Patents by Inventor Joerg Freund

Joerg 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).

  • 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
  • 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