267 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ShanghaiTech UniversityCN10 papers
- Shanghai Jiao Tong UniversityCN9 papers
- United Imaging Healthcare (China)CN7 papers
- Korea UniversityKR6 papers
- University of North Carolina at Chapel HillUS5 papers
- Fudan UniversityCN4 papers
- Huazhong University of Science and TechnologyCN2 papers
- Jilin UniversityCN2 papers
- Northwestern Polytechnical UniversityCN2 papers
- Shanghai Clinical Research CenterCN2 papers
- Shanghai Public Health Clinical CenterCN2 papers
- Tongren HospitalCN2 papers
5 papers · 2 filters
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan
Xiaofeng Zhu, Bin Song, Feng Shi +9
With the rapidly worldwide spread of Coronavirus disease (COVID-19), it is of great importance to conduct early diagnosis of COVID-19 and predict the time that patients might conve…
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
Hengyuan Kang, Liming Xia, Fuhua Yan +8
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, compute…
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency
Jiayu Huo, Liping Si, Xi Ouyang +6
Knee osteoarthritis (OA) is one of the most common musculoskeletal disorders and requires early-stage diagnosis. Nowadays, the deep convolutional neural networks have achieved grea…
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification
Feng Shi, Liming Xia, Fei Shan +7
The worldwide spread of coronavirus disease (COVID-19) has become a threatening risk for global public health. It is of great importance to rapidly and accurately screen patients w…
Reducing Magnetic Resonance Image Spacing by Learning Without Ground-Truth
Kai Xuan, Liping Si, Lichi Zhang +6
High-quality magnetic resonance (MR) image, i.e., with near isotropic voxel spacing, is desirable in various scenarios of medical image analysis. However, many MR acquisitions use…