Comparative analysis of photon-counting and energy-integrating detector CT to identify obstructive coronary artery disease - Top-Institutions - MDSpire

Comparative analysis of photon-counting and energy-integrating detector CT to identify obstructive coronary artery disease

  • By

  • Melinda Boussoussou

  • Milán Vecsey-Nagy

  • Zsófia Jokkel

  • Borbála Vattay

  • Anikó Kubovje

  • Barbara Sipos

  • Márton Kolossváry

  • Anikó Ilona Nagy

  • Lili Száraz

  • Sámuel Beke

  • Bernard Schmidt

  • Máté Kiss

  • Béla Merkely

  • Josua A. Decker

  • Tilman Emrich

  • Akos Varga-Szemes

  • Pál Maurovich-Horvat

  • Bálint Szilveszter

  • November 14, 2025

  • 0 min

Share

Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Cardiovascular Radiology
    • Cardiac CT
    • Interventional Cardiology

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Cardiac Imaging
    • Cardiology
    • Radiology

  • #3

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Cardiovascular Medicine
    • Cardiac Imaging
    • Radiology

  • #4

    Semmelweis University Heart and Vascular Centre
    Semmelweis University Heart and Vascular Centre

    Budapest, Hungary

    Key Differentiators

    • Cardiovascular Imaging
    • Cardiology
    • Radiology

  • #5

    Medical University of South Carolina
    Medical University of South Carolina

    Charleston, SC

    Key Differentiators

    • Cardiovascular Imaging
    • Radiology
    • Cardiology

Original Source(s)

Comparative analysis of photon-counting and energy-integrating detector CT to identify obstructive coronary artery disease

  • by Melinda Boussoussou, Milán Vecsey-Nagy, Zsófia Jokkel, Borbála Vattay, Anikó Kubovje, Barbara Sipos, Márton Kolossváry, Anikó Ilona Nagy, Lili Száraz, Sámuel Beke, Bernard Schmidt, Máté Kiss, Béla Merkely, Josua A. Decker, Tilman Emrich, Akos Varga-Szemes, Pál Maurovich-Horvat, Bálint Szilveszter

  • November 14, 2025

Related Content

Grounded report generation for enhancing ophthalmic ultrasound interpretation using Vision-Language Segmentation models

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

Multimodal brain network topology and enhanced computer-aided diagnosis in Parkinson’s Disease: a systematic review and meta-analysis