Automated EEG Artifact Detection Using Independent Component Analysis. - Amira Echtioui; Wassim Zouch; Mohamed Ghorbel; Mohamed Ben Slima; Ahmed Ben Hamida; Chokri Mhiri (ATSIP, 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 Learning for Seizure Prediction Using Intracranial Electroencephalogram. - Nourane Abderrahim; Amira Echtioui; Rafik Khemakhem; Wassim Zouch; Mohamed Ghorbel; Inès Kammoun 002; Ahmed Ben Hamida (ATSIP, 2022)

Multiple Sclerosis Segmentation using Deep Learning Models : Comparative Study. - Abdelkader Alrabai; Amira Echtioui; Ahmed Ben Hamida (ATSIP, 2022)

Deep Learning Models for Classification of Motor Imagery EEG Signals. - Sana Belgacem; Amira Echtioui; Rafik Khemakhem; Wassim Zouch; Mohamed Ghorbel; Inès Kammoun 002; Ahmed Ben Hamida (ATSIP, 2022)

Lung Disease Detection in Chest X-ray Images Using Transfer Learning. - Ines Chouat; Amira Echtioui; Rafik Khemakhem; Wassim Zouch; Mohamed Ghorbel; 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)

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)

EEG Motor Imagery Classification using Fusion Convolutional Neural Network. - Wassim Zouch; Amira Echtioui (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)

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)

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

Transfer Learning Models for MRI-Based Brain Tumor Detection. - Moriba Bérété; Amira Echtioui; Lamia Sellami; Ahmed Ben Hamida (ATSIP, 2024)

Explainable AI Framework for Alzheimer's Diagnosis Using Convolutional Neural Networks. - Dhekra Mansouri; Amira Echtioui; Rafik Khemakhem; Ahmed Ben Hamida (ATSIP, 2024)

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

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

Epileptic Seizures Detection Using iEEG Signals and Deep Learning Models. - Nourane Abderrahim; Amira Echtioui; Rafik Khemakhem; Wassim Zouch; Mohamed Ghorbel; Ahmed Ben Hamida (Circuits Syst. Signal Process., 2024)

Automated detection of COVID-19 based on transfer learning. - Amira Echtioui; Yassine Ben Ayed (Multim. Tools Appl., 2024)

Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models. - Rafik Khemakhem; Sana Belgacem; Amira Echtioui; Mohamed Ghorbel; Ahmed Ben Hamida; Inès Kammoun 002 (SN Comput. Sci., 2024)

Automated diabetic retinopathy screening using deep learning. - Sarra Guefrachi; Amira Echtioui; Habib Hamam (Multim. Tools Appl., 2024)

Explainable AI Techniques with VGG-16 for Detecting COVID-19. - Aicha Akrout; Amira Echtioui; Mohamed Ghorbel (SSD, 2025)

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

Lung Disease Classification in X-ray Images using a Modified Deep Convolutional Neural Networks. - Ines Chouat; Amira Echtioui; Mohamed Ghorbel (SSD, 2025)

Merged CNNs for the classification of EEG motor imagery signals. - Amira Echtioui; Wassim Zouch; Mohamed Ghorbel (Multim. Tools Appl., 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)