Patents by Inventor Bruno Lay

Bruno Lay 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).

  • Publication number: 20220181007
    Abstract: An electronic device is disclosed. The device receives retinal images and patient data corresponding to the retinal images. The device can train a first machine learning model (“model”) based on a first group of the retinal images and patient data corresponding to the first group and a second model based on a second group of the retinal images and patient data corresponding to the second group. The electronic device can generate a first prediction based on the first subset of a third group of the retinal images and a second prediction based on the second subset of the third group. After training the first model and the second model, the device can train a third model to predict a geographic atrophy progression in an eye of a patient based on the first and second predictions, the first and second subsets, and patient data corresponding to the first and second subset.
    Type: Application
    Filed: March 5, 2020
    Publication date: June 9, 2022
    Inventors: Guillaume MEYERS-NORMAND, Ronan DANNO, Bruno LAY, Gwenolé QUELLEC, Georges WEISSGERBER
  • Patent number: 8923578
    Abstract: A computer-implemented method for use in assessing a cornea which includes selecting a principal image from among a series of layered images of the cornea. The computer-implemented method further includes detecting a plurality of corneal structures in the principal image and providing a quantitative analysis of the plurality of corneal structures.
    Type: Grant
    Filed: April 28, 2011
    Date of Patent: December 30, 2014
    Assignee: Alcon Research, Ltd.
    Inventors: Jami R. Kern, Christine Sindt, Bruno Lay
  • Publication number: 20110274322
    Abstract: A computer-implemented method for use in assessing a cornea which includes selecting a principal image from among a series of layered images of the cornea. The computer-implemented method further includes detecting a plurality of corneal structures in the principal image and providing a quantitative analysis of the plurality of corneal structures.
    Type: Application
    Filed: April 28, 2011
    Publication date: November 10, 2011
    Applicant: ALCON RESEARCH, LTD.
    Inventors: Jami R. Kern, Christine Sindt, Bruno Lay