Patents by Inventor Aimee T. Bui

Aimee T. Bui 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 automatic detection, localization, and semantic segmentation of anatomical objects
    Patent number: 11151721
    Abstract: The present invention is directed to a system and method for automatic detection, localization, and semantic segmentation of at least one anatomical object in a parameter space of an image generated by an imaging system. The method includes generating the image via the imaging system and providing the image of the anatomical object and surrounding tissue to a processor. Further, the method includes developing and training a parameter space deep learning network comprising convolutional neural networks to automatically detect the anatomical object and the surrounding tissue of the parameter space of the image. The method also includes automatically locating and segmenting, via additional convolutional neural networks, the anatomical object and surrounding tissue of the parameter space of the image. Moreover, the method includes automatically labeling the identified anatomical object and surrounding tissue on the image. Thus, the method also includes displaying the labeled image to a user in real time.
    Type: Grant
    Filed: June 29, 2017
    Date of Patent: October 19, 2021
    Assignee: Avent, Inc.
    Inventors: Michael R. Avendi, Kenneth C. Hsu, Shane A. Duffy, Dominique J. Fantasia, Steve S. Khalaj, Hasnain Somji, Aimee T. Bui, Shirzad Shahriari, Ambar A. Avila, Joost L. Mulders
  • System and Method for Automatic Detection, Localization, and Semantic Segmentation of Anatomical Objects
    Publication number: 20190311478
    Abstract: The present invention is directed to a system and method for automatic detection, localization, and semantic segmentation of at least one anatomical object in a parameter space of an image generated by an imaging system. The method includes generating the image via the imaging system and providing the image of the anatomical object and surrounding tissue to a processor. Further, the method includes developing and training a parameter space deep learning network comprising convolutional neural networks to automatically detect the anatomical object and the surrounding tissue of the parameter space of the image. The method also includes automatically locating and segmenting, via additional convolutional neural networks, the anatomical object and surrounding tissue of the parameter space of the image. Moreover, the method includes automatically labeling the identified anatomical object and surrounding tissue on the image. Thus, the method also includes displaying the labeled image to a user in real time.
    Type: Application
    Filed: June 29, 2017
    Publication date: October 10, 2019
    Inventors: Michael R. Avendi, Kenneth C. Hsu, Shane A. Duffy, Dominique J. Fantasia, Steve S. Khalaj, Hasnain Somji, Aimee T. Bui, Shirzad Shahriari, Ambar A. Avila, Joost L. Mulders