Seattle, WA, United States of America

Xin Wang

This inventor holds 27 USPTO granted patents and 8 published patent applications, primarily in Medical Imaging Analysis. Top assignees: Shenzhen Keya Medical Technology Corporation, Keya Medical Technology Co., Ltd., Keyamed Na, Inc.. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xin Wang. Retrieved from https://idiyas.com/inventor/xin-wang-8qg5luoc

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

USPTO Granted Patents = 27 

% Patents Active = 96.3

Average Co-Inventor Count = 7.1

ph-index = 10

Forward Citations = 149(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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Areas of Expertise:
Clinical Data Classification
Disease Quantification
Anatomical Labels Generation
Joint Abnormality Detection
Blood Vessel Stenosis
Intracerebral Hemorrhage Detection
COVID-19 Diagnosis
Multi-Task Learning
Anatomical Tree Structure
Biomedical Image Segmentation
FFR Prediction
Blood Flow Features
27 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Xin Wang

Introduction

Xin Wang, based in Seattle, WA, is an influential inventor with a remarkable portfolio of 26 patents to his name. His groundbreaking contributions in the field of medical imaging and disease quantification elevate the understanding and treatment of anatomical structures.

Latest Patents

Among Xin's latest innovations is the "Method and System for Disease Quantification of Anatomical Structures." This patent discloses an advanced approach for predicting disease quantification parameters using a Graph Neural Network (GNN). The methodology involves extracting a centerline structure from medical images, predicting disease quantification parameters for each sampling point, and integrating local and global factors to improve prediction accuracy.

Another significant invention is the "Method and System for Anatomical Labels Generation." This patented system employs a trained deep learning network to automate the generation of anatomical labels from medical images. By utilizing a sequentially connected branched network, a GNN, a Recurrent Neural Network, and a Probability Graph Model, this method ensures high prediction accuracy and reliability.

Career Highlights

Xin Wang has contributed to the advancement of medical technology through his work with notable companies such as Shenzhen Keya Medical Technology Corporation and Keyamed NA, Inc. His commitment to innovation drives the development of solutions that bridge the gap between technology and healthcare.

Collaborations

In his professional journey, Xin has collaborated with accomplished colleagues, including Youbing Yin and Qi Song. These partnerships have fostered a collaborative environment that enhances creativity and innovation in their shared endeavors.

Conclusion

With a diverse array of patents and a focus on medical advancements, Xin Wang continues to make a significant impact in his field. His inventive spirit and dedication to improving healthcare technology underscore his status as a leading figure in the world of innovations.

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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