Tempe, AZ, United States of America

Hyunsoo Yoon

This inventor holds 1 USPTO granted patent. Top assignees: Arizona State University, Mayo Foundation for Medical Education and Research. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hyunsoo Yoon. Retrieved from https://idiyas.com/inventor/hyunsoo-yoon-0ovyqp2s

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Hyunsoo Yoon: Innovator in Machine Learning and MRI Technology

Introduction

Hyunsoo Yoon is a prominent inventor based in Tempe, AZ (US). He has made significant contributions to the field of medical imaging through his innovative approaches that integrate machine learning with traditional mechanistic models. His work focuses on enhancing the accuracy and effectiveness of biological feature mapping using advanced imaging techniques.

Latest Patents

Hyunsoo Yoon holds 1 patent for his invention titled "Methods for using machine learning and mechanistic models for biological feature mapping with multiparametric MRI." This patent describes systems and methods for generating and implementing a hybrid model that combines machine learning and mechanistic approaches. The goal is to produce biological feature maps based on multiparametric magnetic resonance imaging data. The hybrid model is capable of learning individual-specific relationships between imaging features and biological features, such as tumor cell density.

Career Highlights

Throughout his career, Hyunsoo Yoon has worked with esteemed institutions, including Arizona State University and the Mayo Foundation for Medical Education and Research. His experience in these organizations has allowed him to develop and refine his innovative techniques in medical imaging and machine learning.

Collaborations

Hyunsoo has collaborated with notable colleagues, including Nathan Gaw and Andrea Hawkins-Daarud. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Hyunsoo Yoon's work exemplifies the intersection of technology and medicine, showcasing how innovations in machine learning can enhance biological feature mapping. His contributions are paving the way for more accurate medical diagnoses and treatments.

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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