134 citations
- Capital Medical UniversityCN4 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- Tsinghua UniversityCN2 papers
- Affiliated Hangzhou First People's Hospital, Westlake University, School of MedicineCN1 paper
- Beihang UniversityCN1 paper
- Beijing Chaoyang Emergency Medical CenterCN1 paper
- Beijing Institute of NeurosurgeryCN1 paper
- Beijing Tsinghua Chang Gung HospitalCN1 paper
- Beijing YouAn HospitalCN1 paper
- Capital Institute of PediatricsCN1 paper
- Central South UniversityCN1 paper
- China Rehabilitation Research CenterCN1 paper
5 papers
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
Xiangjin Xie, Yuxin Chen, Ruipeng Wang +8
Graph neural networks have been widely used in recent recommender systems, where negative sampling plays an important role. Existing negative sampling methods restrict the relation…
Methodology and Real-World Applications of Dynamic Uncertain Causality Graph for Clinical Diagnosis with Explainability and Invariance
Zhan Zhang, Qin Zhang, Yang Jiao +18
AI-aided clinical diagnosis is desired in medical care. Existing deep learning models lack explainability and mainly focus on image analysis. The recently developed Dynamic Uncerta…
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification
Chuang Zhu, Wenkai Chen, Ting Peng +2
Deep learning-based histopathology image classification is a key technique to help physicians in improving the accuracy and promptness of cancer diagnosis. However, the noisy label…
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides
Feng Xu, Chuang Zhu, Wenqi Tang +7
Objectives: To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast can…
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…