Patents by Inventor Dana Lin

Dana Lin 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).

  • Determining characteristics of muscle structures using artificial neural network
    Patent number: 12354730
    Abstract: Techniques of determining a quantification of at least one characteristic of a muscle structure comprising at least one muscle and at least one tendon are disclosed. The quantification of the at least one characteristic of the rotator cuff may be determined by using at least one artificial neural network and based on one or more medical images depicting the muscle structure of a patient.
    Type: Grant
    Filed: May 9, 2022
    Date of Patent: July 8, 2025
    Assignees: Siemens Healthineers AG, New York University
    Inventors: Michael Schwier, Bernhard Geiger, Sasa Grbic, Esther Raithel, Dana Lin, Guillaume Chabin
  • Intuitive display for rotator cuff tear diagnostics
    Patent number: 12076158
    Abstract: Systems and methods for an intuitive display of one or more anatomical objects are provided. One or more 3D medical images of one or more anatomical objects of a patient are received. Correspondences between the one or more 3D medical images and points on a 2D map representing the one or more anatomical objects are determined. The 2D map is updated with patient information extracted from the one or more 3D medical images. The updated 2D map with the determined correspondences is output.
    Type: Grant
    Filed: February 5, 2021
    Date of Patent: September 3, 2024
    Assignees: Siemens Healthineers AG, New York University
    Inventors: Bernhard Geiger, Michael Schwier, Sasa Grbic, Esther Raithel, Dana Lin, Guillaume Chabin
  • DETERMINING CHARACTERISTICS OF MUSCLE STRUCTURES USING ARTIFICIAL NEURAL NETWORK
    Publication number: 20220392614
    Abstract: Techniques of determining a quantification of at least one characteristic of a muscle structure comprising at least one muscle and at least one tendon are disclosed. The quantification of the at least one characteristic of the rotator cuff may be determined by using at least one artificial neural network and based on one or more medical images depicting the muscle structure of a patient.
    Type: Application
    Filed: May 9, 2022
    Publication date: December 8, 2022
    Inventors: Michael Schwier, Bernhard Geiger, Sasa Grbic, Esther Raithel, Dana Lin, Guillaume Chabin
  • INTUITIVE DISPLAY FOR ROTATOR CUFF TEAR DIAGNOSTICS
    Publication number: 20220249014
    Abstract: Systems and methods for an intuitive display of one or more anatomical objects are provided. One or more 3D medical images of one or more anatomical objects of a patient are received. Correspondences between the one or more 3D medical images and points on a 2D map representing the one or more anatomical objects are determined. The 2D map is updated with patient information extracted from the one or more 3D medical images. The updated 2D map with the determined correspondences is output.
    Type: Application
    Filed: February 5, 2021
    Publication date: August 11, 2022
    Inventors: Bernhard Geiger, Michael Schwier, Sasa Grbic, Esther Raithel, Dana Lin, Guillaume Chabin
  • Medical image data
    Patent number: 11386553
    Abstract: Medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system to identify a subset of the medical image data representing a region of interest including one or more target tendons. A determination process is performed at the data processing system to determine one or more characteristics relating to one or more abnormalities of the one or more target tendons. Abnormality data is output, the abnormality data relating to the one or more abnormalities and being based on the one or more characteristics.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: July 12, 2022
    Assignees: Siemens Healthcare GmbH, New York University
    Inventors: Jin-hyeong Park, Sasa Grbic, Matthias Fenchel, Esther Raithel, Dana Lin
  • MEDICAL IMAGE DATA
    Publication number: 20200167911
    Abstract: Medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system to identify a subset of the medical image data representing a region of interest including one or more target tendons. A determination process is performed at the data processing system to determine one or more characteristics relating to one or more abnormalities of the one or more target tendons. Abnormality data is output, the abnormality data relating to the one or more abnormalities and being based on the one or more characteristics.
    Type: Application
    Filed: October 10, 2019
    Publication date: May 28, 2020
    Inventors: Jin-hyeong Park, Sasa Grbic, Matthias Fenchel, Esther Raithel, Dana Lin