Fares Bougourzi

38 papers C 1Misc 1Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding Matters: Efficient Mamba-Based Decoder with Distribution-Aware Deep Supervision for Medical Image Segmentation. CoRR Fares Bougourzi, Fadi Dornaika, Abdenour Hadid
2025	J	`jnl`	Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging. CoRR Fadi Abdeladhim Zidi, Abdelkrim Ouafi, Fares Bougourzi, Cosimo Distante, Abdelmalik Taleb-Ahmed
2025	J	`jnl`	Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging. Comput. Electron. Agric. Fadi Abdeladhim Zidi, Abdelkrim Ouafi, Fares Bougourzi, Cosimo Distante, Abdelmalik Taleb-Ahmed
2025	J	`jnl`	Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges. Comput. Biol. Medicine Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2025	J	`jnl`	Lung Infection Severity Prediction Using Transformers with Conditional TransMix Augmentation and Cross-Attention. CoRR Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi
2025	J	`jnl`	MambaCAFU: Hybrid Multi-Scale and Multi-Attention Model with Mamba-Based Fusion for Medical Image Segmentation. CoRR T.-Mai Bui, Fares Bougourzi, Fadi Dornaika, Vinh Truong Hoang
2025	J	`jnl`	PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders. IEEE Trans. Big Data Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi
2025	J	`jnl`	Recent Advances in Medical Imaging Segmentation: A Survey. CoRR Fares Bougourzi, Abdenour Hadid
2025	—	`conf`	Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation. CVPR Workshops Bouthaina Slika, Fadi Dornaika, Fares Bougourzi, Karim Hammoudi
2024	J	`jnl`	Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges. CoRR Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2024	J	`jnl`	Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach. CoRR Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed
2024	J	`jnl`	COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 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, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato
2024	J	`jnl`	D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images. CoRR Fares Bougourzi, Fadi Dornaika, Cosimo Distante, Abdelmalik Taleb-Ahmed
2024	J	`jnl`	D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images. Comput. Biol. Medicine Fares Bougourzi, Fadi Dornaika, Cosimo Distante, Abdelmalik Taleb-Ahmed
2024	J	`jnl`	Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. Artif. Intell. Rev. Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed
2024	J	`jnl`	Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. CoRR Fares Bougourzi, Féryal Windal Moulaï, Halim Benhabiles, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2024	J	`jnl`	Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. CoRR Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang
2024	—	`conf`	Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. ICPR (4) Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Vinh Truong Hoang
2024	J	`jnl`	Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. CoRR Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Vinh Truong Hoang
2023	J	`jnl`	2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. CoRR Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed
2023	C	`conf`	Automatic Bone Metastasis Classification: An in-depth Comparison of CNN and Transformer Architectures. INISTA Marwa Afnouch, Olfa Gaddour, Fares Bougourzi, Yosr Hentati, Abdelmalik Taleb-Ahmed, Mohamed Abid
2023	J	`jnl`	BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach. Expert Syst. Appl. Marwa Afnouch, Olfa Gaddour, Yosr Hentati, Fares Bougourzi, Mohamed Abid, Ihsen Alouani, Abdelmalik Taleb-Ahmed
2023	J	`jnl`	CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression. Appl. Intell. Fares Bougourzi, Fadi Dornaika, Nagore Barrena, Cosimo Distante, Abdelmalik Taleb-Ahmed
2023	J	`jnl`	D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation. CoRR Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2023	J	`jnl`	Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review. CoRR Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed
2023	—	`conf`	Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. ICASSP Workshops Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed
2023	J	`jnl`	PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans. Medical Image Anal. Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2022	—	`conf`	CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans. ECCV Workshops (7) Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2022	J	`jnl`	Deep learning based face beauty prediction via dynamic robust losses and ensemble regression. Knowl. Based Syst. Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2022	J	`jnl`	Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan. CoRR Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed
2022	—	`conf`	ILC-Unet++ for Covid-19 Infection Segmentation. ICIAP Workshops Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid
2021	Misc	`conf`	CNR-IEMN: A Deep Learning Based Approach to Recognise Covid-19 from CT-Scan. ICASSP Fares Bougourzi, Riccardo Contino, Cosimo Distante, Abdelmalik Taleb-Ahmed
2021	J	`jnl`	COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases. Sensors Edoardo Vantaggiato, Emanuela Paladini, Fares Bougourzi, Cosimo Distante, Abdenour Hadid, Abdelmalik Taleb-Ahmed
2021	J	`jnl`	Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans. J. Imaging Fares Bougourzi, Cosimo Distante, Abdelkrim Ouafi, Fadi Dornaika, Abdenour Hadid, Abdelmalik Taleb-Ahmed
2021	J	`jnl`	Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN. Sensors Fares Bougourzi, Riccardo Contino, Cosimo Distante, Abdelmalik Taleb-Ahmed
2021	J	`jnl`	Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification. J. Imaging Emanuela Paladini, Edoardo Vantaggiato, Fares Bougourzi, Cosimo Distante, Abdenour Hadid, Abdelmalik Taleb-Ahmed
2020	J	`jnl`	Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition. Expert Syst. Appl. Fares Bougourzi, Fadi Dornaika, Karim Mokrani, Abdelmalik Taleb-Ahmed, Yassine Ruichek
2019	J	`jnl`	Fusion of transformed shallow features for facial expression recognition. IET Image Process. Fares Bougourzi, Karim Mokrani, Yassine Ruichek, Fadi Dornaika, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed