Suyong-gu, South Korea

Jinsung Kim

This inventor holds 1 USPTO granted patent. Top assignee: Other. Active years: 2011.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jinsung Kim. Retrieved from https://idiyas.com/inventor/jinsung-kim-jijkwos9

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 = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:

goldMedal1 out of 834,601 
Other
 patents

Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Jinsung Kim and Automated Medical-Image Detection

Introduction

Jinsung Kim is an inventor associated with Suyong-gu, South Korea. His patent work addresses automated detection of target structures in medical images, with a focus on identifying pulmonary nodules.

Latest Patents

The provided information lists one patent for Kim: “Method and Apparatus for Automated Detection of Target Structures from Medical Images Using a 3D Morphological Matching Algorithm.” The method creates a three-dimensional data set from segmented medical-image slices, groups contiguous structures, assigns each group to an appropriate detection algorithm, and processes the groups to determine whether target structures are present. For pulmonary nodule detection, specialized processing can be applied to candidates near blood vessels, using three-dimensional morphological filters to distinguish nodules from surrounding vessels. Kim is credited with 1 patent.

Career Highlights

Kim’s listed invention applies three-dimensional image analysis and algorithm selection to support automated detection of structures in medical scans. The approach is designed to tailor detection to different types of structures rather than applying a single algorithm to all image data.

Collaborations

The provided information identifies Kyongtae T. Bae as Kim’s coworker. No company is specified.

Conclusion

Jinsung Kim’s listed patent describes a structured approach to detecting target structures in medical images, including pulmonary nodule candidates, through three-dimensional data processing and specialized morphological analysis.

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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