| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2021―Dec―14 |
Weakly-supervised lesion analysis with a CNN-based framework for COVID-19 |
Kaichao Wu, Beth Jelfs, Xiangyuan Ma, Ruitian Ke, Xuerui Tan, Qiang Fang |
| 2 |
[GO] |
2021―Oct―29 |
An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT |
Xiaodong Guo, Yiming Lei, Peng He, Wenbing Zeng, Ran Yang, Yinjin Ma, et al. (+4) Peng Feng, Qing Lyu, Ge Wang, Hongming Shan |
| 3 |
[GO] |
2021―Apr―12 |
Radiomics analysis of chest CT to predict the overall survival for the severe patients of COVID-19 pneumonia |
Feng Xiao, Rongqing Sun, Wenbo Sun, Dan Xu, Lan Lan, Huan Li, et al. (+2) Huan Liu, Haibo Xu |
| 4 |
[GO] |
2021―Feb―19 |
Large-scale screening of COVID-19 from community acquired pneumonia using infection size-aware classification |
Feng Shi, Liming Xia, Fei Shan, Bin Song, Dijia Wu, Ying Wei, et al. (+6) Huan Yuan, Huiting Jiang, Yichu He, Yaozong Gao, He Sui, Dinggang Shen |
| 5 |
[GO] |
2020―Oct―12 |
Active contour regularized semi-supervised learning for COVID-19 CT infection segmentation with limited annotations |
Jun Ma, Ziwei Nie, Congcong Wang, Guoqiang Dong, Qiongjie Zhu, Jian He, et al. (+2) Luying Gui, Xiaoping Yang |
| 6 |
[GO] |
2020―Oct―08 |
Severity assessment of COVID-19 using CT image features and laboratory indices |
Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen |
|
