2023Open access32cites
A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRIProcedia Computer Science, Advanced Neural Network Applications
Active, last published 2026
In cardiac imaging and diagnostics
Wafa
Baccouch
“Research focused on Cardiac Imaging and Diagnostics and adjacent fields.”
Tunis El Manar UniversityTunisia
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Claim Your Profile01 · About the work
What I study
afa Baccouch is a researcher working on Cardiac Imaging and Diagnostics. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Wafa's work has been cited 169 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Cardiac Imaging and Diagnostics×6Advanced MRI Techniques and Applications×5Cardiovascular Function and Risk Factors×5Natural Fiber Reinforced Composites×3Textile materials and evaluations×3
06 · Where I am
Affiliations
CurrentlyTunis University, Tunisia
Research themes (UN SDGs)
07 · Selected work
Recent publications
View all 18 works2023Open access5cites
Automatic Left Ventricle Segmentation from Short-Axis MRI Images Using U-Net with Study of the Papillary Muscles’ Removal EffectJournal of Medical and Biological Engineering, Medical Image Segmentation Techniques
2024Open access3cites
Convolution Neural Network for Objective Myocardial Viability Assessment Based on Regional Wall Thickness Quantification From Cine-MR ImagesIEEE Access, Cardiac Imaging and Diagnostics
20243cites
Automatic left ventricle volume and mass quantification from 2D cine-MRI: Investigating papillary muscle influenceMedical Engineering & Physics, Medical Image Segmentation Techniques
2025Open access1cites
Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy SeverityJournal of Imaging, Cardiovascular Function and Risk Factors
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