De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy - Top-Institutions - MDSpire

De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy

  • By

  • Moritz Rempe

  • Lukas Heine

  • Constantin Seibold

  • Fabian Hörst

  • Jens Kleesiek

  • June 7, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Medical Informatics
    • Data Privacy
    • Machine Learning

  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Machine Learning

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Health Data Privacy

  • #4

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Data Security

  • #5

    German Cancer Research Center (DKFZ)
    German Cancer Research Center (DKFZ)

    Heidelberg, Baden-Württemberg

    Key Differentiators

    • Medical Imaging
    • Data Privacy
    • Clinical Research

Original Source(s)

De-identification of medical imaging data: a comprehensive tool for ensuring patient privacy

  • by Moritz Rempe, Lukas Heine, Constantin Seibold, Fabian Hörst, Jens Kleesiek

  • June 7, 2025

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