Wei Yang

1. Conducted research on cardiac volume estimation, processed annotated data from 3D Slicer, and applied computer science knowledge to imaging examination analysis.

2. Utilizing deep learning methods to estimate the total volume of the heart and develop a reliable methodology.

3. Analyzed relevant cardiac volume data and wrote corresponding research reports.

1. Responsible for developing a hospital medical record structuring model based on deep learning technology, solving the problem of structuring large-scale medical data, and achieving data cleaning and processing.

2. Responsible for developing the company's AI platform, which has the capability to analyze medical examination data. It can conduct machine learning analysis based on the data uploaded by users to produce reliable statistical results. My main responsibility is the development of backend models.

3. Responsible for the development of scientific research projects in actual hospitals, proposing solutions for specific medical research needs of doctors, designing machine learning models to fit data, and finding reasonable models to solve AI-related problems in practical medical research.

4. Maintain and continue developing previous machine learning projects related to hospitals.