Fusion of transformed shallow features for facial expression recognition. - Fares Bougourzi; Karim Mokrani; Yassine Ruichek; Fadi Dornaika; Abdelkrim Ouafi; Abdelmalik Taleb-Ahmed (IET Image Process., 2019)

Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition. - Fares Bougourzi; Fadi Dornaika; Karim Mokrani; Abdelmalik Taleb-Ahmed; Yassine Ruichek (Expert Syst. Appl., 2020)

CNR-IEMN: A Deep Learning Based Approach to Recognise Covid-19 from CT-Scan. - Fares Bougourzi; Riccardo Contino; Cosimo Distante; Abdelmalik Taleb-Ahmed (ICASSP, 2021)

Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans. - Fares Bougourzi; Cosimo Distante; Abdelkrim Ouafi; Fadi Dornaika; Abdenour Hadid; Abdelmalik Taleb-Ahmed (J. Imaging, 2021)

Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification. - Emanuela Paladini; Edoardo Vantaggiato; Fares Bougourzi; Cosimo Distante; Abdenour Hadid; Abdelmalik Taleb-Ahmed (J. Imaging, 2021)

Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN. - Fares Bougourzi; Riccardo Contino; Cosimo Distante; Abdelmalik Taleb-Ahmed (Sensors, 2021)

COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases. - Edoardo Vantaggiato; Emanuela Paladini; Fares Bougourzi; Cosimo Distante; Abdenour Hadid; Abdelmalik Taleb-Ahmed (Sensors, 2021)

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 (ECCV Workshops (7), 2022)

ILC-Unet++ for Covid-19 Infection Segmentation. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid (ICIAP Workshops, 2022)

Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed (CoRR, 2022)

Deep learning based face beauty prediction via dynamic robust losses and ensemble regression. - Fares Bougourzi; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Knowl. Based Syst., 2022)

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 (ICASSP Workshops, 2023)

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 (INISTA, 2023)

2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Cosimo Distante; Abdelmalik Taleb-Ahmed (CoRR, 2023)

D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed (CoRR, 2023)

Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review. - Mohamed Fadhlallah Guerri; Cosimo Distante; Paolo Spagnolo; Fares Bougourzi; Abdelmalik Taleb-Ahmed (CoRR, 2023)

CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression. - Fares Bougourzi; Fadi Dornaika; Nagore Barrena; Cosimo Distante; Abdelmalik Taleb-Ahmed (Appl. Intell., 2023)

PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Medical Image Anal., 2023)

BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach. - Marwa Afnouch; Olfa Gaddour; Yosr Hentati; Fares Bougourzi; Mohamed Abid; Ihsen Alouani; Abdelmalik Taleb-Ahmed (Expert Syst. Appl., 2023)

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 (ICPR (4), 2024)

Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Abdelmalik Taleb-Ahmed (Artif. Intell. Rev., 2024)

D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images. - Fares Bougourzi; Fadi Dornaika; Cosimo Distante; Abdelmalik Taleb-Ahmed (Comput. Biol. Medicine, 2024)

Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. - Fares Bougourzi; Féryal Windal Moulaï; Halim Benhabiles; Fadi Dornaika; Abdelmalik Taleb-Ahmed (CoRR, 2024)

Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach. - Mohamed Fadhlallah Guerri; Cosimo Distante; Paolo Spagnolo; Fares Bougourzi; Abdelmalik Taleb-Ahmed (CoRR, 2024)

Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. - Fares Bougourzi; Fadi Dornaika; Chongsheng Zhang (CoRR, 2024)

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid; Suman Chaudhary; Wanting Yang; Yan Qiang; Talha Anwar; Mihaela Elena Breaban; Chih-Chung Hsu; Shen-Chieh Tai; et al. (Sensors, 2024)

Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation. - Bouthaina Slika; Fadi Dornaika; Fares Bougourzi; Karim Hammoudi (CVPR Workshops, 2025)

Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges. - Marwa Afnouch; Fares Bougourzi; Olfa Gaddour; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Comput. Biol. Medicine, 2025)

Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging. - Fadi Abdeladhim Zidi; Abdelkrim Ouafi; Fares Bougourzi; Cosimo Distante; Abdelmalik Taleb-Ahmed (Comput. Electron. Agric., 2025)

Recent Advances in Medical Imaging Segmentation: A Survey. - Fares Bougourzi; Abdenour Hadid (CoRR, 2025)

PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders. - Bouthaina Slika; Fadi Dornaika; Fares Bougourzi; Karim Hammoudi (IEEE Trans. Big Data, 2025)