MRI-based radiomic feature analysis of end-stage liver disease for severity stratification - Top-Institutions - MDSpire

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification

  • By

  • Jennifer Nitsch

  • Jordan Sack

  • Michael W. Halle

  • Jan H. Moltz

  • April Wall

  • Anna E. Rutherford

  • Ron Kikinis

  • Hans Meine

  • March 1, 2021

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Hepatology
    • Radiology
    • Medical Imaging
    • Computational Medicine

  • #2

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

    San Francisco, CA

    Key Differentiators

    • Hepatology
    • Radiology
    • Biomedical Imaging
    • Liver Transplantation

  • #3

    Massachusetts General Hospital (MGH)
    Massachusetts General Hospital (MGH)

    Boston, MA

    Key Differentiators

    • Radiology
    • Hepatology
    • Medical Imaging
    • Computational Radiology

  • #4

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Hepatology
    • Radiology
    • Biomedical Engineering

  • #5

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Hepatology
    • Biomedical Informatics

Original Source(s)

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification

  • by Jennifer Nitsch, Jordan Sack, Michael W. Halle, Jan H. Moltz, April Wall, Anna E. Rutherford, Ron Kikinis, Hans Meine

  • March 1, 2021

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