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)

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)

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)