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)

Glioblastoma MRT exploration based on segmentation methods' comparison: Towards an advanced clinical aided tool. - Hana Bouchouicha; Olfa Ghribi; Ahmed Ben Hamida; Chokri Mhiri; Mariem Dammak; Kheireddine Ben Mahfoudh; Omar Kammoun (ATSIP, 2018)

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)

A comparative study of MRI contrast enhancement techniques based on Traditional Gamma Correction and Adaptive Gamma Correction: Case of multiple sclerosis pathology. - Mouna Sahnoun; Fathi Kallel; Mariem Dammak; Chokri Mhiri; Kheireddine Ben Mahfoudh; 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)

The Effect of 3d-Mri Modalities Mixture in Glioma Delimitation. - Hana Bouchouicha; Olfa Ben Sassi; Ahmed Ben Hamida; Chokri Mhiri; Mariem Dammak; Kheireddine Ben Mahfoudh (ATSIP, 2020)

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

Contrast-Enhanced Image Analysis for MRI Based Multiple Sclerosis Lesion Segmentation. - Mouna Sahnoun; Fathi Kallel; Mariem Dammak; Omar Kammoun; Chokri Mhiri; Kheireddine Ben Mahfoudh; Ahmed Ben Hamida (ATSIP, 2020)

SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features. - Omar Trigui; Sawsan Daoud; Mohamed Ghorbel; Chokri Mhiri (Comput. Intell. Neurosci., 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)

Spinal cord MRI contrast enhancement using adaptive gamma correction for patient with multiple sclerosis. - Mouna Sahnoun; Fathi Kallel; Mariem Dammak; Omar Kammoun; Chokri Mhiri; Kheireddine Ben Mahfoudh; Ahmed Ben Hamida (Signal Image Video Process., 2020)

Multi-class Motor Imagery EEG Classification using Convolution Neural Network. - Amira Echtioui; Wassim Zouch; Mohamed Ghorbel; Chokri Mhiri; Habib Hamam (ICAART (1), 2021)

Fusion Convolutional Neural Network for Multi-Class Motor Imagery of EEG Signals Classification. - Amira Echtioui; Wassim Zouch; Mohamed Ghorbel; Chokri Mhiri; Habib Hamam (IWCMC, 2021)

A Novel Ensemble Learning Approach for Classification of EEG Motor Imagery Signals. - Amira Echtioui; Wassim Zouch; Mohamed Ghorbel; Chokri Mhiri; Habib Hamam (IWCMC, 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)

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)

Combination of Volumetric and Topologic Brain Characteristics Towards a Diagnosis of Alzheimer's Disease in his Earlier Stage. - Besma Mabrouk; Nouha Bouzidi; Chokri Mhiri; Ahmed Ben Hamida (ATSIP, 2022)

Image Enhancement Techniques Applied to Magnetic Resonance Images: Multiple sclerosis. - Besma Mnassri; Amira Echtioui; Fathi Kallel; Mariem Dammak; Chokri Mhiri; Ahmed Ben Hamida (ATSIP, 2022)

Removal of eye blink artifacts from EEG signal using morphological modeling and orthogonal projection. - Omar Trigui; Sawsan Daoud; Mohamed Ghorbel; Mariem Dammak; Chokri Mhiri; Ahmed Ben Hamida (Signal Image Video Process., 2022)

A new online Arabic handwriting dataset for analyzing Parkinson's disease. - Mohammed F. Allebawi; Thameur Dhieb; Islem Jarraya; Mohamed Neji; Nouha Farhat; Emna Smaoui; Khadija Moalla; Mariem Dammak; Tarek M. Hamdani; Chokri Mhiri; Adel M. Alimi (CW, 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 (CW, 2023)

New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection. - Besma Mnassri; Amira Echtioui; Fathi Kallel; Ahmed Ben Hamida; Mariem Dammak; Chokri Mhiri; Kheireddine Ben Mahfoudh (J. Digit. Imaging, 2023)

An accurate spinal cord partition and quantification method to monitor atrophy in multiple sclerosis. - Mouna Sahnoun; Fathi Kallel; Mariem Dammak; Chokri Mhiri; Kheireddine Ben Mahfoudh; Ahmed Ben Hamida (Signal Image Video Process., 2023)

A channel-wise attention-based representation learning method for epileptic seizure detection and type classification. - Asma Baghdadi; Rahma Fourati; Yassine Aribi; Sameh S. Daoud; Mariem Dammak; Chokri Mhiri; Habib Chabchoub; Patrick Siarry; Adel M. Alimi (J. Ambient Intell. Humaniz. Comput., 2023)

MRI contrast enhancement using singular value decomposition and brightness preserving dynamic fuzzy histogram equalization applied to multiple sclerosis patients. - Besma Mnassri; Fathi Kallel; Amira Echtioui; Ahmed Ben Hamida; Mariem Dammak; Chokri Mhiri (Signal Image Video Process., 2023)

Convolutional neural network with support vector machine for motor imagery EEG signal classification. - Amira Echtioui; Wassim Zouch; Mohamed Ghorbel; Chokri Mhiri (Multim. Tools Appl., 2023)

Spinal Cord Cross Sectional Area normalization in MR Images: Case of healthy population. - Tayssir Boushila; Mouna Sahnoun; Nadia Bouattour; Mariem Damak; Chokri Mhiri; Fathi Kallel (ATSIP, 2024)

Potential of brain MRI in the diagnosis of Juvenile Myoclonic Epilepsy: An overview. - Ibtissem Boushila; Mouna Sahnoun; Sawssan Daoud; Mariem Dammak; Chokri Mhiri; Fathi Kallel (ATSIP, 2024)

A Hybrid Approach Using 2D CNN and Attention-Based LSTM for Parkinson's Disease Detection from Video. - Emna Krichene; Islem Jarraya; Thameur Dhieb; Zohra Mahfouf; Mohamed Neji; Nouha Farhat; Emna Smaoui; Tarek M. Hamdani; Mariem Damak; Chokri Mhiri; Habib Chabchoub; Khmaies Ouahada; et al. (ICCCI (1), 2024)

Parkinson's Disease Detection From Online Handwriting Based on Beta-Elliptical Approach and Fuzzy Perceptual Detector. - Mohammed F. Allebawi; Thameur Dhieb; Mohamed Neji; Nouha Farhat; Emna Smaoui; Tarek M. Hamdani; Mariem Dammak; Chokri Mhiri; Bilel Neji; Taha Beyrouthy; Adel M. Alimi (IEEE Access, 2024)

online-offline Iraquian hand-drawing dataset for early Parkinson's disease detection. - Mohammed F. Allebawi; Thameur Dhieb; Mohamed Neji; Nouha Farhat; Tarek M. Hamdani; Mariem Damak; Chokri Mhiri; Adel M. Alimi (IEEE DataPort, 2024)

A novel approach to perform linear discriminant analyses for a 4-way alzheimer's disease diagnosis based on an integration of pearson's correlation coefficients and empirical cumulative distribution function. - Besma Mabrouk; Ahmed Ben Hamida; Noura Mabrouki; Nouha Bouzidi; Chokri Mhiri (Multim. Tools Appl., 2024)

Automated identification and localization of interictal epileptiform discharges: leveraging morphological analysis, five-criterion fulfillment, and machine learning approach. - Omar Trigui; Sawsan Daoud; Mohamed Ghorbel; Mariem Dammak; Chokri Mhiri; Ahmed Ben Hamida (J. Supercomput., 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)