99 citations
- Henan UniversityCN2 papers
- Quzhou UniversityCN2 papers
- University of Electronic Science and Technology of ChinaCN2 papers
- Affiliated Hospital of Hangzhou Normal UniversityCN1 paper
- Agency for Science, Technology and ResearchSG1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Chinese Academy of SciencesCN1 paper
- Chinese PLA General HospitalCN1 paper
- Dongyang People's HospitalCN1 paper
- Edge Hill UniversityGB1 paper
- Hangzhou Medical CollegeCN1 paper
- Institute of High Performance ComputingSG1 paper
7 papers
Modeling Engagement Signals in Technology-Enhanced Collaborative Learning: Toward AI-Ready Feedback
Joan Zhong
Modeling engagement in collaborative learning remains challenging, especially in technology-enhanced environments where surface indicators such as participation frequency can be mi…
Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
Chunjing Xiao, Jiahui Lu, Xovee Xu +4
Graph anomaly detection is critical in domains such as healthcare and economics, where identifying deviations can prevent substantial losses. Existing unsupervised approaches striv…
Boundary-enhanced time series data imputation with long-term dependency diffusion models
Chunjing Xiao, Xue Jiang, Xianghe Du +4
Data imputation is crucial for addressing challenges posed by missing values in multivariate time series data across various fields, such as healthcare, traffic, and economics, and…
AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant
Jincao Yao, Yunpeng Wang, Zhikai Lei +13
An artificial intelligence-generated content-enhanced computer-aided diagnosis (AIGC-CAD) model, designated as ThyGPT, has been developed. This model, inspired by the architecture…
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images
Shouyue Liu, Jinkui Hao, Yanwu Xu +7
Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer's disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use re…
Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN
Kaining Mao, Wei Zhang, Deborah Baofeng Wang +9
Depression is increasingly impacting individuals both physically and psychologically worldwide. It has become a global major public health problem and attracts attention from vario…