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Ines Njeh
Observed names:
I. Njeh,
Ines Njeh Ahmed Ben Hamida
Institution:
University of Gabès
Observed institutions:
University of Sfax,
National School of Electronics and Telecommunications of Sfax, Tunisia,
University of Gabès
ORCID:
0000-0001-9538-8404
Observed ORCID:
0000-0001-9538-8404
OpenAlex ID:
A5006526622
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification
2020
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
Journal of Imaging Informatics in Medicine
·
388
Vision transformers (ViT) and deep convolutional neural network (D-CNN)-based models for MRI brain primary tumors images multi-classification supported by explainable artificial intelligence (XAI)
2024
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
The Visual Computer
·
67
3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach
2014
·
Ines Njeh
, Lamia Sallemi
, et al.
·
Computerized Medical Imaging and Graphics
·
61
Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study
2018
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
31
Denoising and contrast-enhancement approach of magnetic resonance imaging glioblastoma brain tumors
2019
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
Journal of medical imaging
·
22
Towards a Computer Aided Prognosis for Brain Glioblastomas Tumor Growth Estimation
2015
·
Lamia Sallemi
, Ines Njeh
, et al.
·
IEEE Transactions on NanoBioscience
·
22
Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures
2020
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
Multimedia Tools and Applications
·
21
An explainable AI for breast cancer classification using vision Transformer (ViT)
2025
·
Marwa Naas
, Hiba Mzoughi
, et al.
·
Biomedical Signal Processing and Control
·
20
Speckle noise reduction in breast ultrasound images: SMU (SRAD median unsharp) approch
2011
·
I. Njeh
, O. B. Sassi
, et al.
·
International Multi-Conference on Systems, Signals & Devices (SSD)
·
20
Deep learning based computer aided diagnosis (CAD) tool supported by explainable artificial intelligence for breast cancer exploration
2025
·
Marwa Naas
, Hiba Mzoughi
, et al.
·
Applied Intelligence
·
13
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging
2023
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
Multimedia Tools and Applications
·
12
PDF
Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning
2022
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
12
Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs)
2020
·
Hiba Mzoughi
, Ines Njeh
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
11
A computer aided diagnosis ‘CAD’ for brain glioma exploration
2014
·
Ines Njeh
, Lamia Sallemi
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
10
Brief review of multiple sclerosis lesions segmentation methods on conventional magnetic resonance imaging
2014
·
Olfa Ghribi
, Ines Njeh
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
9
Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction
2020
·
Ines Njeh
, Hiba Mzoughi
, et al.
·
Medical & Biological Engineering & Computing
·
8
A distribution-matching approach to MRI brain tumor segmentation
2012
·
Ines Njeh
, Ismail Ben Ayed
, et al.
·
IEEE International Symposium on Biomedical Imaging (ISBI)
·
8
An automated MRI brain tissue segmentation approach
2016
·
Zaineb B. Messaoud
, Siwar Chnitti
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
5
Automatic localization methodology dedicated to brain tumors based on ICP matching by using axial MRI symmetry
2014
·
Fatma Gargouri
, Ines Njeh Ahmed Ben Hamida
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
5
Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI
2022
·
Marwa Nass
, Hiba Mzoughi
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
3
Automatic brain MR perfusion image segmentation using adaptive diffusion flow active contours based on Modified Fuzzy C Means
2014
·
Abdelkhalek Bakkari
, Ezzedine Ben Braiek
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
3
An accurate framework based on transformer networks for breast cancer classification using histopathological image
2025
·
Marwa Naas
, Hiba Mzoughi
, et al.
·
Network Modeling Analysis in Health Informatics and Bioinformatics
·
2
Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning
2024
·
Feriel Amor
, Hiba Mzoughi
, et al.
·
International Conference on Advanced Technologies for Signal and Image Processing
·
2
Relative Ectopic Kidney Function Quantification Using DMSA Tomoscintigraphy Modality
2020
·
Ines Njeh
, Kalil Chtourou
, et al.
·
Journal of Healthcare Engineering
·
2
PDF
Rank-Two NMF Clustering for Glioblastoma Characterization
2018
·
Aymen Bougacha
, Ines Njeh
, et al.
·
Journal of Healthcare Engineering
·
2
PDF
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Works count:
28
Citation count:
761
H-index:
12
I10-index:
14
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