Patents by Inventor Zeev Abraham

Zeev Abraham 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).

  • Dental image segmentation and registration with machine learning
    Patent number: 11645746
    Abstract: A system and method are disclosed for representing and studying anatomy in the oral region such as parts of a subject's teeth and adjoining tissues. Types of inputs are used to form segmented outputs representing the teeth and can include segmented crown and root portions of the teeth. Machine learning methods are used for optimum and accurate results and to generate data objects corresponding to respective anatomical features of the subject.
    Type: Grant
    Filed: November 29, 2019
    Date of Patent: May 9, 2023
    Assignee: Orca Dental AI LTD.
    Inventors: Zeev Abraham, Daniel Abraham, Shlomo Avigdor
  • DENTAL IMAGE SEGMENTATION AND REGISTRATION WITH MACHINE LEARNING
    Publication number: 20200175678
    Abstract: A system and method are disclosed for representing and studying anatomy in the oral region such as parts of a subject's teeth and adjoining tissues. Types of inputs are used to form segmented outputs representing the teeth and can include segmented crown and root portions of the teeth. Machine learning methods are used for optimum and accurate results and to generate data objects corresponding to respective anatomical features of the subject.
    Type: Application
    Filed: November 29, 2019
    Publication date: June 4, 2020
    Inventors: Zeev Abraham, Daniel Abraham, Shlomo Avigdor
  • Automated cephalometric analysis using machine learning
    Patent number: 10049457
    Abstract: A system and method are described for automating the analysis of cephalometric x-rays. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. In an aspect, the system and method employ a deep database of images and/or prior image analysis results so as to improve the outcome from the present automated landmark detection scheme.
    Type: Grant
    Filed: August 29, 2016
    Date of Patent: August 14, 2018
    Assignee: CephX Technologies Ltd.
    Inventors: Zeev Abraham, Daniel Abraham
  • Automated Cephalometric Analysis Using Machine Learning
    Publication number: 20180061054
    Abstract: A system and method are described for automating the analysis of cephalometric x-rays. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. In an aspect, the system and method employ a deep database of images and/or prior image analysis results so as to improve the outcome from the present automated landmark detection scheme.
    Type: Application
    Filed: August 29, 2016
    Publication date: March 1, 2018
    Inventors: Zeev Abraham, Daniel Abraham