Patents by Inventor Justin Zhang

Justin Zhang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230394340
    Abstract: A method for denoising magnetic resonance images and data is disclosed herein. An example method includes receiving a series of MRF images from a scanning device; identifying one or more subsets of voxels for the series of MRF images; generating one or more sets of eigenvectors, each set of the one or more sets of eigenvectors corresponding to one of the one or more subsets of voxels, and each eigenvector of the one or more sets of eigenvectors having a corresponding eigenvalue; applying a noise distribution model to each of the eigenvalues; identifying a subset of the eigenvalues as corresponding to noise based on the noise distribution model; and reconstructing the series of MRF images without the subset of eigenvalues identified as corresponding to noise.
    Type: Application
    Filed: May 30, 2023
    Publication date: December 7, 2023
    Inventors: Kayvan Najarian, Justin Zhang, Keith D. Aaronson, Jessica R. Golbus, Jonathan Gryak, Harm Derksen, Heming Yao
  • Publication number: 20190026635
    Abstract: Disclosed herein are system, method, and computer program product embodiments for vehicular telematics with virtual-reality monitoring capabilities. An example system may establish a data connection to a plurality of sensors corresponding to at least one component of a vehicle, retrieve status information corresponding to the at least one component of the vehicle, from the plurality of sensors, send the status information retrieved from the plurality of sensors to a data set, receive at least one result of predictive analytics performed with the data set, and generate output via an interface. Other embodiments may additionally place requests for new parts or service based on the at least one result of the predictive analytics. The data set may be a structured database or an unstructured cluster. Big data analytics may use simulations for predictions. Output may leverage virtual reality or augmented reality to improve ease of use and intuitiveness for any role of users.
    Type: Application
    Filed: July 24, 2017
    Publication date: January 24, 2019
    Inventors: Xuemin WANG, Justin Zhang, Brook Zhao, Lin Cai, Rajnish Prasad