Patents by Inventor Nikolaos BOURBAKIS

Nikolaos BOURBAKIS 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).

  • Classification of polyps using learned image analysis
    Patent number: 11666286
    Abstract: Computational techniques are applied to video images of polyps to extract features and patterns from different perspectives of a polyp. The extracted features and patterns are synthesized using registration techniques to remove artifacts and noise, thereby generating improved images for the polyp. The generated images of each polyp can be used for training and testing purposes, where a machine learning system separates two types of polyps.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: June 6, 2023
    Assignees: BAYLOR RESEARCH INSTITUTE, WRIGHT STATE UNIVERSITY
    Inventors: Themistocles Dassopoulos, Nikolaos Bourbakis
  • CLASSIFICATION OF POLYPS USING LEARNED IMAGE ANALYSIS
    Publication number: 20210397904
    Abstract: Computational techniques are applied to video images of polyps to extract features and patterns from different perspectives of a polyp. The extracted features and patterns are synthesized using registration techniques to remove artifacts and noise, thereby generating improved images for the polyp. The generated images of each polyp can be used for training and testing purposes, where a machine learning system separates two types of polyps.
    Type: Application
    Filed: June 30, 2021
    Publication date: December 23, 2021
    Applicants: BAYLOR RESEARCH INSTITUTE, WRIGHT STATE UNIVERSITY
    Inventors: Themistocles DASSOPOULOS, Nikolaos BOURBAKIS
  • Classification of polyps using learned image analysis
    Patent number: 11055581
    Abstract: Computational techniques are applied to video images of polyps to extract features and patterns from different perspectives of a polyp. The extracted features and patterns are synthesized using registration techniques to remove artifacts and noise, thereby generating improved images for the polyp. The generated images of each polyp can be used for training and testing purposes, where a machine learning system separates two types of polyps.
    Type: Grant
    Filed: October 6, 2017
    Date of Patent: July 6, 2021
    Assignee: Baylor Research Institute
    Inventors: Themistocles Dassopoulos, Nikolaos Bourbakis
  • CLASSIFICATION OF POLYPS USING LEARNED IMAGE ANALYSIS
    Publication number: 20200265275
    Abstract: Computational techniques are applied to video images of polyps to extract features and patterns from different perspectives of a polyp. The extracted features and patterns are synthesized using registration techniques to remove artifacts and noise, thereby generating improved images for the polyp. The generated images of each polyp can be used for training and testing purposes, where a machine learning system separates two types of polyps.
    Type: Application
    Filed: October 6, 2017
    Publication date: August 20, 2020
    Inventors: Themistocles DASSOPOULOS, Nikolaos BOURBAKIS