| |
original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2022―Dec―14 |
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19 |
Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng |
| 2 |
[GO] |
2022―Apr―21 |
Predicting Demands of COVID-19 Prevention and Control Materials via Co-Evolutionary Transfer Learning |
Qin Song, Yu-Jun Zheng, Jun Yang, Yu-Jiao Huang, Wei-Guo Sheng, Sheng-Yong Chen |
| 3 |
[GO] |
2021―Nov―08 |
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans |
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Osama M. Elkomy |
| 4 |
[GO] |
2021―Nov―04 |
Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty |
Seid Miad Zandavi, Taha Hossein Rashidi, Fatemeh Vafaee |
| 5 |
[GO] |
2021―Aug―24 |
PAM-DenseNet: A Deep Convolutional Neural Network for Computer-Aided COVID-19 Diagnosis |
Bin Xiao, Zeyu Yang, Xiaoming Qiu, Jingjing Xiao, Guoyin Wang, Wenbing Zeng, Weisheng Li, Yongjian Nian, Wei Chen |
| 6 |
[GO] |
2020―May―08 |
Predicting COVID-19 in China Using Hybrid AI Model |
Nanning Zheng, Shaoyi Du, Jianji Wang, He Zhang, Wenting Cui, Zijian Kang, Tao Yang, Bin Lou, Yuting Chi, Hong Long, Mei Ma, Qi Yuan, Shupei Zhang, Dong Zhang, Feng Ye, Jingmin Xin |
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