Mao Li

Title: Innovations of Mao Li in Human-Computer Interaction and Ocular Imaging

Introduction

Mao Li is a notable inventor based in Chengdu, China, recognized for his contributions to the fields of human-computer interaction and ocular imaging. With a total of two patents, he has developed innovative methods that enhance the interaction between users and technology, as well as improve the precision in ocular imaging.

Latest Patents

Mao Li's latest patents include a "Method for generating human-computer interactive abstract image" and a "Method for positioning key features of a lens based on ocular B-mode ultrasound images." The first patent outlines a process that involves obtaining and preprocessing original abstract images to create a training dataset. This method utilizes a Cycle-GAN model to establish a mapping relationship between edge shape feature maps and original abstract images, ultimately generating a complete abstract image based on user input. The second patent focuses on positioning key features of a lens using ocular B-mode ultrasound images. This method involves preprocessing ultrasound images, utilizing a trained target detection network, and marking key image features to enhance the accuracy of lens positioning.

Career Highlights

Mao Li is affiliated with Sichuan University, where he applies his expertise in research and innovation. His work has significantly contributed to advancements in technology that bridge the gap between human interaction and machine learning.

Collaborations

Mao Li collaborates with esteemed colleagues such as Jiancheng Lv and Quanhui Liu, who contribute to his research endeavors and innovations.

Conclusion

Mao Li's innovative patents reflect his commitment to advancing technology in human-computer interaction and ocular imaging. His work not only enhances user experience but also improves medical imaging techniques, showcasing the impact of his inventions in various fields.