This inventor holds 7 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignees: Vuno, Inc., Lg Electronics Inc., Seoul National University. Active years: 2010-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Yongin Gyeonggi-do, KR (2022)
- Gyeonggi-Do, KR (2010 - 2024)
Company Filing History:




Years Active: 2010-2024
Title: Hyun-Jun Kim: Innovator in Fundus Image Classification
Introduction
Hyun-Jun Kim is a prominent inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of medical imaging, particularly in the classification of fundus images. With a total of seven patents to his name, Kim's work is at the forefront of technological advancements in healthcare.
Latest Patents
Among his latest patents, Kim has developed a "Method for classifying fundus image of subject and device using same." This invention relates to a method that allows a computing device to acquire a fundus image, generate classification information, and provide interpretation text to an external entity. Another notable patent is the "Method for supporting reading of fundus image of subject, and device using same." This invention focuses on extracting attribute information from fundus images using a machine learning model, which can be updated based on evaluation or modification information.
Career Highlights
Throughout his career, Hyun-Jun Kim has worked with notable companies such as Vuno, Inc. and LG Electronics Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in medical technology.
Collaborations
Kim has collaborated with talented individuals in his field, including Kyuhwan Jung and Yeha Lee. These partnerships have fostered a creative environment that encourages the development of groundbreaking solutions in fundus imaging.
Conclusion
Hyun-Jun Kim's contributions to the field of fundus image classification demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of technology and its application in healthcare, making him a valuable asset to the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile