This inventor holds 1 USPTO granted patent. Top assignee: Mayo Foundation for Medical Education and Research. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016
Title: Innovations in Medical Imaging: The Contributions of Xiaojiang Yang
Introduction
Xiaojiang Yang is a notable inventor based in Rochester, MN (US). He has made significant contributions to the field of medical imaging, particularly in the detection of intracranial aneurysms. His innovative work has the potential to enhance diagnostic accuracy and improve patient outcomes.
Latest Patents
Yang holds a patent for a groundbreaking invention titled "Computer-aided detection (CAD) of intracranial aneurysms." This computer-aided system is designed to identify aneurysm suspects in 3D image datasets. The system takes raw image data as input and assigns one or more points of interest (POIs) within the image. It then determines various features for each POI and identifies potential aneurysm suspects based on these features. This invention represents a significant advancement in the field of medical imaging.
Career Highlights
Xiaojiang Yang is affiliated with the Mayo Foundation for Medical Education and Research, where he continues to work on innovative solutions in medical imaging. His expertise and dedication to research have positioned him as a valuable asset in the medical community.
Collaborations
Yang collaborates with esteemed colleagues such as Bradley J Erickson and Daniel J Blezek. Their combined efforts contribute to the advancement of medical imaging technologies and enhance the quality of patient care.
Conclusion
Xiaojiang Yang's contributions to the field of medical imaging, particularly through his patent on computer-aided detection of intracranial aneurysms, highlight the importance of innovation in healthcare. His work not only showcases his expertise but also emphasizes the potential for technology to improve diagnostic processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
