Daejeon, South Korea

JongChul Ye

This inventor holds 16 USPTO granted patents and 4 published patent applications, primarily in Image Processing. Top assignees: Korea Advanced Institute of Science and Technology, The Asan Foundation, University of Ulsan Foundation for Industry Cooperation. Active years: 2020-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: JongChul Ye. Retrieved from https://idiyas.com/inventor/jongchul-ye

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

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 100.0

Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Yuseong-gu, KR (2021)
  • Daejeon, KR (2020 - 2024)

Company Filing History:


Years Active: 2020-2025

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Areas of Expertise:
Magnetic Resource Imaging
Quantitative Susceptibility Mapping
X-Ray Computed Tomography
Neural Network
Image Segmentation
Cycle-Consistent Neural Network
Vision Transformer
Ghost Artifact Removal
Sparse-View Computed Tomography
Deformable Image Registration
Unsupervised Learning
Data Normalization
16 patents (USPTO):Explore Patents

Title: Inventor JongChul Ye: Pioneering Innovations in Unsupervised Learning

Introduction

JongChul Ye, a notable inventor based in Daejeon, South Korea, has garnered significant recognition for his contributions to the field of unsupervised learning and image registration methods. With a commendable portfolio of 13 patents, Ye stands at the forefront of innovation, addressing complex challenges through advanced technological solutions.

Latest Patents

One of JongChul Ye's latest patents is titled "Unsupervised Learning Method for General Inverse Problem and Apparatus Therefor." This invention presents an unsupervised learning approach applicable to general inverse problems, utilizing a training dataset to optimize a neural network based on optimal transport theory and a penalized least square (PLS) methodology. The process allows for the incorporation of unmatched data, enhancing the adaptability and efficiency of the learning model.

Another significant patent is the "Unsupervised Deformable Image Registration Method Using Cycle-Consistent Neural Network and Apparatus Therefor." This method focuses on image registration by employing a neural network with cycle consistency. The process includes receiving two images and outputting a deformation field, thus facilitating seamless transformation between them. This innovation aims to streamline various applications in image processing.

Career Highlights

JongChul Ye has made impactful strides in his career by working with esteemed institutions such as the Korea Advanced Institute of Science and Technology and The Asan Foundation. His work at these organizations has played a vital role in shaping his research focus on machine learning frameworks and image processing techniques.

Collaborations

Throughout his career, JongChul Ye has collaborated with notable colleagues, including Yoseob Han and Shujaat Khan. These partnerships have contributed to advancing his research and expanding the scope of his innovative projects.

Conclusion

JongChul Ye is a prominent figure in the realm of technological innovation, particularly in the domains of unsupervised learning and image registration. His impressive array of patents reflects his dedication to advancing knowledge and creating solutions that address contemporary challenges. As he continues to refine his techniques, Ye's contributions are poised to make a lasting impact in the field of technology.

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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