Patents by Inventor Attila Radics

Attila Radics 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).

  • Automated organ risk segmentation machine learning methods and systems
    Patent number: 11810302
    Abstract: Certain examples provide an image data processing system including an anatomy detector to detect an anatomy in an image and to remove items not included in the anatomy from the image. The example system includes a bounding box generator to generate a bounding box around a region of interest in the anatomy. The example system includes a voxel-level segmenter to classify image data within the bounding box at the voxel level to identify an object in the region of interest. The example system includes an output imager to output an indication of the object identified in the region of interest segmented in the image.
    Type: Grant
    Filed: November 2, 2020
    Date of Patent: November 7, 2023
    Assignee: General Electric Company
    Inventors: Pal Tegzes, Attila Radics, Eszter Csernai, Laszlo Rusko
  • AUTOMATED ORGAN RISK SEGMENTATION MACHINE LEARNING METHODS AND SYSTEMS
    Publication number: 20210073987
    Abstract: Certain examples provide an image data processing system including an anatomy detector to detect an anatomy in an image and to remove items not included in the anatomy from the image. The example system includes a bounding box generator to generate a bounding box around a region of interest in the anatomy. The example system includes a voxel-level segmenter to classify image data within the bounding box at the voxel level to identify an object in the region of interest. The example system includes an output imager to output an indication of the object identified in the region of interest segmented in the image.
    Type: Application
    Filed: November 2, 2020
    Publication date: March 11, 2021
    Inventors: Pal Tegzes, Attila Radics, Eszter Csernai, Laszlo Rusko
  • Automated organ risk segmentation machine learning methods and systems
    Patent number: 10825168
    Abstract: Certain examples provide an image data processing system including an anatomy detector to detect an anatomy in an image and to remove items not included in the anatomy from the image. The example system includes a bounding box generator to generate a bounding box around a region of interest in the anatomy. The example system includes a voxel-level segmenter to classify image data within the bounding box at the voxel level to identify an object in the region of interest. The example system includes an output imager to output an indication of the object identified in the region of interest segmented in the image.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: November 3, 2020
    Assignee: General Electric Company
    Inventors: Pal Tegzes, Attila Radics, Eszter Csernai, Laszlo Rusko
  • AUTOMATED ORGAN RISK SEGMENTATION MACHINE LEARNING METHODS AND SYSTEMS
    Publication number: 20180315188
    Abstract: Certain examples provide an image data processing system including an anatomy detector to detect an anatomy in an image and to remove items not included in the anatomy from the image. The example system includes a bounding box generator to generate a bounding box around a region of interest in the anatomy. The example system includes a voxel-level segmenter to classify image data within the bounding box at the voxel level to identify an object in the region of interest. The example system includes an output imager to output an indication of the object identified in the region of interest segmented in the image.
    Type: Application
    Filed: April 20, 2018
    Publication date: November 1, 2018
    Inventors: Pal Tegzes, Attila Radics, Eszter Csernai, Laszlo Rusko