Patents by Inventor Jonathan Gerald Goldin

Jonathan Gerald Goldin 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).

  • System and Method for Prediction of Disease Progression of Pulmonary Fibrosis Using Medical Images
    Publication number: 20220327693
    Abstract: A method for training a machine learning algorithm that classifies predictive regions-of interest (“ROI”) of progression of idiopathic pulmonary fibrosis. The method includes acquiring a set of computed tomography (CT) images of a plurality of patients and selecting a plurality of ROIs within the set of images. Each of the ROIs designates a label that indicates progression of pulmonary fibrosis and training a machine learning algorithm by inputting the plurality of ROIs and the associated labels into the algorithm. The algorithm identifies the ROIs in the set of images as indicating regions of pulmonary fibrosis within the set of images based on the features.
    Type: Application
    Filed: September 3, 2020
    Publication date: October 13, 2022
    Inventors: Hyun Kim, Yu Shi, Jonathan Gerald Goldin, Weng Kee Wong
  • Lung, lobe, and fissure imaging systems and methods
    Patent number: 9262827
    Abstract: An automated or semi-automated system and methods are disclosed that provide a rapid and repeatable method for identifying lung, lobe, and fissure voxels in CT images, and allowing for quantitative lung assessment and fissure integrity analysis. An automated or semi-automated segmentation and editing system and methods are also disclosed for lung segmentation and identification of lung fissures.
    Type: Grant
    Filed: March 10, 2015
    Date of Patent: February 16, 2016
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Matthew S. Brown, Pechin Lo, Eva Marjolein Van Rikxoort, Jonathan Gerald Goldin
  • LUNG, LOBE, AND FISSURE IMAGING SYSTEMS AND METHODS
    Publication number: 20150254843
    Abstract: An automated or semi-automated system and methods are disclosed that provide a rapid and repeatable method for identifying lung, lobe, and fissure voxels in CT images, and allowing for quantitative lung assessment and fissure integrity analysis. An automated or semi-automated segmentation and editing system and methods are also disclosed for lung segmentation and identification of lung fissures.
    Type: Application
    Filed: March 10, 2015
    Publication date: September 10, 2015
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Matthew S. Brown, Pechin Lo, Eva Marjolein Van Rikxoort, Jonathan Gerald Goldin