Shanghai, China

Guotao Quan

USPTO Granted Patents = 16 

Average Co-Inventor Count = 2.1

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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16 patents (USPTO):Explore Patents

Title: Exploring the Innovations of Guotao Quan

Introduction

Guotao Quan, an accomplished inventor based in Shanghai, China, has made significant contributions to the field of imaging technology. With a remarkable portfolio of 15 patents, his work reflects a deep commitment to advancing the capabilities of imaging systems and processes.

Latest Patents

Among Guotao Quan's latest inventions are two noteworthy patents. The first, titled "Imaging systems and methods thereof," discloses a method, system, and non-transitory computer-readable medium. This invention involves acquiring image data from a target subject positioned on a scanning table, determining positional information related to the subject, and utilizing an imaging device to scan the subject based on the gathered data.

The second patent focuses on "Systems and methods for generating a neural network model for image processing." This innovative method involves interacting with client terminals to receive training samples, which are then used to develop a robust neural network model tailored for image processing tasks.

Career Highlights

Guotao Quan's professional journey includes significant contributions while working at Shanghai United Imaging Healthcare Co., Ltd. His role at the company underscores his expertise in imaging technology and his commitment to pursuing innovative solutions that address complex challenges in the field.

Collaborations

Throughout his career, Guotao has collaborated with talented professionals such as Yuan Bao and Haining Sun. These collaborations not only enhance the creative process behind his inventions but also reflect a team-oriented approach to innovation.

Conclusion

Guotao Quan stands out as a leading innovator in imaging technology, with a portfolio that emphasizes cutting-edge methodologies and neural network applications. His contributions have the potential to reshape the landscape of imaging systems, making significant strides in both healthcare and technology sectors.

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