Mountain View, CA, United States of America

Xucheng Zhu

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.3

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Xucheng Zhu: Innovator in Magnetic Resonance Imaging Technology

Introduction

Xucheng Zhu is a prominent inventor based in Mountain View, CA (US), known for his contributions to the field of magnetic resonance imaging (MRI). With a total of 3 patents to his name, Zhu has made significant advancements in image processing and deep learning applications within healthcare technology.

Latest Patents

Zhu's latest patents include innovative systems and methods for magnetic resonance image processing using neural networks. One of his notable inventions is a magnetic resonance image processing system that utilizes a neural network model to process crude MR data and output refined MR images. This system is designed to enhance the quality of imaging by training the neural network with both pristine and corrupted data.

Another significant patent focuses on deep learning-based accelerated magnetic resonance imaging. This invention involves providing sensitivity maps for MRI coils to a neural network, which processes interleaved k-space data to produce a final reconstructed MR image. This technology aims to improve the field of view during MRI scans, enhancing the overall imaging experience.

Career Highlights

Xucheng Zhu has established himself as a key figure in the healthcare technology sector, particularly through his work at GE Precision Healthcare LLC. His expertise in MRI technology and neural networks has positioned him at the forefront of innovation in medical imaging.

Collaborations

Zhu collaborates with notable professionals in the field, including Robert Marc Lebel and Suryanarayanan S Kaushik. These partnerships contribute to the advancement of MRI technology and the development of cutting-edge solutions in healthcare.

Conclusion

Xucheng Zhu's contributions to magnetic resonance imaging technology demonstrate his commitment to innovation and excellence in the field. His work continues to influence the future of medical imaging, paving the way for improved diagnostic capabilities.

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