A generalizable 3D framework and model for self-supervised learning in medical imaging - Top-Institutions - MDSpire

A generalizable 3D framework and model for self-supervised learning in medical imaging

  • By

  • Tony Xu

  • Sepehr Hosseini

  • Chris Anderson

  • Anthony Rinaldi

  • Rahul G. Krishnan

  • Anne L. Martel

  • Maged Goubran

  • November 7, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Medical Imaging
    • Artificial Intelligence
    • Machine Learning

  • #2

    Massachusetts Institute of Technology (MIT)
    Massachusetts Institute of Technology (MIT)

    Cambridge, MA

    Key Differentiators

    • Machine Learning
    • Medical Imaging
    • Computational Biology

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Artificial Intelligence

  • #4

    University of California, Los Angeles (UCLA)
    University of California, Los Angeles (UCLA)

    Los Angeles, CA

    Key Differentiators

    • Medical Imaging
    • Artificial Intelligence
    • Computer Vision

  • #5

    University of Toronto
    University of Toronto

    Toronto, ON

    Key Differentiators

    • Medical Imaging
    • Machine Learning
    • Computer Science

Original Source(s)

A generalizable 3D framework and model for self-supervised learning in medical imaging

  • by Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran

  • November 7, 2025

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