Improvement of stereo disparity estimation through balanced filtering: the sliding-block approach. - Mohamed Ben Slima; Janusz Konrad; Andrzej Barwicz (IEEE Trans. Circuits Syst. Video Technol., 1997)

Calibration of a microwave system for measuring grain moisture content. - Mohamed Ben Slima; Roman Z. Morawski; Andrzej W. Kraszewski; Andrzej Barwicz; Stuart O. Nelson (IEEE Trans. Instrum. Meas., 1999)

Signal processing support for the evaluation of blood toxic oxidation activity. - Andrzej Barwicz; Mohamed Ben Slima; Joanna Barwicz; Pierre Tancrede (IEEE Trans. Instrum. Meas., 2000)

Algorithmic specification of a specialized processor for spectrometric applications. - Mohamed Ben Slima; Leszek Szczecinski; Daniel Massicotte; Roman Z. Morawski; Andrzej Barwicz (IEEE Trans. Instrum. Meas., 2000)

PDM Control Optimisation Applied to an AC/AC Converter Using an Improved Genetic Algorithm. - H. Benkaci Ali; Ahmed Chériti; Mohammed Ben Slima; Abdelhalim Sandali (CCECE, 2006)

Three-Level Hysteresis Power Control for Pulse-Density-Modulated Series Resonant Converters. - Demian Pimentel; Ahmed Chériti; Mohammed Ben Slima (CCECE, 2006)

Advanced approach for PET breast cancer segmentation based on FAMIS methodology. - Ines Ketata; Lamia Sallemi; Mohamed Ben Slima; Ahmed Ben Hamida; Frédéric Morain-Nicolier; Su Ruan; Alexandre Cochet; Khalil Chtourou (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)

Multi-slices breast ultrasound lesion segmentation using Multi-Scale Vector Field Convolution snake. - Olfa Ben Sassi; Lamia Sellami; Mohamed Ben Slima; Ahmed Ben Hamida; Khalil Chtourou (ATSIP, 2014)

Factor analysis-based approach for early uptake automatic quantification of breast cancer by 18F-FDG PET images sequence. - Ines Ketata; Lamia Sallemi; Frédéric Morain-Nicolier; Mohamed Ben Slima; Alexandre Cochet; Khalil Chtourou; Su Ruan; Ahmed Ben Hamida (Biomed. Signal Process. Control., 2014)

High-resolution imaging-guided electroencephalography source localization: temporal effect regularization incorporation in LORETA inverse solution. - Jihene Boughariou; Wassim Zouch; Mohamed Ben Slima; Inès Kammoun 002; Ahmed Ben Hamida (J. Electronic Imaging, 2015)

Fault detection of chemical processes using KPCA-based GLRT technique. - Raoudha Baklouti; Majdi Mansouri; Hazem N. Nounou; Mohamed N. Nounou; Mohamed Ben Slima; Ahmed Ben Hamida (ATSIP, 2017)

Fault detection in a wastewater treatment plant. - Imen Baklouti; Majdi Mansouri; Hazem N. Nounou; Mohamed Ben Slima; Ahmed Ben Hamida (ATSIP, 2017)

Damage detection in structural health monitoring using kernel PLS based GLR. - Marwa Chaabane 002; Majdi Mansouri; Hazem N. Nounou; Mohamed N. Nounou; Mohamed Ben Slima; Ahmed Ben Hamida (ATSIP, 2017)

Comparative study of supervised and unsupervised classification methods: Application to automatic MRI glioma brain tumors segmentation. - Aymen Bougacha; Jihene Boughariou; Mohamed Ben Slima; Ahmed Ben Hamida; Khaireddine Ben Mahfoudh; Omar Kammoun; Chokri Mhiri (ATSIP, 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 (ATSIP, 2018)

Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction. - Olfa Ghribi; Lamia Sellami; Mohamed Ben Slima; Chokri Mhiri; Mariem Dammak; Ahmed Ben Hamida (Biomed. Signal Process. Control., 2018)

Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system. - Olfa Ghribi; Amira Maalej; Lamia Sellami; Mohamed Ben Slima; Mohamed Ayman Maalej; Khaireddine Ben Mahfoudh; Mariem Dammak; Chokri Mhiri; Ahmed Ben Hamida (Biomed. Signal Process. Control., 2019)

Bispectral analysis-based approach for steady-state visual evoked potentials detection. - Omar Trigui; Wassim Zouch; Mohamed Ben Slima; Mohamed Ben Messaoud (Multim. Tools Appl., 2019)

Automated EEG Artifact Detection Using Independent Component Analysis. - Amira Echtioui; Wassim Zouch; Mohamed Ghorbel; Mohamed Ben Slima; Ahmed Ben Hamida; Chokri Mhiri (ATSIP, 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 (ATSIP, 2020)

Face Emotion Recognition From Static Image Based on Convolution Neural Networks. - M. A. Nasri; Mohamed Amine Hmani; Aymen Mtibaa; Dijana Petrovska-Delacrétaz; 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)

Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis. - Khouloud Elbedoui; Hiba Mzoughi; Mohamed Ben Slima (ATSIP, 2024)

An XAI-Infused Multiclass MRI Brain Tumor Classification using Deep Transfert Learning (DTL). - Hana Charaabi; Amal Sayari; Ridha El Hamdi; Mohamed Njah; Mohamed Ben Slima (CoDIT, 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)