Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study - Top-Institutions - MDSpire

Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study

  • By

  • Yazdan Salimi

  • Isaac Shiri

  • Azadeh Akavanallaf

  • Zahra Mansouri

  • Hossein Arabi

  • Habib Zaidi

  • January 27, 2023

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Medical Imaging
    • Artificial Intelligence in Medicine

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Machine Learning

  • #3

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Artificial Intelligence
    • Medical Physics

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Medical Imaging
    • Clinical Research

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Biomedical Imaging
    • AI in Healthcare

Original Source(s)

Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study

  • by Yazdan Salimi, Isaac Shiri, Azadeh Akavanallaf, Zahra Mansouri, Hossein Arabi, Habib Zaidi

  • January 27, 2023

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