| 2025 | IWCMC | 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 |
| 2024 | ATSIP | Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning. | Feriel Amor, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima |
| 2024 | ATSIP | Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis. | Khouloud Elbedoui, Hiba Mzoughi, Mohamed Ben Slima |
| 2023 | CW | EXplainable Artificial Intelligence (XAI) for MRI brain tumor diagnosis: A survey. | Hana Charaabi, Hiba Mzoughi, Ridha El Hamdi, Mohamed Njah |
| 2023 | CW | 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 |
| 2022 | ATSIP | Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning. | Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida |
| 2022 | ATSIP | Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI. | Marwa Nass, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida |
| 2020 | ATSIP | Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs). | Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida |
| 2018 | ATSIP | Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study. | Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida |