Patents by Inventor Gerben Van Veenendaal

Gerben Van Veenendaal 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).

  • Determination of a growth rate of an object in 3D data sets using deep learning
    Patent number: 11996198
    Abstract: A method for automated determination of a growth rate of an object in 3D data sets is described wherein the method may comprise: a first trained 3D detection deep neural network (DNN) determining one or more first VOIs in a current 3D data set and second VOIs in prior 3D data set, a VOI being associated with an abnormality; a registration algorithm, preferably a registration algorithm based on a trained 3D registration DNN, determining a mapping between the one or more first and second VOIs, the mapping providing for a first VOI in the current 3D data set a corresponding second VOI in the prior 3D data set; a second trained 3D segmentation DNN segmenting voxels of a first VOI into first voxels representing the abnormality and voxels of a corresponding second VOI into second voxels representing the abnormality; and, determining a first volume of the abnormality on the basis of the first voxels and a second volume of the abnormality on the basis of the second voxels and using the first and second volume to dete
    Type: Grant
    Filed: September 4, 2019
    Date of Patent: May 28, 2024
    Assignee: AIDENCE IP B.V.
    Inventors: Mark-Jan Harte, Gerben Van Veenendaal
  • DETERMINATION OF A GROWTH RATE OF AN OBJECT IN 3D DATA SETS USING DEEP LEARNING
    Publication number: 20210327583
    Abstract: A method for automated determination of a growth rate of an object in 3D data sets is described wherein the method may comprise: a first trained 3D detection deep neural network (DNN) determining one or more first VOIs in a current 3D data set and second VOIs in prior 3D data set, a VOI being associated with an abnormality; a registration algorithm, preferably a registration algorithm based on a trained 3D registration DNN, determining a mapping between the one or more first and second VOIs, the mapping providing for a first VOI in the current 3D data set a corresponding second VOI in the prior 3D data set; a second trained 3D segmentation DNN segmenting voxels of a first VOI into first voxels representing the abnormality and voxels of a corresponding second VOI into second voxels representing the abnormality; and, determining a first volume of the abnormality on the basisof the first voxels and a second volume of the abnormality on the basis of the second voxels and using the first and second volume to deter
    Type: Application
    Filed: September 4, 2019
    Publication date: October 21, 2021
    Applicant: Aidence IP B.V
    Inventors: Mark-Jan Harte, Gerben Van Veenendaal