Seoul, South Korea

Weonsuk Lee

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Lunit Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Weonsuk Lee. Retrieved from https://idiyas.com/inventor/weonsuk-lee

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Weonsuk Lee: Innovator in Neural Network Training

Introduction

Weonsuk Lee is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the training of neural networks. His innovative approach has the potential to enhance the capabilities of machine learning systems.

Latest Patents

Weonsuk Lee holds a patent for a "Method for training neural network and device thereof." This patent outlines a method that trains a neural network using three-dimensional (3D) training image data, which includes multiple two-dimensional (2D) training image data. The method involves training a first convolutional neural network (CNN) with the 2D training image data and a second CNN with the 3D training image data. This dual approach allows for more effective processing and learning from complex data sets.

Career Highlights

Weonsuk Lee is currently employed at Lunit Inc., a company known for its advancements in medical AI technology. His work at Lunit Inc. focuses on developing innovative solutions that leverage artificial intelligence to improve healthcare outcomes.

Collaborations

Weonsuk collaborates with talented individuals such as HyunJae Lee and Hyo-Eun Kim, contributing to a dynamic team that drives innovation in their projects.

Conclusion

Weonsuk Lee's contributions to neural network training exemplify the intersection of technology and healthcare. His innovative methods and collaborative spirit continue to push the boundaries of what is possible in artificial intelligence.

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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