Mohamed Abdel‐Basset

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

2022 · 159 Zit. · Information Sciences

MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans

2021 · 23 Zit. · IEEE Transactions on Cybernetics

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework

2023 · 19 Zit. · IEEE Transactions on Emerging Topics in Computational Intelligence

RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions

2021 · 19 Zit. · Information Sciences

MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT

2022 · 13 Zit. · Information Sciences

FV-Seg-Net: Fully Volumetric Network for Accurate Segmentation of COVID-19 Lesions From Chest CT Scans

2022 · 7 Zit. · IEEE Transactions on Industrial Informatics