Yongin-si, South Korea

Chang Won Kim

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Claripi Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chang Won Kim. Retrieved from https://idiyas.com/inventor/chang-won-kim-ca0jiyfp

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


% Patents Active = 100.0

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Chang Won Kim and Medical-Image-Based Vertebral Recognition

Introduction

Chang Won Kim is an inventor based in Yongin-si, South Korea, and is associated with Claripi Inc. His patent work addresses the identification and numbering of vertebral bodies in medical images.

Latest Patents

Kim is associated with 1 patent: “Apparatus and Method for Vertebral Body Recognition in Medical Images.” The invention describes an apparatus that reconstructs multi-slice medical images into a three-dimensional image and creates a coronal projection. It divides that projection into a selection area that includes at least part of the lumbar or thoracic region, identifies corresponding areas in the three-dimensional image, and uses that information to number vertebral bodies.

Career Highlights

Kim’s documented patent work focuses on medical-image analysis and vertebral identification. The disclosed method combines three-dimensional reconstruction, image projection, region selection, and vertebral numbering.

Collaborations

Kim is associated with Claripi Inc. His listed coworkers include Je Myoung Lee and Tae Jin Kim.

Conclusion

Chang Won Kim’s patent describes a structured approach to recognizing and numbering vertebral bodies from medical images, reflecting his documented work in medical-image technology.

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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