Patents by Inventor Nicolas Poilvert

Nicolas Poilvert 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: 10631791
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Grant
    Filed: June 25, 2018
    Date of Patent: April 28, 2020
    Assignee: Caption Health, Inc.
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano, Natalia Bilenko, Charles Chen, Nina Miolane
  • Publication number: 20190392581
    Abstract: A method for clip selection includes receiving through an interface to a medical imaging device, a selection of a diagnostic procedure and a target portion of a mammalian body. Thereafter, the device acquires video clip imagery of the target portion and stores the video clip imagery in an image store. Each video clip of the video clip imagery is then image processed to determine a view and a quality of each video clip and a rule is retrieved from a rules base corresponding to the selected diagnostic procedure and target portion. In this regard, the rule specifies a requisite view and quality of the video clip imagery. Finally, the retrieved rule is applied to the video clip imagery as a filter to produce a subset of video clip imagery satisfying the specified requisite view and quality and the subset of video clip imagery is stored in the image store.
    Type: Application
    Filed: June 25, 2018
    Publication date: December 26, 2019
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert, Michael Cannon, Nathanael Romano, Natalia Bilenko, Charles Chen, Nina Miolane
  • Publication number: 20190392577
    Abstract: Embodiments of the present invention provide a method, system and computer program product for video clip quality determination in medical device imaging and diagnosis. In an embodiment of the invention, a method for video clip quality determination in medical imaging includes first retrieving from a data store into memory of a host computer, video clip imagery of a target organ. Then, a quality value assigned to the video clip imagery may be identified in connection with the retrieved video clip imagery. A measurement of the target organ is computed based upon the retrieved video clip imagery. Finally, a confidence in respect to the computed measurement is determined based upon the identified quality value and the confidence determination displayed in a user interface provided by the host computer.
    Type: Application
    Filed: June 25, 2018
    Publication date: December 26, 2019
    Inventors: Charles Cadieu, Ha Hong, Kilian Koepsell, Nicolas Poilvert, Michael G. Cannon, Nathanael Romano, Ching Hsieh, Samuel Surette, Natalia Bilenko
  • Patent number: 10470677
    Abstract: Embodiments of the invention provide a method, system and computer program product for artificially intelligent ejection fraction determination. In a method for artificially intelligent ejection fraction determination, a neural network is loaded into memory of a computer, that has been trained with different sets of cardiac imaging data acquired during imaging of a ventricle for different hearts and a known ejection fraction for each of the sets. Then, a contemporaneous set of imaging data is acquired of a ventricle of a heart and the contemporaneous set of imaging data is provided to the neural network. Finally, an ejection fraction determination output by the neural network is displayed in a display of the computer without tracing a ventricle boundary of the heart.
    Type: Grant
    Filed: October 11, 2017
    Date of Patent: November 12, 2019
    Assignee: BAY LABS, INC.
    Inventors: Charles Cadieu, Michael G. Cannon, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert
  • Publication number: 20190104949
    Abstract: Embodiments of the invention provide a method, system and computer program product for artificially intelligent ejection fraction determination. In a method for artificially intelligent ejection fraction determination, a neural network is loaded into memory of a computer, that has been trained with different sets of cardiac imaging data acquired during imaging of a ventricle for different hearts and a known ejection fraction for each of the sets. Then, a contemporaneous set of imaging data is acquired of a ventricle of a heart and the contemporaneous set of imaging data is provided to the neural network. Finally, an ejection fraction determination output by the neural network is displayed in a display of the computer without tracing a ventricle boundary of the heart.
    Type: Application
    Filed: October 11, 2017
    Publication date: April 11, 2019
    Inventors: Charles Cadieu, Michael G. Cannon, Ha Hong, Kilian Koepsell, Johan Mathe, Nicolas Poilvert