Naperville, IL, United States of America

Feng Gao


Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 38(Granted Patents)


Company Filing History:


Years Active: 2009-2022

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4 patents (USPTO):Explore Patents

Title: Innovations by Feng Gao in X-ray Imaging Technology

Introduction

Feng Gao is a notable inventor based in Naperville, IL, who has made significant contributions to the field of x-ray imaging technology. With a total of four patents to his name, Gao has focused on developing methods and systems that enhance image quality by reducing noise artifacts.

Latest Patents

One of Gao's latest patents is titled "Methods and systems for noise reduction in x-ray imaging." This invention provides various methods for x-ray imaging, including a process where an x-ray detector acquires an image containing noise artifacts caused by electromagnetic interference. The image is then inputted into a trained neural network model to produce a corrected image with the noise artifact removed, thereby improving image quality in real time. Another significant patent is "System and method of eliminating image artifacts," which addresses the elimination of image artifacts caused by electromagnetic interference on a digital x-ray detector. This system utilizes specific photodiodes in a pixel array to measure electromagnetic interference and effectively eliminate it, enhancing the overall imaging process.

Career Highlights

Feng Gao has worked with prominent companies in the healthcare technology sector, including General Electric Company and GE Precision Healthcare LLC. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in medical imaging.

Collaborations

Gao has collaborated with notable colleagues such as James Zhengshe Liu and Kenneth Scott Kump, further enriching his work in the field of x-ray imaging.

Conclusion

Feng Gao's innovative work in x-ray imaging technology demonstrates his commitment to improving medical imaging through advanced methods and systems. His patents reflect a deep understanding of the challenges in the field and a dedication to enhancing image quality for better diagnostic outcomes.

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