12 Dec 20242cites
Improved Two-Stage Transfer Learning Approach for ViT-Based Myocardial Infarction DetectionPublisher siteArabian Journal for Science and Engineering, Radiomics and Machine Learning in Medical Imaging
Active, last published 2026
In advanced image fusion techniques
Hajer
Ouerghi
Scholar“Research focused on Advanced Image Fusion Techniques and adjacent fields.”
University of Tunis El Manar
Tunisia
Claim Your ProfileTunisia3
H-index
94
Citations
Hajer has not officially claimed their profile. If you are Hajer, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
ajer Ouerghi is a researcher working on Advanced Image Fusion Techniques. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Hajer's work has been cited 94 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 Image Fusion Techniques×4Medical Image Segmentation Techniques×2Remote-Sensing Image Classification×2Image Enhancement Techniques×2Radiomics and Machine Learning in Medical Imaging×2
04 · Where I am
Affiliations
Affiliation on published researchTunis El Manar University, TunisiaDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
3 works1 Jan 2024
Cerebral Cortex Extraction Methods Based on a Priori Knowledge for T1-Weighted MRI ImagesPublisher siteCommunications in computer and information science, Brain Tumor Detection and Classification
20 Sept 2023
Generalized Multi-modal Medical Image Fusion Method using NSML and WLF in NSST Domain and YIQ color spacePublisher siteExpert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Hajer?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you