The role of AI in optimizing CMR image quality: A scoping review

AI can be an effective tool in addressing many of the CMR imaging challenges and thus improving image quality.

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Publication Details

Journal
Journal of medical imaging and radiation sciences
Published
2025-12-08
DOI
https://doi.org/10.1016/j.jmir.2025.102135
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

The role of AI in optimizing CMR image quality: A scoping review

Christina Malamateniou, Julien Greggio, Daniele Silipo
Journal of medical imaging and radiation sciences
Radiomics and Machine Learning in Medical Imaging
article

The role of AI in optimizing CMR image quality: A scoping review

Christina Malamateniou, Julien Greggio, Daniele Silipo
article en

Abstract

AI can be an effective tool in addressing many of the CMR imaging challenges and thus improving image quality.

Journal of medical imaging and radiation sciencesVol. 57(1)
Northampton Community College (US), St George's, University of London (GB), City St George's, University of London (GB)
Openalex Percentile: Top 46%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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The role of AI in optimizing CMR image quality: A scoping review — Christina Malamateniou, Julien Greggio, et al. · Journal of medical imaging and radiation sciences (2025) | TGRS Research Map | TGRS