Pan Liu

Title: Pan Liu: Innovator in Intracranial Imaging Technology

Introduction

Pan Liu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of medical imaging, particularly in the processing of intracranial large vessel images. With a total of six patents to his name, Liu's work is at the forefront of innovation in this critical area of healthcare technology.

Latest Patents

Liu's latest patents include a method and system for processing intracranial large vessel images, as well as an electronic device and medium designed for this purpose. The method involves acquiring original intracranial large vessel images of a target to be identified and a sample subject. It applies a cerebrovascular segmentation model to obtain cerebrovascular mask images, computes regions of interest, and selects corresponding regions from the original images. The process includes preprocessing these images to obtain images ready for analysis, annotating target regions, and training a convolutional neural network model for cerebrovascular occlusion classification. Another patent focuses on an image processing method that involves receiving request information for transmitting target data, determining transmission parameters, and receiving the target data based on these parameters.

Career Highlights

Pan Liu has worked at notable institutions such as Beijing University of Technology and the Chinese Academy of Sciences. His experience in these prestigious organizations has allowed him to develop and refine his innovative techniques in medical imaging.

Collaborations

Liu has collaborated with esteemed colleagues, including Xiaodong Han and Yonghai Yue. Their joint efforts have contributed to advancements in the field of imaging technology.

Conclusion

Pan Liu's work in the realm of intracranial imaging technology showcases his dedication to innovation and improvement in medical diagnostics. His patents reflect a commitment to enhancing the accuracy and efficiency of cerebrovascular assessments, ultimately benefiting patient care.