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2020 – today
- 2024
[j13]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed:
Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. Artif. Intell. Rev. 57(4): 90 (2024)- [j12]Fares Bougourzi
, Fadi Dornaika, Cosimo Distante, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images. Comput. Biol. Medicine 176: 108590 (2024) - [j11]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:
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24(5): 1557 (2024) - [i10]Fares Bougourzi, Féryal Windal Moulaï, Halim Benhabiles, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. CoRR abs/2403.11338 (2024) - [i9]Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Vinh Truong Hoang:
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. CoRR abs/2404.18199 (2024) - [i8]Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges. CoRR abs/2404.19598 (2024) - [i7]Fares Bougourzi, Fadi Dornaika, Cosimo Distante, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images. CoRR abs/2405.04169 (2024) - [i6]Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed:
Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach. CoRR abs/2406.14120 (2024) - [i5]Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang:
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. CoRR abs/2408.13774 (2024) - 2023
- [j10]Fares Bougourzi, Fadi Dornaika, Nagore Barrena, Cosimo Distante, Abdelmalik Taleb-Ahmed:
CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression. Appl. Intell. 53(9): 10825-10842 (2023) - [j9]Marwa Afnouch, Olfa Gaddour, Yosr Hentati, Fares Bougourzi, Mohamed Abid, Ihsen Alouani, Abdelmalik Taleb-Ahmed:
BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach. Expert Syst. Appl. 228: 120376 (2023) - [j8]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans. Medical Image Anal. 86: 102797 (2023) - [c5]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. ICASSP Workshops 2023: 1-5 - [c4]Marwa Afnouch, Olfa Gaddour, Fares Bougourzi, Yosr Hentati, Abdelmalik Taleb-Ahmed, Mohamed Abid:
Automatic Bone Metastasis Classification: An in-depth Comparison of CNN and Transformer Architectures. INISTA 2023: 1-6 - [i4]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. CoRR abs/2303.08740 (2023) - [i3]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation. CoRR abs/2303.15576 (2023) - [i2]Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed:
Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review. CoRR abs/2304.13880 (2023) - 2022
- [j7]Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Deep learning based face beauty prediction via dynamic robust losses and ensemble regression. Knowl. Based Syst. 242: 108246 (2022) - [c3]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans. ECCV Workshops (7) 2022: 593-604 - [c2]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
ILC-Unet++ for Covid-19 Infection Segmentation. ICIAP Workshops 2022: 461-472 - [i1]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan. CoRR abs/2206.15431 (2022) - 2021
- [j6]Emanuela Paladini, Edoardo Vantaggiato, Fares Bougourzi, Cosimo Distante, Abdenour Hadid, Abdelmalik Taleb-Ahmed:
Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification. J. Imaging 7(3): 51 (2021) - [j5]Fares Bougourzi, Cosimo Distante, Abdelkrim Ouafi, Fadi Dornaika, Abdenour Hadid, Abdelmalik Taleb-Ahmed:
Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans. J. Imaging 7(9): 189 (2021) - [j4]Edoardo Vantaggiato, Emanuela Paladini, Fares Bougourzi, Cosimo Distante, Abdenour Hadid, Abdelmalik Taleb-Ahmed:
COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases. Sensors 21(5): 1742 (2021) - [j3]Fares Bougourzi, Riccardo Contino, Cosimo Distante, Abdelmalik Taleb-Ahmed:
Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN. Sensors 21(17): 5878 (2021) - [c1]Fares Bougourzi, Riccardo Contino, Cosimo Distante, Abdelmalik Taleb-Ahmed:
CNR-IEMN: A Deep Learning Based Approach to Recognise Covid-19 from CT-Scan. ICASSP 2021: 8568-8572 - 2020
- [j2]Fares Bougourzi, Fadi Dornaika, Karim Mokrani, Abdelmalik Taleb-Ahmed, Yassine Ruichek:
Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition. Expert Syst. Appl. 156: 113459 (2020)
2010 – 2019
- 2019
- [j1]Fares Bougourzi, Karim Mokrani, Yassine Ruichek, Fadi Dornaika, Abdelkrim Ouafi, Abdelmalik Taleb-Ahmed:
Fusion of transformed shallow features for facial expression recognition. IET Image Process. 13(9): 1479-1489 (2019)
Coauthor Index
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last updated on 2024-09-30 01:02 CEST by the dblp team
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