Deep learning reconstruction for detection of liver lesions at standard-dose and reduced-dose abdominal CT - Top-Institutions - MDSpire

Deep learning reconstruction for detection of liver lesions at standard-dose and reduced-dose abdominal CT

  • By

  • Tormund H. Njølstad

  • Kristin Jensen

  • Hilde K. Andersen

  • Audun E. Berstad

  • Gaute Hagen

  • Cathrine K. Johansen

  • Kjetil Øye

  • Jan Glittum

  • Anniken Dybwad

  • Emma Thingstad

  • Marianne G. Guren

  • Johann Baptist Dormagen

  • Anselm Schulz

  • April 19, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Medical Imaging
    • Artificial Intelligence in Medicine

  • #2

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Medical Imaging Research
    • Computational Imaging

  • #3

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Artificial Intelligence

  • #4

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Medical Imaging
    • AI in Healthcare

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Medical Imaging
    • AI and Machine Learning

Original Source(s)

Deep learning reconstruction for detection of liver lesions at standard-dose and reduced-dose abdominal CT

  • by Tormund H. Njølstad, Kristin Jensen, Hilde K. Andersen, Audun E. Berstad, Gaute Hagen, Cathrine K. Johansen, Kjetil Øye, Jan Glittum, Anniken Dybwad, Emma Thingstad, Marianne G. Guren, Johann Baptist Dormagen, Anselm Schulz

  • April 19, 2025

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