39 citations
- Central South UniversityCN3 papers
- Second Xiangya Hospital of Central South UniversityCN3 papers
- United Imaging Healthcare (China)CN3 papers
- Zhejiang UniversityCN3 papers
- Korea UniversityKR2 papers
- ShanghaiTech UniversityCN2 papers
- Army Medical UniversityCN1 paper
- Beijing Chao-Yang Hospital, Capital Medical UniversityCN1 paper
- Capital Medical UniversityCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Jilin UniversityCN1 paper
- Nanjing UniversityCN1 paper
3 papers
eess.IV2021★ 39 cited
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation
Geng-Xin Xu, Chen Liu, Jun Liu +9
Early and accurate severity assessment of Coronavirus disease 2019 (COVID-19) based on computed tomography (CT) images offers a great help to the estimation of intensive care unit…
eess.IV2021
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Zekun Li, Wei Zhao, Feng Shi +9
How to fast and accurately assess the severity level of COVID-19 is an essential problem, when millions of people are suffering from the pandemic around the world. Currently, the c…
cs.CV2020★ 25 cited
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia +15
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 20…