Phoenix, AZ, United States of America

Kun Deng

This inventor holds 1 USPTO granted patent. Top assignee: Arizona State University. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kun Deng. Retrieved from https://idiyas.com/inventor/kun-deng-cb6xxspk

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


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Kun Deng - Innovator in Medical Imaging Technology

Introduction

Kun Deng is a notable inventor based in Phoenix, AZ (US). He has made significant contributions to the field of medical imaging technology. His innovative work focuses on enhancing the detection of anatomical objects in medical device images.

Latest Patents

Kun Deng holds a patent for "Systems, methods, and media for detecting an anatomical object in a medical device image using a multi-stage classifier." This patent describes a system that applies a medical device image to a classifier with multiple stages. The first and second stages of the classifier each utilize a strong learner formed from several weak learners. The system identifies whether the medical device image shows the anatomical object based on the classifier's application.

Career Highlights

Kun Deng is affiliated with Arizona State University, where he continues to advance his research and innovation in medical imaging. His work has the potential to improve diagnostic accuracy and patient outcomes in medical settings.

Collaborations

Kun has collaborated with esteemed colleagues such as Hong Wu and Jianming Liang. Their combined expertise contributes to the advancement of technology in the medical field.

Conclusion

Kun Deng is a pioneering inventor whose work in medical imaging technology is making a significant impact. His innovative patent demonstrates the potential for improved detection methods in healthcare.

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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