Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH - Top-Institutions - MDSpire

Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH

  • By

  • Vojtech Suchanek

  • Roman Jakubicek

  • Jan Hrdlicka

  • Matej Novak

  • Lucie Miksova

  • Pavel Jansa

  • Andrea Burgetova

  • Lukas Lambert

  • May 28, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    University of California, San Diego
    University of California, San Diego

    San Diego, CA

    Key Differentiators

    • Pulmonary Hypertension
    • Cardiothoracic Radiology
    • Computational Imaging

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Pulmonary Medicine
    • Radiology
    • Cardiology

  • #3

    National Jewish Health
    National Jewish Health

    Denver, CO

    Key Differentiators

    • Pulmonary Vascular Disease
    • Radiology
    • Biomedical Engineering

  • #4

    Imperial College London
    Imperial College London

    London, N/A

    Key Differentiators

    • Pulmonary Hypertension
    • Radiology
    • Medical Imaging Informatics

  • #5

    Brigham and Women's Hospital
    Brigham and Women's Hospital

    Boston, MA

    Key Differentiators

    • Pulmonary Medicine
    • Radiology
    • Cardiology

Original Source(s)

Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH

  • by Vojtech Suchanek, Roman Jakubicek, Jan Hrdlicka, Matej Novak, Lucie Miksova, Pavel Jansa, Andrea Burgetova, Lukas Lambert

  • May 28, 2025

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