Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes - Top-Institutions - MDSpire

Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes

  • By

  • Juan Pablo Meneses

  • Cristobal Arrieta

  • Gabriel della Maggiora

  • Cecilia Besa

  • Jesús Urbina

  • Marco Arrese

  • Juan Cristóbal Gana

  • Jose E. Galgani

  • Cristian Tejos

  • Sergio Uribe

  • April 4, 2023

  • 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
    • Hepatology
    • Biomedical Engineering

  • #2

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Hepatology
    • Biomedical Imaging

  • #3

    Massachusetts General Hospital (MGH) / Harvard Medical School
    Massachusetts General Hospital (MGH) / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Radiology
    • Hepatology
    • Biomedical Informatics

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Hepatology
    • Artificial Intelligence in Medicine

  • #5

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Hepatology
    • Biomedical Engineering

Original Source(s)

Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes

  • by Juan Pablo Meneses, Cristobal Arrieta, Gabriel della Maggiora, Cecilia Besa, Jesús Urbina, Marco Arrese, Juan Cristóbal Gana, Jose E. Galgani, Cristian Tejos, Sergio Uribe

  • April 4, 2023

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