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2020 – today
- 2024
[c12]Feriel Amor, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima:
Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning. ATSIP 2024: 249-254- 2023
- [j5]Hiba Mzoughi
, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida:
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging. Multim. Tools Appl. 82(25): 39303-39325 (2023) - [c11]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Nouha Farhat, Chokri Mhiri:
Deep Transfer Learning (DTL) Based-Framework for an Accurate Multi-classification of MRI Brain Tumors. CW 2023: 86-93 - 2022
- [c10]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning. ATSIP 2022: 1-6 - [c9]Marwa Nass, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida:
Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI. ATSIP 2022: 1-6 - 2021
- [j4]Ines Njeh, Hiba Mzoughi, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh:
Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction. Medical Biol. Eng. Comput. 59(7-8): 85-106 (2021) - [j3]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kheireddine Ben Mahfoudh:
Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures. Multim. Tools Appl. 80(1): 899-919 (2021) - 2020
- [j2]Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri, Kharedine Ben Mahfoudhe:
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification. J. Digit. Imaging 33(4): 903-915 (2020) - [c8]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs). ATSIP 2020: 1-6
2010 – 2019
- 2018
- [c7]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study. ATSIP 2018: 1-6 - 2016
- [c6]Zaineb Ben Messaoud, Siwar Chnitti, Ines Njeh:
An automated MRI brain tissue segmentation approach. ATSIP 2016: 370-374 - 2015
- [j1]Ines Njeh, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stéphane Lehéricy, Damien Galanaud, Ahmed Ben Hamida:
3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach. Comput. Medical Imaging Graph. 40: 108-119 (2015) - 2014
- [c5]Fatma Gargouri, Ines Njeh, Ahmed Ben Hamida, Khalil Chtourou:
Automatic localization methodology dedicated to brain tumors based on ICP matching by using axial MRI symmetry. ATSIP 2014: 209-213 - [c4]Abdelkhalek Bakkari, Ezzedine Ben Braiek, Ines Njeh, Ahmed Ben Hamida:
Automatic brain MR perfusion image segmentation using adaptive diffusion flow active contours based on Modified Fuzzy C Means. ATSIP 2014: 214-218 - [c3]Ines Njeh, Lamia Sallemi, Mohamed Ben Slima, Ahmed Ben Hamida, Stéphane Lehéricy, Damien Galanaud:
A computer aided diagnosis 'CAD' for brain glioma exploration. ATSIP 2014: 243-248 - [c2]Olfa Ghribi, Ines Njeh, Ahmed Ben Hamida, Wassim Zouch, Chokri Mhiri:
Brief review of multiple sclerosis lesions segmentation methods on conventional magnetic resonance imaging. ATSIP 2014: 249-253 - 2012
- [c1]Ines Njeh, Ismail Ben Ayed, Ahmed Ben Hamida:
A distribution-matching approach to MRI brain tumor segmentation. ISBI 2012: 1707-1710
Coauthor Index
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