Patents by Inventor Khaled Younis

Khaled Younis 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).

  • IMAGE HARMONIZATION FOR DEEP LEARNING MODEL OPTIMIZATION
    Publication number: 20230252614
    Abstract: Techniques are described for optimizing deep learning model performance using image harmonization as a pre-processing step. According to an embodiment, a method comprises decomposing, by a system operatively coupled to a processor, an input image into sub-images. The method further comprises harmonizing the sub-images with corresponding reference sub-images of at least one reference image based on two or more different statistical values respectively calculated for the sub-images and the corresponding reference-sub images, resulting in transformation of the sub-images into modified sub-images images. In some implementations, the modified sub-images can be combined into a harmonized image having a more similar appearance to the at least one reference image relative to the input image.
    Type: Application
    Filed: April 21, 2023
    Publication date: August 10, 2023
    Inventors: Tao Tan, Pál Tegzes, Levente Imre Török, Lehel Ferenczi, Gopal B. Avinash, László Ruskó, Gireesha Chinthamani Rao, Khaled Younis, Soumya Ghose
  • Image harmonization for deep learning model optimization
    Patent number: 11669945
    Abstract: Techniques are described for optimizing deep learning model performance using image harmonization as a pre-processing step. According to an embodiment, a method comprises decomposing, by a system operatively coupled to a processor, an input image into sub-images. The method further comprises harmonizing the sub-images with corresponding reference sub-images of at least one reference image based on two or more different statistical values respectively calculated for the sub-images and the corresponding reference-sub images, resulting in transformation of the sub-images into modified sub-images images. In some implementations, the modified sub-images can be combined into a harmonized image having a more similar appearance to the at least one reference image relative to the input image.
    Type: Grant
    Filed: April 27, 2020
    Date of Patent: June 6, 2023
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Tao Tan, Pál Tegzes, Levente Imre Török, Lehel Ferenczi, Gopal B. Avinash, László Ruskó, Gireesha Chinthamani Rao, Khaled Younis, Soumya Ghose
  • IMAGE HARMONIZATION FOR DEEP LEARNING MODEL OPTIMIZATION
    Publication number: 20210334598
    Abstract: Techniques are described for optimizing deep learning model performance using image harmonization as a pre-processing step. According to an embodiment, a method comprises decomposing, by a system operatively coupled to a processor, an input image into sub-images. The method further comprises harmonizing the sub-images with corresponding reference sub-images of at least one reference image based on two or more different statistical values respectively calculated for the sub-images and the corresponding reference-sub images, resulting in transformation of the sub-images into modified sub-images images. In some implementations, the modified sub-images can be combined into a harmonized image having a more similar appearance to the at least one reference image relative to the input image.
    Type: Application
    Filed: April 27, 2020
    Publication date: October 28, 2021
    Inventors: Tao Tan, Pál Tegzes, Levente Imre Török, Lehel Ferenczi, Gopal B. Avinash, László Ruskó, Gireesha Chinthamani Rao, Khaled Younis, Soumya Ghose