Patents by Inventor Jessica R. Golbus

Jessica R. Golbus 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).

  • Novel Tropical Geometry-Based Interpretable Machine Learning Method
    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