Suwon, South Korea

Dukyong Yoon

This inventor holds 1 USPTO granted patent. Top assignee: Yonsei University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dukyong Yoon. Retrieved from https://idiyas.com/inventor/dukyong-yoon

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Dukyong Yoon and AI-Based 3D Medical Image Reconstruction.

Introduction

Dukyong Yoon is an inventor based in Suwon, South Korea, whose patent work focuses on applying artificial intelligence to medical imaging. His disclosed invention describes a system for generating a three-dimensional synthesized image from a two-dimensional X-ray image.

Latest Patents

The available information identifies 1 patent associated with Yoon: “Image Reconstruction System and Method for Outputting 3D Synthesized Image from 2D X-Ray Image Based on Artificial Intelligence.”

The invention’s learning process uses sample 3D computed tomography images to create bone-segmented reference images, derive sample 2D images, and generate synthesized 3D images for training an artificial intelligence model. At inference, a target 2D Maximum Intensity Projection image is supplied to the trained model, which outputs a final 3D synthesized image. This approach is intended to reconstruct three-dimensional visual information from two-dimensional X-ray data.

Career Highlights

Yoon is associated with Yonsei University. His patent illustrates research at the intersection of artificial intelligence and medical image reconstruction, with a focus on transforming X-ray inputs into synthesized 3D images.

Collaborations

Hyoungsik Kim and Jinsik Yoon are identified as Yoon’s coworkers. The provided information does not specify their roles in the patent or the details of their collaboration.

Conclusion

Dukyong Yoon’s disclosed patent centers on an AI-based method for synthesizing 3D images from 2D X-rays, reflecting an application of machine learning to medical imaging.

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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