Stanford, CA, United States of America

Zhongnan Fang

This inventor holds 8 USPTO granted patents and 2 published patent applications, plus 4 CIPO patents and 5 EPO patents. Top assignees: Lvis Corporation, University of California, Leland Stanford Junior University. Active years: 2019-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhongnan Fang. Retrieved from https://idiyas.com/inventor/zhongnan-fang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 8 

% Patents Active = 100.0

 

 

Average Co-Inventor Count = 2.2

ph-index = 1

Forward Citations = 13(Granted Patents)


Location History:

  • Stanford, CA (US) (2020 - 2022)
  • Los Angeles, CA (US) (2019 - 2023)
  • Santa Clara, CA (US) (2021 - 2024)

Company Filing History:


Years Active: 2019-2024

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8 patents (USPTO):Explore Patents

Title: Innovator Zhongnan Fang: Pioneering Advancements in Imaging and Therapy

Introduction

Zhongnan Fang, an accomplished inventor based in Stanford, California, has made significant contributions to the fields of imaging and therapeutic technologies. With a portfolio of eight patents, Fang continues to push the boundaries of innovation, developing solutions that leverage advanced deep learning techniques.

Latest Patents

Fang's latest patents showcase his expertise in generating and analyzing images. One notable patent is titled "Systems and methods for generating thin image slices from thick image slices." This invention describes a method where a deep learning system calculates a residual from a thick image slice and adds it back to create a thin slice image. The system incorporates a neural network with multiple levels, each containing convolution blocks and non-linear activation function blocks, arranged in a cascaded format.

Another remarkable patent focuses on predicting therapy efficacy and parameters using patient-specific data and therapeutic brain network maps. This innovation explores how Vagus Nerve Stimulation (VNS) parameters can be predicted by comparing patient EEG data with brain network response maps of various VNS therapy parameters. These advancements have the potential to enhance personalized patient care significantly.

Career Highlights

Zhongnan Fang's career reflects a commitment to research and innovation. He has worked at Lvis Corporation, where he contributed to the development of cutting-edge technologies. Additionally, Fang was associated with the University of California, collaborating with various experts to expand the frontiers of medical and imaging technology.

Collaborations

Throughout his career, Fang has collaborated with notable professionals, including Jin Hyung Lee and Akshay S Chaudhari. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions in their respective fields.

Conclusion

Zhongnan Fang's contributions to imaging and therapy reflect a deep understanding of both technology and patient needs. With his impressive track record of patents and collaborative efforts, Fang continues to be a vital force in advancing the fields of deep learning and therapeutic applications. His innovative spirit promises to lead to even more groundbreaking discoveries in the future.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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