Shantou, China

Shaowu Zhao

This inventor holds 1 USPTO granted patent. Top assignee: Shantou Institute of Ultrasonic Instruments Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shaowu Zhao. Retrieved from https://idiyas.com/inventor/shaowu-zhao

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shaowu Zhao and Low-Dose X-Ray Imaging Innovation.

Introduction

Shaowu Zhao is an inventor associated with Shantou, China, and Shantou Institute of Ultrasonic Instruments Co., Ltd. His patent work addresses methods for extracting multiple types of information from low-dose X-ray images.

Latest Patents

Zhao is named on one patent, 1 patent: “Extended U-Net for Multi-Information Extraction and Application Method Thereof in Low-Dose X-Ray Imaging.” The invention expands the number of output channels during U-Net upsampling and adds a fully connected layer to support the extraction and superposition of multiple types of information. It uses the extended U-Net to process low-dose X-ray images, with normalized images, noise, and salient image features serving as outputs for learning and training.

Career Highlights

Zhao’s listed patent work focuses on applying an extended U-Net model to low-dose X-ray imaging. The approach is designed to support multi-information extraction from images.

Collaborations

Zhao’s listed coworkers include Delai Li and Liexiang Fan. The patent information provided does not specify their individual contributions to the invention.

Conclusion

Shaowu Zhao’s patent highlights an approach to extracting and combining multiple forms of information in low-dose X-ray imaging through an extended U-Net model.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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