A personalized computational framework for the diagnosis of cardiac perfusion defects

This work represents the first attempt to predict and validate MBF on such a large cohort, paving the way for future clinical applications.

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Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-08-08
DOI
https://doi.org/10.1016/j.cmpb.2025.108990
Citations
3
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
4.08
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article

A personalized computational framework for the diagnosis of cardiac perfusion defects

Christian Vergara, Giovanni Montino Pelagi, Andrea Baggiano, Gianluca Pontone et al.
3 citations
Computer Methods and Programs in Biomedicine
Cardiac Imaging and Diagnostics
4.08
article

A personalized computational framework for the diagnosis of cardiac perfusion defects

Christian Vergara, Giovanni Montino Pelagi, Andrea Baggiano, Gianluca Pontone, Guido Nannini, Alberto Redaelli, Elisabetta Criseo, Viola Cusumano
article en
3 citations

Abstract

This work represents the first attempt to predict and validate MBF on such a large cohort, paving the way for future clinical applications.

Computer Methods and Programs in BiomedicineVol. 271
University of Milan (IT), Centro Cardiologico Monzino (IT), Politecnico di Milano (IT)
Good health and well-being
Openalex Percentile: Top 6%
Cardiac Imaging and Diagnostics
4.08
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