This inventor holds 1 USPTO granted patent. Top assignees: Beihang University, Beijing Tiantan Hospital, Capital Medical University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2025
Title: Innovations in Image Recognition by Xia Meng
Introduction
Xia Meng is an accomplished inventor based in Beijing, China. He has made significant contributions to the field of image recognition, particularly in the evaluation of diffusion weighted imaging (DWI) and fluid attenuated inversion recovery (FLAIR) mismatch. His innovative approach has the potential to enhance the efficiency of medical imaging analysis.
Latest Patents
Xia Meng holds a patent titled "Method for evaluating DWI-flair mismatch, apparatus, medium, and product." This patent relates to the technical field of image recognition and outlines a method for evaluating the mismatch between DWI and FLAIR images. The process involves obtaining DWI and FLAIR images, segmenting them using image segmentation models, and applying a Dice metric to assess the degree of mismatch. This method aims to improve the efficiency of determining whether DWI and FLAIR images are aligned, thereby facilitating better diagnostic outcomes.
Career Highlights
Throughout his career, Xia Meng has worked with several prestigious institutions, including Beijing Tiantan Hospital, Capital Medical University, and Beihang University. His experience in these organizations has allowed him to develop and refine his expertise in medical imaging and image recognition technologies.
Collaborations
Xia has collaborated with notable colleagues, including Yongjun Wang and Jing Jing, who have contributed to his research and development efforts in the field of image recognition.
Conclusion
Xia Meng's innovative work in image recognition, particularly his patented method for evaluating DWI-FLAIR mismatch, showcases his commitment to advancing medical imaging technologies. His contributions have the potential to significantly impact the efficiency of medical diagnostics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile