Fares Bougourzi

Amir Nakib

Artif. Intell. Rev., 2024

Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging.

[BibT_eX]

[DOI]

Vinh Truong Hoang

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.

[BibT_eX]

[DOI]

Expert Syst. Appl., October, 2023

PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans.

[BibT_eX]

[DOI]

Medical Image Anal., May, 2023

CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression.

[BibT_eX]

[DOI]

Mohamed Fadhlallah Guerri

Appl. Intell., May, 2023

Deep Learning Techniques for Hyperspectral Image Analysis in Agriculture: A Review.

[BibT_eX]

[DOI]

Paolo Spagnolo

CoRR, 2023

D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans.

[BibT_eX]

[DOI]

CoRR, 2023

Automatic Bone Metastasis Classification: An in-depth Comparison of CNN and Transformer Architectures.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep learning based face beauty prediction via dynamic robust losses and ensemble regression.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases.

[BibT_eX]

[DOI]

Sensors, 2021

Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN.

[BibT_eX]

[DOI]

Riccardo Contino

Sensors, 2021

Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification.

[BibT_eX]

[DOI]

J. Imaging, 2021

Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans.

[BibT_eX]

[DOI]

J. Imaging, 2021

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

[BibT_eX]

[DOI]

Riccardo Contino

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition.

[BibT_eX]

[DOI]

Karim Mokrani

Yassine Ruichek

Expert Syst. Appl., 2020

2019

Fusion of transformed shallow features for facial expression recognition.

[BibT_eX]

[DOI]