This inventor holds 1 USPTO granted patent. Top assignees: Beihang University, Beijing Tiantan Hospital, Capital Medical University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Yuehua Pu: Innovator in Intracranial Artery Stenosis Detection
Introduction
Yuehua Pu is a notable inventor based in Beijing, China. He has made significant contributions to the field of medical imaging, particularly in the detection of intracranial artery stenosis. His innovative approach aims to enhance the accuracy and efficiency of medical diagnoses.
Latest Patents
Yuehua Pu holds a patent for an "Intracranial artery stenosis detection method and system." This patent presents a novel method for detecting artery stenosis by utilizing a first maximum intensity projection (MIP) image and a second MIP image. The method employs a detection model based on an adaptive triplet attention module, which improves the accuracy of detection results. By generating auxiliary reports and visualization results, this system addresses the limitations of existing manual interpretation methods, which can be subjective and time-consuming. The integration of the adaptive triplet attention module into a backbone network of YOLOv4 allows for a focused analysis of key regions, enhancing the model's characterization ability.
Career Highlights
Yuehua Pu has worked at prestigious institutions such as Beihang University and Beijing Tiantan Hospital, Capital Medical University. His experience in these organizations has contributed to his expertise in medical imaging and innovation.
Collaborations
Yuehua Pu has collaborated with notable colleagues, including Ziyang Liu and Wanlin Zhu, who have contributed to his research and development efforts in the field.
Conclusion
Yuehua Pu's work in the detection of intracranial artery stenosis represents a significant advancement in medical technology. His innovative methods and collaborative efforts continue to pave the way for improved diagnostic accuracy in healthcare.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile