Patents by Inventor Alison Gernand

Alison Gernand 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).

  • Systems and methods utilizing artificial intelligence for placental assessment and examination
    Patent number: 11244450
    Abstract: Systems and methods for completing a morphological characterization of an image of a placenta and providing suggested pathological diagnoses are disclosed. A system includes programming instructions that, when executed, cause processing devices to execute commands according to the following logic modules: an Encoder module that receives the digital image of the placenta and outputs a pyramid of feature maps, a SegDecoder module that segments the pyramid of feature maps on a fetal side image and on a maternal side image, a Classification Subnet module that classifies the fetal side image and the maternal side image, and a convolutional IPDecoder module that localizes an umbilical cord insertion point of the placenta from the classified fetal side image and the classified maternal side image. The localized umbilical cord insertion point, segmentation maps for the classified fetal side and maternal side images are provided to an external device for determining the morphological characterization.
    Type: Grant
    Filed: August 18, 2020
    Date of Patent: February 8, 2022
    Assignees: The Penn State Research Foundation, Northwestern University, Sinai Health System
    Inventors: Alison Gernand, James Z. Wang, Jeffery Goldstein, William Parks, Yukun Chen, Zhuomin Zhang, Dolzodmaa Davaasuren, Chenyan Wu
  • SYSTEMS AND METHODS UTILIZING ARTIFICIAL INTELLIGENCE FOR PLACENTAL ASSESSMENT AND EXAMINATION
    Publication number: 20210056691
    Abstract: Systems and methods for completing a morphological characterization of an image of a placenta and providing suggested pathological diagnoses are disclosed. A system includes programming instructions that, when executed, cause processing devices to execute commands according to the following logic modules: an Encoder module that receives the digital image of the placenta and outputs a pyramid of feature maps, a SegDecoder module that segments the pyramid of feature maps on a fetal side image and on a maternal side image, a Classification Subnet module that classifies the fetal side image and the maternal side image, and a convolutional IPDecoder module that localizes an umbilical cord insertion point of the placenta from the classified fetal side image and the classified maternal side image. The localized umbilical cord insertion point, segmentation maps for the classified fetal side and maternal side images are provided to an external device for determining the morphological characterization.
    Type: Application
    Filed: August 18, 2020
    Publication date: February 25, 2021
    Inventors: Alison Gernand, James Z. Wang, Jeffery Goldstein, William Parks, Yukun Chen, Zhuomin Zhang, Dolzodmaa Davaasuren, Chenyan Wu