Cardiovascular Anomaly Detection Using Deep Learning Techniques. - Wassim Sliti; Seif Eddine Ben Abdelali; Aymen Yahyaoui; Amine Mosbah; Olfa Djebbi (MEDI, 2023)

A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture. - Chaima Dachraoui; Aymen Mouelhi; Amine Mosbeh; Wassim Sliti; Cyrine Drissi; Basel Solaiman; Salam Labidi (Multim. Tools Appl., 2024)

Drone-guard: A self-supervised deep learning framework for real-time spatiotemporal anomaly detection in UAV surveillance systems. - Wassim Sliti; Olfa Besbes (Neurocomputing, 2025)