Patents by Inventor Kyle HASENSTAB

Kyle HASENSTAB 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).

  • Deep learning volumetric deformable registration
    Patent number: 12541852
    Abstract: A method and system for automated deformable registration of an organ from medical images includes generating segmentations of the organ by processing a first and second series of images corresponding to different organ states using a first trained CNN. A second trained CNN processes the first and second series of images and the segmentations to deformably register the second series of images to the first series of images. The second trained CNN predicts a displacement field by minimizing a registration loss function, where the displacement field maximizes colocalization of the organ between the different states.
    Type: Grant
    Filed: January 23, 2023
    Date of Patent: February 3, 2026
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Albert Hsiao, Kyle Hasenstab
  • DEEP LEARNING VOLUMETRIC DEFORMABLE REGISTRATION
    Publication number: 20230237661
    Abstract: A method and system for automated deformable registration of an organ from medical images includes generating segmentations of the organ by processing a first and second series of images corresponding to different organ states using a first trained CNN. A second trained CNN processes the first and second series of images and the segmentations to deformably register the second series of images to the first series of images. The second trained CNN predicts a displacement field by minimizing a registration loss function, where the displacement field maximizes colocalization of the organ between the different states.
    Type: Application
    Filed: January 23, 2023
    Publication date: July 27, 2023
    Inventors: Albert HSIAO, Kyle HASENSTAB