Multi-modal dataset creation for federated learning with DICOM-structured reports - Top-Institutions - MDSpire

Multi-modal dataset creation for federated learning with DICOM-structured reports

  • By

  • Malte Tölle

  • Lukas Burger

  • Halvar Kelm

  • Florian André

  • Peter Bannas

  • Gerhard Diller

  • Norbert Frey

  • Philipp Garthe

  • Stefan Groß

  • Anja Hennemuth

  • Lars Kaderali

  • Nina Krüger

  • Andreas Leha

  • Simon Martin

  • Alexander Meyer

  • Eike Nagel

  • Stefan Orwat

  • Clemens Scherer

  • Moritz Seiffert

  • Jan Moritz Seliger

  • Stefan Simm

  • Tim Friede

  • Tim Seidler

  • Sandy Engelhardt

  • February 3, 2025

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital and Harvard Medical School
    Massachusetts General Hospital and Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Artificial Intelligence
  • #2

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Machine Learning
  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Health Informatics
    • Data Science
  • #4

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Artificial Intelligence
  • #5

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

    Heidelberg, Baden-Württemberg

    Key Differentiators

    • Medical Imaging
    • Biomedical Informatics
    • Federated Learning

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