CT and MRI radiomics in cardiovascular risk prediction: a systematic review and meta-analysis by the EuSoMII Radiomics Auditing Group - Top-Institutions - MDSpire

CT and MRI radiomics in cardiovascular risk prediction: a systematic review and meta-analysis by the EuSoMII Radiomics Auditing Group

  • By

  • Armando Ugo Cavallo

  • Andrea Ponsiglione

  • Bernardo Pereira

  • Carlo Di Donna

  • Emmanouil Koltsakis

  • Federica Vernuccio

  • Mario Laudazi

  • Roberto Cannella

  • Salvatore Claudio Fanni

  • Tugba Akinci D’Antonoli

  • Renato Cuocolo

  • December 24, 2025

  • 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

    • Cardiology
    • Radiology
    • Biomedical Imaging
    • Artificial Intelligence

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Cardiology
    • Radiology
    • Biomedical Engineering

  • #3

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Radiology
    • Cardiology
    • Biomedical Informatics

  • #4

    European Society of Medical Imaging Informatics (EuSoMII)
    European Society of Medical Imaging Informatics (EuSoMII)

    Various (Europe-wide)

    Key Differentiators

    • Medical Imaging Informatics
    • Radiomics
    • Cardiovascular Imaging

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Cardiology
    • Radiology
    • Medical Imaging Research

Original Source(s)

CT and MRI radiomics in cardiovascular risk prediction: a systematic review and meta-analysis by the EuSoMII Radiomics Auditing Group

  • by Armando Ugo Cavallo, Andrea Ponsiglione, Bernardo Pereira, Carlo Di Donna, Emmanouil Koltsakis, Federica Vernuccio, Mario Laudazi, Roberto Cannella, Salvatore Claudio Fanni, Tugba Akinci D’Antonoli, Renato Cuocolo

  • December 24, 2025

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