The impact of training image quality with a novel protocol on artificial intelligence-based LGE-MRI image segmentation for potential atrial fibrillation management

Standardized labeling and RIFE applications significantly improved machine learning tool efficiency for constructing 3D LA models. This novel approach supports integrating state-of-the-art machine learning methods into broader in silico pipelines for predicting ablation outcomes in AF patients.

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Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-03-15
DOI
https://doi.org/10.1016/j.cmpb.2025.108722
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

The impact of training image quality with a novel protocol on artificial intelligence-based LGE-MRI image segmentation for potential atrial fibrillation management

A N Kalinin, Vladimir Syrovnev, M.M. Slotvitsky, Andrey Berezhnoy et al.
Computer Methods and Programs in Biomedicine
Cardiac Imaging and Diagnostics
article

The impact of training image quality with a novel protocol on artificial intelligence-based LGE-MRI image segmentation for potential atrial fibrillation management

A N Kalinin, Vladimir Syrovnev, M.M. Slotvitsky, Andrey Berezhnoy, Konstantin Agladze, V. A. Tsvelaya, А. V. Demin, А. А. Калемберг, A.A. Aitova, Valentina S Kirillova, Alexander G Zubov, Regina Shaidullina, A. S. Selivanov, Д. А. Паршин
article en

Abstract

Standardized labeling and RIFE applications significantly improved machine learning tool efficiency for constructing 3D LA models. This novel approach supports integrating state-of-the-art machine learning methods into broader in silico pipelines for predicting ablation outcomes in AF patients.

Computer Methods and Programs in BiomedicineVol. 264
Moscow Institute of Physics and Technology (RU), ITMO University (RU), Presidential Executive Office (RU), Institute of Physics and Technology (RU), Regional Clinical Research (US), Meshalkin National Medical Research Center (RU)
Openalex Percentile: Top 93%
Cardiac Imaging and Diagnostics
DOIOpen Access PDFOpenAlex
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The impact of training image quality with a novel protocol on artificial intelligence-based LGE-MRI image segmentation for potential atrial fibrillation management — A N Kalinin, Vladimir Syrovnev, et al. · Computer Methods and Programs in Biomedicine (2025) | TGRS Research Map | TGRS