Patents by Inventor Jörg Freund

Jörg Freund 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).

  • Computer aided detection and decision support
    Patent number: 8121360
    Abstract: A system for computer aided detection and decision support includes an ontology of image representations for injecting meaning into and adding relationships among image contents, an image understanding and parsing module in communication with the ontology of image representations for extracting structures from an image including the image contents, and a reasoning engine based in communication with the ontology and the image understanding and parsing module for classifying the image contents, wherein the system receives the image and corresponding descriptive information.
    Type: Grant
    Filed: July 25, 2007
    Date of Patent: February 21, 2012
    Assignees: Siemens Medical Solutions USA, Inc., Siemens Aktiengesellschaft, Siemens Corporation
    Inventors: Xiang Zhou, Alok Gupta, Arun Krishnan, Jörg Freund, Dorin Comaniciu
  • Automatic learning of image features to predict disease
    Patent number: 7949167
    Abstract: A method for training a computer system for automatic detection of regions of interest includes receiving patient records. For each of the received patient records a text field and a medical image are identified from within the patient record and the medical image is automatically segmented to identify a structure of interest. The text field is searched for one or more keywords indicative of a particular abnormality associated with the structure of interest. The medical image is added to a grouping representing the particular abnormality when the text field indicates that the patient has the particular abnormality and the medical image is added to a grouping representing the absence of the particular abnormality when the text field does not indicate that the patient has the particular abnormality. The groupings of medical images are used to automatically train a computer system for the subsequent detection of the particular abnormality.
    Type: Grant
    Filed: April 22, 2009
    Date of Patent: May 24, 2011
    Assignees: Siemens Medical Solutions USA, Inc., Siemens Aktiengesellschaft
    Inventors: Arun Krishnan, Xiang Zhou, Martin Huber, Michael Kelm, Joerg Freund
  • Automatic Learning of Image Features to Predict Disease
    Publication number: 20090310836
    Abstract: A method for training a computer system for automatic detection of regions of interest includes receiving patient records. For each of the received patient records a text field and a medical image are identified from within the patient record and the medical image is automatically segmented to identify a structure of interest. The text field is searched for one or more keywords indicative of a particular abnormality associated with the structure of interest. The medical image is added to a grouping representing the particular abnormality when the text field indicates that the patient has the particular abnormality and the medical image is added to a grouping representing the absence of the particular abnormality when the text field does not indicate that the patient has the particular abnormality. The groupings of medical images are used to automatically train a computer system for the subsequent detection of the particular abnormality.
    Type: Application
    Filed: April 22, 2009
    Publication date: December 17, 2009
    Applicants: Siemens Medical Solutions USA, Inc., Siemens Aktiengesellschaft
    Inventors: Arun Krishnan, Xiang Zhou, Martin Huber, Michael Kelm, Joerg Freund