Speckle reduction and segmentation in echocardiographic images: A comparative study. - Saida Khachira; Fathi Kallel; Olena Tankyevych; Ahmed Ben Hamida (IPAS, 2014)

A comparative study of motion estimation algorithms in cardiac ultrasound sequences. - Saida Khachira; Fathi Kallel; Ahmed Ben Hamida (ATSIP, 2016)

Contrast enhancement and feature extraction algorithms of finger knucle print image for personal recognition. - Sarra Hajri; Fathi Kallel; Ahmed Ben Hamida (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)

The Influence of Preprocessing Steps on Graph Theory Measures Derived from Resting State fMRI. - Fatma Gargouri; Fathi Kallel; Sebastien Delphine; Ahmed Ben Hamida; Stéphane Lehéricy; Romain Valabrègue (Frontiers Comput. Neurosci., 2018)

Finger-knuckle-print image enhancement based on brightness preserving dynamic fuzzy histogram equalization and filtering process. - Sarra Hajri; Fathi Kallel; Ahmed Ben Hamida; Amine Naït-Ali (J. Electronic Imaging, 2018)

CT scan contrast enhancement using singular value decomposition and adaptive gamma correction. - Fathi Kallel; Mouna Sahnoun; Ahmed Ben Hamida; Khalil Chtourou (Signal Image Video Process., 2018)

fMRI Imaging Based Human Brain Parcellation Methods: A review. - Fatma Abdedayem; Fathi Kallel; Marwa Chaabane 002; Ahmed Ben Hamida; Lamia Sellami (ATSIP, 2020)

A Comparative Study of Fingerprint Enhancement Algorithms. - Sarra Hajri; Fathi Kallel; Ahmed Ben Hamida; Amine Naït-Ali (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)

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)

U-NET Architecture for automatic MS lesions segmentation using MR images. - Ghofrane Ghodhbani; Mouna Sahnoun; Fathi Kallel; Patrick Siarry (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)

Epileptic Seizures Detection on EEG Signal Using Deep Learning Techniques. - Dhouha Sagga; Amira Echtioui; Rafik Khemakhem; Fathi Kallel; Ahmed Ben Hamida (ATSIP, 2022)

Skin Cancer Classification using Deep Learning Models. - Marwa Kahia; Amira Echtioui; Fathi Kallel; Ahmed Ben Hamida (ICAART (1), 2022)

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)

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)

Skin Cancer Detection Based on Transfer Learning Techniques. - Abdelkader Alrabai; Amira Echtioui; Fathi Kallel (ATSIP, 2024)

Deep Learning-based Methods for MS Lesion Segmentation: A Review. - Hanêne Ben-Abdallah; Mouna Sahnoun; Salma Sakka; Mariem Damak; Patrick Siarry; Fathi Kallel (ATSIP, 2024)

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)

Unsupervised Classification of Polarimetric SAR Images Using Bayesian Nonparametric Model and Markov Random Field. - Wassim Bdiri; Nizar Bouhlel; Stéphane Méric; Eric Pottier; Fathi Kallel (EUSIPCO, 2024)

Deep Learning Techniques for Automatic Seizure Detection in Epilepsy. - Dhouha Sagga; Amira Echtioui; Fathi Kallel (ICSOC Workshops (2), 2024)

A Bayesian Nonparametric Model for Unsupervised Change Detection of Fully Polarimetric SAR Images. - Wassim Bdiri; Nizar Bouhlel; Stéphane Méric; Eric Pottier; Fathi Kallel (IGARSS, 2024)

Retinal fundus image classification for diabetic retinopathy using transfer learning technique. - Fathi Kallel; Amira Echtioui (Signal Image Video Process., 2024)

Explainable Pre-Trained Models for Skin Cancer Classification. - Abdelkader Alrabai; Amira Echtioui; Fathi Kallel (SSD, 2025)

Comparative analysis of deep learning algorithms for seizure detection. - Dhouha Sagga; Amira Echtioui; Fathi Kallel (Multim. Tools Appl., 2025)

Explainable deep learning approaches for skin cancer diagnosis. - Abdelkader Alrabai; Amira Echtioui; Fathi Kallel (Netw. Model. Anal. Health Informatics Bioinform., 2025)