25 citations
- Shanghai Jiao Tong UniversityCN4 papers
- Fudan UniversityCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
- Tongji HospitalCN2 papers
- Affiliated Hangzhou First People's Hospital, Westlake University, School of MedicineCN1 paper
- Beijing Chao-Yang Hospital, Capital Medical UniversityCN1 paper
- Capital Medical UniversityCN1 paper
- Central South UniversityCN1 paper
- Chinese University of Hong KongHK1 paper
- Fudan University Shanghai Cancer CenterCN1 paper
- Group Sense (China)CN1 paper
- Institute of Modern PhysicsCN1 paper
6 papers
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao +14
Diabetes prediction is an important data science application in the social healthcare domain. There exist two main challenges in the diabetes prediction task: data heterogeneity si…
Flip Learning: Erase to Segment
Yuhao Huang, Xin Yang, Yuxin Zou +7
Nodule segmentation from breast ultrasound images is challenging yet essential for the diagnosis. Weakly-supervised segmentation (WSS) can help reduce time-consuming and cumbersome…
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…
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4
Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…
Signet Ring Cell Detection With a Semi-supervised Learning Framework
Jiahui Li, Shuang Yang, Xiaodi Huang +6
Signet ring cell carcinoma is a type of rare adenocarcinoma with poor prognosis. Early detection leads to huge improvement of patients' survival rate. However, pathologists can onl…
Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction
Hongjiang Wei, Steven Cao, Yuyao Zhang +4
Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility from MRI gradient-echo phase signal and typically requires several processing step…