Patents by Inventor Ali Mollahosseini

Ali Mollahosseini 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).

  • Patent number: 10839510
    Abstract: Various arrangements for identifying and grading cancer in tissue samples are presented. A digital image of a stained tissue sample may be acquired. A Shearlet transform may be performed on the digital image of the stained tissue sample. Shearlet coefficients may be calculated based on the performed Shearlet transform of the normalized digital RGB image of the stained tissue sample. A trained neural network may be applied to create a plurality of feature maps using the digital image and Shearlet coefficients, wherein the trained neural network was trained using a plurality of images and Shearlet coefficients of a plurality of digital images. A classifier may be applied to an output of the trained neural network to identify whether cancer is present in the stained tissue sample. A notification may be output that is indicative of a grade of detected cancer in the sample.
    Type: Grant
    Filed: August 17, 2016
    Date of Patent: November 17, 2020
    Assignee: Colorado Seminary, which owns and operates the University of Denver
    Inventors: Mohammad H. Mahoor, Hadi Rezaeilouyeh, Ali Mollahosseini
  • Patent number: 9810975
    Abstract: Some embodiments of the invention are directed toward a robotic head that includes a head enclosure; a translucent face mask coupled with the head enclosure, having a front side and a rear side; a neck system coupled with the head enclosure and configured to move the head enclosure; and a projector coupled with the head enclosure and disposed to project images of a face onto the rear side of the face mask.
    Type: Grant
    Filed: February 11, 2016
    Date of Patent: November 7, 2017
    Assignee: University of Denver
    Inventors: Mohammad H. Mahoor, Ali Mollahosseini, Luke Skelly, Quinn Martindale-George
  • Publication number: 20170053398
    Abstract: Various arrangements for identifying and grading cancer in tissue samples are presented. A digital image of a stained tissue sample may be acquired. A Shearlet transform may be performed on the digital image of the stained tissue sample. Shearlet coefficients may be calculated based on the performed Shearlet transform of the normalized digital RGB image of the stained tissue sample. A trained neural network may be applied to create a plurality of feature maps using the digital image and Shearlet coefficients, wherein the trained neural network was trained using a plurality of images and Shearlet coefficients of a plurality of digital images. A classifier may be applied to an output of the trained neural network to identify whether cancer is present in the stained tissue sample. A notification may be output that is indicative of a grade of detected cancer in the sample.
    Type: Application
    Filed: August 17, 2016
    Publication date: February 23, 2017
    Applicant: Colorado Seminary, Owner and Operator of University of Denver
    Inventors: Mohammad H. Mahoor, Hadi Rezaeilouyeh, Ali Mollahosseini
  • Publication number: 20160231645
    Abstract: Some embodiments of the invention are directed toward a robotic head that includes a head enclosure; a translucent face mask coupled with the head enclosure, having a front side and a rear side; a neck system coupled with the head enclosure and configured to move the head enclosure; and a projector coupled with the head enclosure and disposed to project images of a face onto the rear side of the face mask.
    Type: Application
    Filed: February 11, 2016
    Publication date: August 11, 2016
    Inventors: Mohammad H. Mahoor, Ali Mollahosseini, Luke Skelly, Quinn Martindale-George