A5102008768- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Retinal Imaging and Analysis
- Face and Expression Recognition
- Blind Source Separation Techniques
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Imbalanced Data Classification Techniques
- Stellar, planetary, and galactic studies
- Advanced Neural Network Applications
- Target Tracking and Data Fusion in Sensor Networks
- Retinal and Optic Conditions
- Atmospheric and Environmental Gas Dynamics
- Retinal Diseases and Treatments
- Digital Imaging for Blood Diseases
- Spectroscopy and Chemometric Analyses
Renmin University of China
2020-2021
To assist with retinal vein occlusion (RVO) screening, artificial intelligence (AI) methods based on deep learning (DL) have been developed to alleviate the pressure experienced by ophthalmologists and discover treat RVO as early possible.A total of 8600 color fundus photographs (CFPs) were included for training, validation, testing disease recognition models lesion segmentation models. Four four established compared. Finally, one model selected superior. Additionally, 224 CFPs from 130...
Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of components and predictive performance. However, many existing PCA methods do not make use covariates, those that often have high computational cost or overly simplistic assumptions are violated in practice. In this article, we propose a new framework, called Covariate Dependent Functional Principal Component Analysis (CD-FPCA), which both mean covariance...
Monte Carlo integration is fundamental in scientific and statistical computation, but requires reliable samples from the target distribution, which poses a substantial challenge case of multi-modal distributions. Existing methods often involve time-consuming tuning, typically lack tailored estimators for efficient use samples. This paper adapts Warp-U transformation [Wang et al., 2022] to form sampling strategy called sampling. It constructs stochastic map transport density into uni-modal...