Patents by Inventor Martin Andreas Styner

Martin Andreas Styner 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).

  • Methods, systems, and computer readable media for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder
    Patent number: 11276500
    Abstract: Methods, systems, and computer readable media for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder are disclosed. One method for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder includes receiving brain imaging data for a human subject of at least one first age. The method also includes determining, from the brain imaging data, measurements of brain structural characteristics of the human subject and inputting the brain structural characteristics into a model that predicts, using the measurements of the brain structural characteristics, a diagnosis of a neurobehavioral disorder at a second age greater than the at least one first age.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: March 15, 2022
    Assignees: THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL, COLLEGE OF CHARLESTON, THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING/MCGILL UNIVERSITY
    Inventors: Martin Andreas Styner, Sun Hyung Kim, Donald Louis Collins, Vladimir S. Fonov, Brent Carl Munsell, Joseph Piven, Heather Cody Hazlett
  • METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR UTILIZING BRAIN STRUCTURAL CHARACTERISTICS FOR PREDICTING A DIAGNOSIS OF A NEUROBEHAVIORAL DISORDER
    Publication number: 20190148021
    Abstract: Methods, systems, and computer readable media for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder are disclosed. One method for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder includes receiving brain imaging data for a human subject of at least one first age. The method also includes determining, from the brain imaging data, measurements of brain structural characteristics of the human subject and inputting the brain structural characteristics into a model that predicts, using the measurements of the brain structural characteristics, a diagnosis of a neurobehavioral disorder at a second age greater than the at least one first age.
    Type: Application
    Filed: December 28, 2018
    Publication date: May 16, 2019
    Inventors: Martin Andreas Styner, Sun Hyung Kim, Donald Louis Collins, Vladimir S. Fonov, Brent Carl Munsell, Joseph Piven, Heather Cody Hazlett