Seoul, South Korea

Soon Sung Kwon

This inventor holds 1 USPTO granted patent and 1 published patent application and 2 EPO patents. Top assignee: Ai Medic Inc.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Soon Sung Kwon. Retrieved from https://idiyas.com/inventor/soon-sung-kwon-mhf7bxeh

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovator Soon Sung Kwon: Pioneering Medical Imaging Technology

Introduction

Soon Sung Kwon is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of medical imaging through his innovative methods and systems. His work focuses on enhancing the accuracy and efficiency of blood vessel segmentation in medical images.

Latest Patents

Soon Sung Kwon holds a patent for a method and system for automatically segmenting blood vessels in medical images using machine learning and image processing algorithms. This patent describes a method for automatically segmenting three-dimensional blood vessel data from three-dimensional medical image data of a patient. The process involves receiving the three-dimensional medical image data, generating three-dimensional shape machine-learning blood vessel data, and producing corrected three-dimensional shape blood vessel data through an image processing program. This innovative approach aims to improve the analysis of medical images, ultimately benefiting patient care.

Career Highlights

Throughout his career, Soon Sung Kwon has worked with prominent companies, including Ai Medic Inc. and Hyundai Motor Company. His experience in these organizations has allowed him to apply his expertise in machine learning and image processing to real-world applications in the medical field.

Collaborations

Some of his notable coworkers include Han Yong Cho and Woo Sang Cho. Their collaboration has contributed to the advancement of technologies in medical imaging and related fields.

Conclusion

Soon Sung Kwon's innovative work in medical imaging technology exemplifies the impact of machine learning and image processing in healthcare. His contributions continue to pave the way for advancements in the accurate analysis of medical images, ultimately enhancing patient outcomes.

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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