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original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2024―Oct―09 |
Multiscale codec network based CT image segmentation for human lung disease derived of COVID-19 |
Qianjie Lu, Zhengyao Bai, Shenglan Fan, Xue Zhou, Zhu Xu |
| 2 |
[GO] |
2024―Oct―09 |
Spatiotemporal data learning of graph convolutional neural network for epidemic prediction of COVID-19 |
Chengyi Yang, Feng Liu, Jiayin Qi, Yan Duan, Runqian Lyu, Zilong Xiao |
| 3 |
[GO] |
2024―Oct―09 |
Supercomputing-supported COVID-19 CT image comprehensive analysis assistant system |
Bo Kang, Jia Guo, Shuai Wang, Bo Xu, Xiangfei Meng |
| 4 |
[GO] |
2024―Oct―09 |
Progress of artificial intelligence diagnosis and prognosis technology for COVID-19 medical imaging |
Lu Meng, Ronghui Li |
| 5 |
[GO] |
2024―Oct―09 |
A MHA-based integrated diagnosis and segmentation method for COVID-19 pandemic |
Jinxing Li, Jun Sun, Chao Li, Ahmad Bilal |
| 6 |
[GO] |
2024―Oct―08 |
Diagnosis of COVID-19 by using structural attention graph neural network |
Yanbei Liu, Henan Li, Changqing Zhang, Zhitao Xiao, Fang Zhang, Ying Wei, et al. (+4) Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen |
| 7 |
[GO] |
2024―Mar―08 |
Normalized-UNet Segmentation for COVID-19 Utilizing an Encoder-Decoder Connection Layer Block |
Mohammed Al-Mukhtar, Ammar Awni Abbas, Aws H. Hamad, Mina H. Al-hashimi |
| 8 |
[GO] |
2023―Oct―20 |
A Transformer network based CT image segmentation for COVID-19-derived lung disease |
Fan Shenglan, Bai Zhengyao, Lu Qianjie, Zhou Xue |
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