Sciences and Technology Division. His research develops AI algorithms for medical image analysis, with work in deep learning, computer vision and MRI acquisition.

Career

  1. NowMass General BrighamInvestigator, Mass General Research Institute at Massachusetts General Hospital
  2. NowHarvard UniversityAssistant Professor of Radiology
  3. NowMassachusetts Institute of TechnologyAffiliated Faculty, Health Sciences and Technology Division
  4. University of CambridgeResearch at Wolfson Brain Imaging Centre
  5. Mass General BrighamResearcher, Laboratories for Computational Imaging at the Martinos Center, Massachusetts General Hospital

Education

  1. Paris-Sud UniversityBachelor's degree in physics
  2. University of CambridgeMaster's degree
  3. University of CambridgePhD

From the biography.

Checked career sources: advances.massgeneral.org, researchers.mgh.harvard.edu.

Sources and credits

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  1. Additional sampling directions improve detection range of wireless radiofrequency probes pmc.ncbi.nlm.nih.gov. Checked 27 October 2026.
  2. SynthMorph: learning contrast-invariant registration without acquired images arxiv.org. Checked 27 October 2026.
  3. SynthStrip: Skull-Stripping for Any Brain Image arxiv.org. Checked 27 October 2026.
  4. AI Enables Faster, More Precise Image Registration for Medical Image Analysis advances.massgeneral.org. Checked 27 October 2026.
  5. Malte Hoffmann, Ph.D. | Mass General Research Institute researchers.mgh.harvard.edu. Checked 27 October 2026.
  6. MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser arxiv.org. Checked 27 October 2026.
  7. Domain-randomized deep learning for neuroimage analysis arxiv.org. Checked 27 October 2026.