28 Mar 20243cites
Automatic left ventricle volume and mass quantification from 2D cine-MRI: Investigating papillary muscle influencePublisher siteMedical Engineering & Physics, Medical Image Segmentation Techniques
Active, last published 2026
In advanced steganography and watermarking techniques
Sameh
Oueslati
Scholar“Research focused on Advanced Steganography and Watermarking Techniques and adjacent fields.”
University of Tunis El Manar
Tunisia
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01 · About the work
What I study
ameh Oueslati is a researcher working on Advanced Steganography and Watermarking Techniques. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Sameh's work has been cited 63 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Advanced Steganography and Watermarking Techniques×11Medical Image Segmentation Techniques×4Cardiac Imaging and Diagnostics×4Vehicle License Plate Recognition×4Advanced MRI Techniques and Applications×3
04 · Where I am
Affiliations
Affiliation on published researchTunis University, TunisiaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
3 works26 May 2023Open access5cites
Automatic Left Ventricle Segmentation from Short-Axis MRI Images Using U-Net with Study of the Papillary Muscles’ Removal EffectPublisher siteJournal of Medical and Biological Engineering, Medical Image Segmentation Techniques
1 Jan 2023Open access32cites
A comparative study of CNN and U-Net performance for automatic segmentation of medical images: application to cardiac MRIPublisher siteProcedia Computer Science, Advanced Neural Network Applications
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