Patents by Inventor Hugo Johannes Wilhelmus Louis Aerts

Hugo Johannes Wilhelmus Louis Aerts 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).

  • Method and system for determining a phenotype of a neoplasm in a human or animal body
    Patent number: 9811904
    Abstract: The present invention relates to a decision support system and an image analysis method for providing information for enabling determination of a phenotype of a neoplasm in a human or animal body for enabling prognostication, comprising the steps of: receiving, by a processing unit, image data of the neoplasm; and deriving, by the processing unit, a plurality of image feature parameter values from the image data, said image parameter values relating to image features associated with the neoplasm; and deriving, by said processing unit using a signature model, one or more neoplasm signature model values associated with the neoplasm from said image feature parameter values, wherein said signature model includes a functional relation between or characteristic values of said image feature parameter values for deriving said neoplasm signature model values.
    Type: Grant
    Filed: April 17, 2014
    Date of Patent: November 7, 2017
    Assignee: STICHTING MAASTRICHT RADIATION ONCOLOGY “MAASTRO-CLINIC”
    Inventors: Philippe Lambin, Hugo Johannes Wilhelmus Louis Aerts
  • Method and System for Determining a Phenotype of a Neoplasm in a Human or Animal Body
    Publication number: 20160078613
    Abstract: The present invention relates to a decision support system and an image analysis method for providing information for enabling determination of a phenotype of a neoplasm in a human or animal body for enabling prognostication, comprising the steps of: receiving, by a processing unit, image data of the neoplasm; and deriving, by the processing unit, a plurality of image feature parameter values from the image data, said image parameter values relating to image features associated with the neoplasm; and deriving, by said processing unit using a signature model, one or more neoplasm signature model values associated with the neoplasm from said image feature parameter values, wherein said signature model includes a functional relation between or characteristic values of said image feature parameter values for deriving said neoplasm signature model values
    Type: Application
    Filed: April 17, 2014
    Publication date: March 17, 2016
    Applicant: Stichting Maastricht Radiation Oncology "Maastro-Clinic"
    Inventors: Philippe Lambin, Hugo Johannes Wilhelmus Louis Aerts