Fares Bougourzi

According to our database, Fares Bougourzi authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato

Sensors, March, 2024

Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild.

Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang

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

Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges.

Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed

CoRR, 2024

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

CoRR, 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

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

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

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., October, 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., May, 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., May, 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

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

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

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

Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

ILC-Unet++ for Covid-19 Infection Segmentation.

Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

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

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

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

CNR-IEMN: A Deep Learning Based Approach to Recognise Covid-19 from CT-Scan.

Fares Bougourzi, Riccardo Contino, Cosimo Distante, Abdelmalik Taleb-Ahmed

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

2019

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