95 citations
- Shenzhen Technology UniversityCN9 papers
- Chang Gung Memorial HospitalTW6 papers
- Beijing University of Posts and TelecommunicationsCN5 papers
- National Institutes of Health Clinical CenterUS5 papers
- University of Science and Technology of ChinaCN5 papers
- Beijing Institute of TechnologyCN3 papers
- Johns Hopkins UniversityUS3 papers
- Alibaba Group (China)CN2 papers
- Association for Computing MachineryUS2 papers
- China Medical UniversityTW2 papers
- First Affiliated Hospital Zhejiang UniversityCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
20 papers · 1 filter
Mention Extraction and Linking for SQL Query Generation
Jianqiang Ma, Zeyu Yan, Shuai Pang +2
On the WikiSQL benchmark, state-of-the-art text-to-SQL systems typically take a slot-filling approach by building several dedicated models for each type of slots. Such modularized…
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Yuhang Lu, Kang Zheng, Weijian Li +8
Accurate segmentation of anatomical structures is vital for medical image analysis. The state-of-the-art accuracy is typically achieved by supervised learning methods, where gather…
Retrieving and ranking short medical questions with two stages neural matching model
Xiang Li, Xinyu Fu, Zheng Lu +4
Internet hospital is a rising business thanks to recent advances in mobile web technology and high demand of health care services. Online medical services become increasingly popul…
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation
Lipei Zhang, Aozhi Liu, Jing Xiao +1
A number of methods based on deep learning have been applied to medical image segmentation and have achieved state-of-the-art performance. Due to the importance of chest x-ray data…
Learning Graph Normalization for Graph Neural Networks
Yihao Chen, Xin Tang, Xianbiao Qi +2
Graph Neural Networks (GNNs) have attracted considerable attention and have emerged as a new promising paradigm to process graph-structured data. GNNs are usually stacked to multip…
FedSmart: An Auto Updating Federated Learning Optimization Mechanism
Anxun He, Jianzong Wang, Zhangcheng Huang +1
Federated learning has made an important contribution to data privacy-preserving. Many previous works are based on the assumption that the data are independently identically distri…