Los Altos, CA, United States of America

Joseph Yitan Cheng

This inventor holds 16 USPTO granted patents. Top assignees: Leland Stanford Junior University, General Electric Company, University of California. Active years: 2017-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joseph Yitan Cheng. Retrieved from https://idiyas.com/inventor/joseph-yitan-cheng

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 52(Granted Patents)


Location History:

  • Palo Alto, CA (US) (2019)
  • Stanford, CA (US) (2017 - 2021)
  • Santa Clara, CA (US) (2021)
  • Los Altos, CA (US) (2019 - 2023)

Company Filing History:


Years Active: 2017-2023

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16 patents (USPTO):Explore Patents

Title: **The Innovative Mind of Joseph Yitan Cheng**

Introduction: Joseph Yitan Cheng, based in Los Altos, California, is a prominent inventor known for his significant contributions to the field of magnetic resonance imaging (MRI). With a total of 16 patents to his name, Cheng has been at the forefront of innovations that enhance imaging technology and improve medical diagnostics.

Latest Patents: Among his latest inventions, Cheng has developed groundbreaking methods that leverage deep learning to address challenges in MRI. One such patent is the "Deep Learning Method for Nonstationary Image Artifact Correction." This invention focuses on correcting non-stationary off-resonance image artifacts in MRI. The apparatus performs imaging acquisitions using non-Cartesian trajectories and processes these acquisitions to yield a final image. Notably, a convolutional neural network (CNN), specifically a residual network with multiple residual layers, is employed to enhance image quality by correcting artifacts effectively.

Another noteworthy patent by Cheng is the "Method for Correction of Phase-Contrast Magnetic Resonance Imaging Data Using a Neural Network." In this method, phase contrast 3D spatiotemporal MRI image data is acquired and inputted into a three-dimensional convolutional neural network. This process results in a phase unwrapping estimate, which is used alongside the acquired image data to produce a final output, thereby improving the clarity and accuracy of the imaging results.

Career Highlights: Cheng has worked at prestigious institutions such as Leland Stanford Junior University and the University of California, where he has contributed to groundbreaking research in MRI technology and deep learning applications in imaging.

Collaborations: Throughout his career, Cheng has collaborated with renowned professionals, including Shreyas S. Vasanawala and John Mark Pauly. These partnerships have further enhanced the impact of his innovations in the medical imaging field.

Conclusion: Joseph Yitan Cheng's contributions have made a significant impact in the domain of magnetic resonance imaging. Through his innovative patents and collaborative efforts, he continues to push the boundaries of technology, enhancing the capabilities of medical diagnostics and paving the way for future advancements in the field.

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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