Ines Njeh

According to our database, Ines Njeh authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning.

Feriel Amor, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023

Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida

Multim. Tools Appl., October, 2023

Deep Transfer Learning (DTL) Based-Framework for an Accurate Multi-classification of MRI Brain Tumors.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Nouha Farhat, Chokri Mhiri

Proceedings of the International Conference on Cyberworlds, 2023

2022

Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI.

Marwa Nass, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021

Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh

Multim. Tools Appl., 2021

Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction.

Ines Njeh, Hiba Mzoughi, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh

Medical Biol. Eng. Comput., 2021

2020

Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.

Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kharedine Ben Mahfoudhe

J. Digit. Imaging, 2020

Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs).

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida

Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2018

Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study.

Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida

Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2016

An automated MRI brain tissue segmentation approach.

Zaineb Ben Messaoud, Siwar Chnitti, Ines Njeh

Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015

3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach.

Ines Njeh, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stéphane Lehéricy, Damien Galanaud, Ahmed Ben Hamida

Comput. Medical Imaging Graph., 2015

2014

A computer aided diagnosis 'CAD' for brain glioma exploration.

Ines Njeh, Lamia Sallemi, Mohamed Ben Slima, Ahmed Ben Hamida, Stéphane Lehéricy, Damien Galanaud

Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

Brief review of multiple sclerosis lesions segmentation methods on conventional magnetic resonance imaging.

Olfa Ghribi, Ines Njeh, Ahmed Ben Hamida, Wassim Zouch, Chokri Mhiri

Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

Automatic localization methodology dedicated to brain tumors based on ICP matching by using axial MRI symmetry.

Fatma Gargouri, Ines Njeh, Ahmed Ben Hamida, Khalil Chtourou

Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

Automatic brain MR perfusion image segmentation using adaptive diffusion flow active contours based on Modified Fuzzy C Means.

Abdelkhalek Bakkari, Ezzedine Ben Braiek, Ines Njeh, Ahmed Ben Hamida

Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2012

A distribution-matching approach to MRI brain tumor segmentation.

Ines Njeh, Ismail Ben Ayed, Ahmed Ben Hamida

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012