Hangzhou, China

Peijun Hu


Average Co-Inventor Count = 4.4

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):

Title: Peijun Hu: Innovator in Medical Imaging Technology

Introduction

Peijun Hu is a prominent inventor based in Hangzhou, China, known for his significant contributions to medical imaging technology. With a total of four patents to his name, he has made strides in developing advanced systems that enhance the prediction and reconstruction of medical images.

Latest Patents

One of Peijun Hu's latest patents is the "Pancreatic postoperative diabetes prediction system based on supervised deep subspace learning." This innovative system utilizes a deep convolutional neural network and the MITK software to analyze the postoperative residual pancreas area. By extracting traditional image radiomics features and deep semantic features, the system constructs a high-dimensional image feature set. It also incorporates clinical factors related to diabetes, such as pancreatic excision rate and demographic information, to create a comprehensive clinical feature set. The model is designed to predict the risk of postoperative diabetes mellitus with high accuracy and automation.

Another notable patent is the "Label-free adaptive CT super-resolution reconstruction method, system and device based on generative network." This application introduces a method for acquiring low-resolution original CT image data and performing super-resolution reconstruction. The system fine-tunes parameters to adapt the CT reconstruction network to individual patient needs without requiring extensive training data. This approach enhances the quality of CT images while maintaining efficiency.

Career Highlights

Peijun Hu is currently employed at Zhejiang Lab, where he continues to innovate in the field of medical imaging. His work focuses on integrating advanced machine learning techniques with clinical applications to improve patient outcomes.

Collaborations

Peijun collaborates with notable colleagues, including Jingsong Li and Yu Tian, who contribute to his research and development efforts in medical imaging technology.

Conclusion

Peijun Hu's innovative work in medical imaging technology, particularly in predicting postoperative diabetes and enhancing CT image quality, showcases his commitment to advancing healthcare solutions. His contributions are paving the way for more accurate and efficient medical diagnostics.

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