Risk factors and prognostic indicators for progressive fibrosing interstitial lung disease: a deep learning-based CT quantification approach - Top-Institutions - MDSpire

Risk factors and prognostic indicators for progressive fibrosing interstitial lung disease: a deep learning-based CT quantification approach

  • By

  • Kanghwi Lee

  • Jong Hyuk Lee

  • Seok Young Koh

  • Hyungin Park

  • Jin Mo Goo

  • June 17, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    National Jewish Health
    National Jewish Health

    Denver, CO

    Key Differentiators

    • Pulmonology
    • Radiology
    • Computational Imaging

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Pulmonology
    • Radiology
    • Biomedical Engineering

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Pulmonology
    • Radiology
    • Computer Science

  • #4

    Seoul National University Hospital
    Seoul National University Hospital

    Seoul, South Korea

    Key Differentiators

    • Pulmonology
    • Radiology
    • Artificial Intelligence

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Pulmonology
    • Radiology
    • Biomedical Informatics

Original Source(s)

Risk factors and prognostic indicators for progressive fibrosing interstitial lung disease: a deep learning-based CT quantification approach

  • by Kanghwi Lee, Jong Hyuk Lee, Seok Young Koh, Hyungin Park, Jin Mo Goo

  • June 17, 2025

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