Toward an Efficient Deep Learning Model for Lung pathologies Detection In X-ray Images. - Abdelbaki Souid; Nizar Sakli; Hedi Sakli (IWCMC, 2022)

Efficient Thoracic aortic aneurysm detection method to prevent potential Acute Aortic Dissection. - Abdelbaki Souid; Chaker Essid; Mohamed Hamroun 001; Hedi Sakli (SSD, 2023)

Explainable CBMIR features extractor module to ease Thoracic aortic aneurysm retrieving preventing potential Acute Aortic Dissection. - Abdelbaki Souid; Soufiene Ben Othman; Mohamed Hamroun 001; Hedi Sakli; Mohamed Naceur Abdelkarim (INISTA, 2023)

Full Interpretability CBMIR to Help Minimize Radiologist Analysis Search Time. - Abdelbaki Souid; Soufiene Ben Othman; Mohamed Hamroun 001; Hedi Sakli (IWCMC, 2023)

Fast-staged CNN Model for Accurate pulmonary diseases and Lung cancer detection. - Abdelbaki Souid; Mohamed Hamroun 001; Soufiene Ben Othman; Hedi Sakli; Mohamed Naceur Abdelkarim (CoRR, 2024)

Efficient text-based query based on multi-level and deep-semantic multimedia indexing and retrieval. - Mohamed Hamroun 001; Sonia Lajmi; Maryam Jallouli; Abdelbaki Souid (Multim. Tools Appl., 2024)

Computer Aided Diagnosis CAD tool for lung and thoracic pathologies detection from chest X-ray images. - Wyssem Fathallah; Hiba Mzoughi; Sawsan Selmi; Abdelbaki Souid; Hedi Sakli (IWCMC, 2025)