Patents by Inventor Lena Philipp

Lena Philipp 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).

  • Quantification of body composition using contrastive learning in CT images
    Patent number: 12548163
    Abstract: Systems and methods for quantification of body composition using contrastive learning in computed tomography (CT) data. A segmentation model is provided that is trained using two stages. An encoder of the segmentation model is pretrained using unlabeled data. The encoder is extended by a decoder which is further trained using labeled data.
    Type: Grant
    Filed: May 11, 2023
    Date of Patent: February 10, 2026
    Assignee: Siemens Healthineers AG
    Inventors: Lena Philipp, Bogdan Georgescu, Bernhard Geiger, Sasa Grbic, Abishek Balachandran
  • QUANTIFICATION OF BODY COMPOSITION USING CONTRASTIVE LEARNING IN CT IMAGES
    Publication number: 20240233129
    Abstract: Systems and methods for quantification of body composition using contrastive learning in computed tomography (CT) data. A segmentation model is provided that is trained using two stages. An encoder of the segmentation model is pretrained using unlabeled data. The encoder is extended by a decoder which is further trained using labeled data.
    Type: Application
    Filed: May 11, 2023
    Publication date: July 11, 2024
    Inventors: Lena Philipp, Bogdan Georgescu, Bernhard Geiger, Sasa Grbic, Abishek Balachandran