Patents by Inventor Zhengyang SHEN

Zhengyang SHEN 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).

  • CLASSIFYING A LESION BASED ON LONGITUDINAL STUDIES
    Publication number: 20230351601
    Abstract: A computer-implemented method is for classifying a lesion. In an embodiment, the method includes receiving a first medical image of an examination volume, the first medical image corresponding to a first examination time; receiving a second medical image of the examination volume, the second medical image corresponding to a second examination time, different from the first examination time; determining a first lesion area corresponding to a lesion within the first medical image; determining a registration function based on a comparison of the first medical image and the second medical image; determining a second lesion area within the second medical image based on the registration function and the first lesion area; and classifying the lesion within the first medical image based on the second lesion area. A computer-implemented method for providing a trained classification function, a classification system, and computer program products and computer-readable media are also disclosed.
    Type: Application
    Filed: July 10, 2023
    Publication date: November 2, 2023
    Applicant: Siemens Healthcare GmbH
    Inventors: Siqi LIU, Yuemeng LI, Arnaud Arindra ADIYOSO, Bogdan GEORGESCU, Sasa GRBIC, Ziming QIU, Zhengyang SHEN
  • Classifying a lesion based on longitudinal studies
    Patent number: 11748886
    Abstract: A computer-implemented method is for classifying a lesion. In an embodiment, the method includes receiving a first medical image of an examination volume, the first medical image corresponding to a first examination time; receiving a second medical image of the examination volume, the second medical image corresponding to a second examination time, different from the first examination time; determining a first lesion area corresponding to a lesion within the first medical image; determining a registration function based on a comparison of the first medical image and the second medical image; determining a second lesion area within the second medical image based on the registration function and the first lesion area; and classifying the lesion within the first medical image based on the second lesion area. A computer-implemented method for providing a trained classification function, a classification system, and computer program products and computer-readable media are also disclosed.
    Type: Grant
    Filed: April 13, 2021
    Date of Patent: September 5, 2023
    Assignee: SIEMENS HEALTHCARE GMBH
    Inventors: Siqi Liu, Yuemeng Li, Arnaud Arindra Adiyoso, Bogdan Georgescu, Sasa Grbic, Ziming Qiu, Zhengyang Shen
  • CLASSIFYING A LESION BASED ON LONGITUDINAL STUDIES
    Publication number: 20210334970
    Abstract: A computer-implemented method is for classifying a lesion. In an embodiment, the method includes receiving a first medical image of an examination volume, the first medical image corresponding to a first examination time; receiving a second medical image of the examination volume, the second medical image corresponding to a second examination time, different from the first examination time; determining a first lesion area corresponding to a lesion within the first medical image; determining a registration function based on a comparison of the first medical image and the second medical image; determining a second lesion area within the second medical image based on the registration function and the first lesion area; and classifying the lesion within the first medical image based on the second lesion area. A computer-implemented method for providing a trained classification function, a classification system, and computer program products and computer-readable media are also disclosed.
    Type: Application
    Filed: April 13, 2021
    Publication date: October 28, 2021
    Inventors: Siqi LIU, Yuemeng LI, Arnaud Arindra ADIYOSO, Bogdan GEORGESCU, Sasa GRBIC, Ziming QIU, Zhengyang SHEN