Fares Bougourzi
Orcid: 0000-0001-5077-4862
According to our database1,
Fares Bougourzi
authored at least 31 papers
between 2019 and 2025.
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Bibliography
2025
PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders.
IEEE Trans. Big Data, October, 2025
Advancing wheat crop analysis: A survey of deep learning approaches using hyperspectral imaging.
Comput. Electron. Agric., 2025
Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges.
Comput. Biol. Medicine, 2025
Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
2024
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge.
Sensors, March, 2024
CoRR, 2024
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach.
CoRR, 2024
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans.
CoRR, 2024
D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images.
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.
Artif. Intell. Rev., 2024
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach.
Expert Syst. Appl., October, 2023
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans.
Medical Image Anal., May, 2023
CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression.
Appl. Intell., May, 2023
CoRR, 2023
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation.
CoRR, 2023
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans.
CoRR, 2023
Automatic Bone Metastasis Classification: An in-depth Comparison of CNN and Transformer Architectures.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Deep learning based face beauty prediction via dynamic robust losses and ensemble regression.
Knowl. Based Syst., 2022
CoRR, 2022
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.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Sensors, 2021
Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN.
Sensors, 2021
J. Imaging, 2021
J. Imaging, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition.
Expert Syst. Appl., 2020
2019
IET Image Process., 2019