Patents by Inventor Amy Dwyer

Amy Dwyer 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: 10453569
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Grant
    Filed: February 23, 2018
    Date of Patent: October 22, 2019
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata
  • Publication number: 20190237186
    Abstract: A computer aided diagnostic system and automated method to classify a kidney utilizes medical image data and clinical biomarkers in evaluation of kidney function pre- and post-transplantation. The system receives image data from a medical scan that includes image data of a kidney, then segments kidney image data from other image data of the medical scan. The kidney is then classified by analyzing at least one feature determined from the kidney image data and the at least one clinical biomarker.
    Type: Application
    Filed: February 22, 2019
    Publication date: August 1, 2019
    Inventors: Ayman S. El-Baz, Amy Dwyer, Ahmed Soliman, Mohamed Shehata, Hisham Abdeltawab, Fahmi Khalifa
  • Publication number: 20180182482
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Application
    Filed: February 23, 2018
    Publication date: June 28, 2018
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata
  • Patent number: 9928347
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Grant
    Filed: April 1, 2015
    Date of Patent: March 27, 2018
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata
  • Publication number: 20150286786
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Application
    Filed: April 1, 2015
    Publication date: October 8, 2015
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata