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Hossam Hawash

Showing results (1-10 of 5) with videos related to

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Information Sciences|July 26, 2021
RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesionsWeiping Ding, Mohamed Abdel-Basset, Hossam Hawash
Information Sciences|December 19, 2022
MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMTWeiping Ding, Mohamed Abdel-Basset, Hossam Hawash, et al.
IEEE Transactions on Cybernetics|November 8, 2021
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography ScansWeiping Ding, Mohamed Abdel-Basset, Hossam Hawash, et al.
Pattern Recognition Letters|November 3, 2021
Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scansMohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, et al.
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug RepurposingMohamed Abdel-Basset, Hossam Hawash, Mohamed Elhoseny, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Information Sciences|July 26, 2021
RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesionsWeiping Ding, Mohamed Abdel-Basset, Hossam Hawash
Information Sciences|December 19, 2022
MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMTWeiping Ding, Mohamed Abdel-Basset, Hossam Hawash, et al.
IEEE Transactions on Cybernetics|November 8, 2021
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography ScansWeiping Ding, Mohamed Abdel-Basset, Hossam Hawash, et al.
Pattern Recognition Letters|November 3, 2021
Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scansMohamed Abdel-Basset, Hossam Hawash, Nour Moustafa, et al.
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug RepurposingMohamed Abdel-Basset, Hossam Hawash, Mohamed Elhoseny, et al.
Pageof 1