Shanghai, China

Xiaoqian Huang


Average Co-Inventor Count = 3.1

ph-index = 2

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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6 patents (USPTO):

Title: Innovations of Xiaoqian Huang in Magnetic Resonance Imaging

Introduction

Xiaoqian Huang is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of magnetic resonance imaging (MRI) through his innovative patents. With a total of six patents to his name, Huang's work focuses on enhancing MRI technology and improving imaging techniques.

Latest Patents

Huang's latest patents include groundbreaking systems and methods for magnetic resonance imaging. One of his notable inventions is a system that obtains at least one training sample, which includes full MRI data. This system generates a subsampling model corresponding to an MRI reconstruction model by jointly training preliminary models using the training sample. Another significant patent involves methods for magnetic resonance image reconstruction, where k-space data associated with MR signals is utilized to generate estimated images based on a target neural network model. This method aims to improve the quality of images obtained from MRI scans.

Career Highlights

Throughout his career, Xiaoqian Huang has worked with leading companies in the imaging sector. He has been associated with Shanghai United Imaging Intelligence Co., Ltd. and Shanghai United Imaging Healthcare Co., Ltd. His work in these organizations has allowed him to develop and refine his innovative ideas in MRI technology.

Collaborations

Huang has collaborated with notable colleagues, including Guobin Li and Nan Liu. These partnerships have contributed to the advancement of his research and the successful development of his patented technologies.

Conclusion

Xiaoqian Huang's contributions to magnetic resonance imaging demonstrate his commitment to innovation in the field. His patents reflect a deep understanding of MRI technology and a desire to improve imaging techniques for better diagnostic outcomes.

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