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ORCIDCosimo Distante
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Publications
- 2024
[j39]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)- [j38]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) - [i8]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) - 2023
- [j37]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) - [j35]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) - [c58]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 - [i5]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) - [i4]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) - [i3]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
- [c53]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 - [c46]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid:
ILC-Unet++ for Covid-19 Infection Segmentation. ICIAP Workshops 2022: 461-472 - [i2]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
- [j30]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) - [j29]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) - [j28]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) - [j27]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) - [c45]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
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last updated on 2024-07-20 21:17 CEST by the dblp team
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