Patents by Inventor Themistocles Dassopoulos

Themistocles Dassopoulos 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
  • SYSTEM AND METHOD FOR AUTOMATED DISEASE ASSESSMENT IN CAPSULE ENDOSCOPY
    Publication number: 20120316421
    Abstract: A system and method for automated image analysis which may enhance, for example, capsule endoscopy diagnosis. The system and methods may reduce the time required for diagnosis, and also help improve diagnostic consistency using an interactive feedback tool. Furthermore, the system and methods may be applicable to any procedure where efficient and accurate visual assessment of a large set of images is required.
    Type: Application
    Filed: July 7, 2010
    Publication date: December 13, 2012
    Applicant: The Johns Hopkins University
    Inventors: Rajesh Kumar, Themistocles Dassopoulos, Hani Girgis, Gregory Hager