This inventor holds 1 USPTO granted patent. Top assignees: Konkuk University Glocal Industry-Academic Collaboration Foundation, The Catholic University of Korea. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Nhat To Minh Nguyen: Innovator in Medical Imaging Technology
Introduction
Nhat To Minh Nguyen is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of medical imaging, particularly through his innovative patent that utilizes machine learning techniques.
Latest Patents
Nhat To Minh Nguyen holds a patent titled "Learning method for generating multiphase collateral image and multiphase collateral image generating method using machine learning." This patent outlines a learning method that involves several steps, including receiving inputs of an MRI image of the head and a multiphase collateral image generated from that MRI image. The process includes generating a brain mask using the MRI image, creating masked images, and employing a learning network to learn the masked multiphase collateral image for the masked MRI image.
Career Highlights
Throughout his career, Nhat To Minh Nguyen has worked with esteemed institutions such as the Catholic University of Korea and Konkuk University Glocal Industry-Academic Collaboration Foundation. His work in these organizations has allowed him to collaborate with other professionals in the field and further his research in medical imaging.
Collaborations
Some of his notable coworkers include Hyun Jeong Kim and Hong Gee Roh. Their collaboration has contributed to the advancement of technology in medical imaging and machine learning applications.
Conclusion
Nhat To Minh Nguyen is a key figure in the realm of medical imaging technology, with a focus on innovative methods that enhance the generation of collateral images. His contributions through patents and collaborations continue to impact the field positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile