Patents by Inventor Qingneng LI

Qingneng LI 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).

  • Apriori guidance network for multitask medical image synthesis
    Patent number: 11915401
    Abstract: An apriori guidance network for multitask medical image synthesis is provided. The apriori guidance network includes a generator and a discriminator, wherein the generator includes an apriori guidance module configured to convert an input feature map into a target modal image pointing to a target domain according to an apriori feature, and the apriori feature is a deep feature of the target modal image. The generator is configured to generate a corresponding target domain image by taking the apriori feature of the target modal image and source modal image data as an input. The discriminator is configured to discriminate an authenticity of the target domain image outputted by the generator.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: February 27, 2024
    Assignee: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
    Inventors: Dong Liang, Zhanli Hu, Hairong Zheng, Xin Liu, Qingneng Li, Yongfeng Yang
  • APRIORI GUIDANCE NETWORK FOR MULTITASK MEDICAL IMAGE SYNTHESIS
    Publication number: 20230031910
    Abstract: An apriori guidance network for multitask medical image synthesis is provided. The apriori guidance network includes a generator and a discriminator, wherein the generator includes an apriori guidance module configured to convert an input feature map into a target modal image pointing to a target domain according to an apriori feature, and the apriori feature is a deep feature of the target modal image. The generator is configured to generate a corresponding target domain image by taking the apriori feature of the target modal image and source modal image data as an input. The discriminator is configured to discriminate an authenticity of the target domain image outputted by the generator.
    Type: Application
    Filed: December 9, 2020
    Publication date: February 2, 2023
    Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
    Inventors: Dong LIANG, Zhanli HU, Hairong ZHENG, Xin LIU, Qingneng LI, Yongfeng YANG