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Wafa Baccouch
Affiliation : Tunis University · Tunis El Manar University
- 16Publications (affiliation in Tunisia)
- 17Total publications
- 69Citations
- 4h-index
Research profile
Wafa Baccouch has 16 indexed publications (2016–2026). Their work appears mainly in “Procedia Computer Science”, “Lecture notes in networks and systems” and “International Conference on Advanced Technologies for Signal and Image Processing”. Their most cited article, “A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRI” (2023), has been cited 34 times. 8 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in France.
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Create my free profile Add my publicationsResearch areas
- Cardiac Imaging and Diagnostics
- Medical Image Segmentation Techniques
- Cardiovascular Function and Risk Factors
- Artificial Intelligence in Healthcare
- ECG Monitoring and Analysis
Publications (16)
- Deep Learning Based-Methods For Cardiovascular Disease Prediction: Comparative Analysis, Advances, and Future Directions
- A Hybrid Meta-Learning Framework Integrating ECG, Cine-MRI, and Biomarkers for Heart Failure Prediction
- Advancements in T1 Mapping for Cardiac MRI: Comprehensive Review of Techniques, Clinical Applications, Artificial Intelligence Integration, and Future Perspectives
- Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity
- Heart Failure Prediction: Performance Evaluation and Comparative Analysis of Machine Learning Algorithms
- An Improved Computational Model Based on Cardiac Imaging Data for the Quantitative and Qualitative Assessment of the Mechanical Properties of the Human Left Ventricle
- Automatic left ventricle volume and mass quantification from 2D cine-MRI: Investigating papillary muscle influence
- Convolution Neural Network for Objective Myocardial Viability Assessment Based on Regional Wall Thickness Quantification From Cine-MR Images
- A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRI
- Automatic Left Ventricle Segmentation from Short-Axis MRI Images Using U-Net with Study of the Papillary Muscles’ Removal Effect
- Quantification automatique de la fonction ventriculaire gauche en IRM pour l’aide au diagnostic des anomalies de contraction cardiaque
- Automatic delineation of left ventricle contours in MRI using deep learning
- Automatic Regional Estimation of Myocardial Strain Using Deep Learning
- Quantification of left ventricular function in MRI: a review of current approaches
- Preparation, characterization and evaluation of the catalytic power of an hybrid compound [H 3 PMo 12 O 40 -chitosan] for the azoic-colored solutions
- Removal of a wide range of dyes using 4-methyl-2-(naphthalen-2-yl)-N-propylpentanamide-functionalized ethoxy-silica and raw silica
Publication venues
- Procedia Computer Science × 2
- Lecture notes in networks and systems × 2
- International Conference on Advanced Technologies for Signal and Image Processing × 2
- Journal of the Textile Institute × 2
- Technologies × 1
- Current Cardiology Reviews × 1
Publications per year
- 20263
- 20253
- 20242
- 20233
- 20221
- 20211
- 20201
- 20171
- 20161
Collaborations
Partner institutions : University of Monastir · Ecole Nationale d'Ingénieurs de Monastir · Military Hospital of Tunis · Faculté de médecine de Tunis · École Nationale d'Ingénieurs de Metz
Co-authors’ countries : France
Co-authors
- Salam Labidi
- Narjes Benameur
- Sameh Oueslati
- Dhaker Lahidheb
- Mohamed Hamdaoui
- Abderrazak Jemai
- Moncef Aloui
- Faouzi Aloui
- Mahjoub Jabli
- Rania Awadi
- Amani Kallel
- Béchir Ben Hassine
Bibliographic data from OpenAlex (open database).
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