| 2025 | CVPR | Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation. | Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi |
| 2024 | ICPR | Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. | Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Vinh Truong Hoang |
| 2023 | ICASSP | Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. | Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed |
| 2023 | INISTA | Automatic Bone Metastasis Classification: An in-depth Comparison of CNN and Transformer Architectures. | Marwa Afnouch, Olfa Gaddour, Fares Bougourzi, Yosr Hentati, Abdelmalik Taleb-Ahmed, Mohamed Abid |
| 2022 | ECCV | CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans. | Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed |
| 2022 | ICIAP | ILC-Unet++ for Covid-19 Infection Segmentation. | Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid |
| 2021 | ICASSP | CNR-IEMN: A Deep Learning Based Approach to Recognise Covid-19 from CT-Scan. | Fares Bougourzi, Riccardo Contino, Cosimo Distante, Abdelmalik Taleb-Ahmed |