A distribution-matching approach to MRI brain tumor segmentation. - Ines Njeh; Ismail Ben Ayed; Ahmed Ben Hamida (ISBI, 2012)

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 (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 (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 (ATSIP, 2014)

A computer aided diagnosis 'CAD' for brain glioma exploration. - Ines Njeh; Lamia Sallemi; Mohamed Ben Slima; Ahmed Ben Hamida; Stéphane Lehéricy; Damien Galanaud (ATSIP, 2014)

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)

An automated MRI brain tissue segmentation approach. - Zaineb Ben Messaoud; Siwar Chnitti; Ines Njeh (ATSIP, 2016)

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 (ATSIP, 2018)

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 (ATSIP, 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)

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)

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)

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 (ATSIP, 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 (ATSIP, 2022)

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 (CW, 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., 2023)

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 (ATSIP, 2024)

An explainable AI for breast cancer classification using vision Transformer (ViT). - Marwa Naas; Hiba Mzoughi; Ines Njeh; Mohamed Ben Slima (Biomed. Signal Process. Control., 2025)

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). - Hiba Mzoughi; Ines Njeh; Mohamed Ben Slima; Nouha Farhat; Chokri Mhiri (Vis. Comput., 2025)

Deep learning based computer aided diagnosis (CAD) tool supported by explainable artificial intelligence for breast cancer exploration. - Marwa Naas; Hiba Mzoughi; Ines Njeh; Mohamed Ben Slima (Appl. Intell., 2025)