Patents by Inventor Uri Neeman

Uri Neeman 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 for generating clinically relevant images that preserve physical attributes of humans while protecting personal identity
    Patent number: 12154274
    Abstract: There is provided a method of generating a dataset of synthetic images, comprising: for each real image each depicting a real human anatomical structure: extracting and preserving a real anatomical structure region(s) from the real image, generating a synthetic image comprising a synthetic human anatomical structure region and the preserved real anatomical structure region(s), designating pairs of images, each including the real image and the synthetic image, feeding the pair into a machine learning model trained to recognize anatomical structure parts to obtain an outcome of a similarity value denoting an amount of similarity between the real image and the synthetic image, verifying that the synthetic image does not depict the real human anatomical structure when the similarity value is below a threshold, wherein an identity of the real human anatomical structure is non-determinable from the synthetic image, and including the verified synthetic image in the dataset.
    Type: Grant
    Filed: December 28, 2023
    Date of Patent: November 26, 2024
    Assignee: RealizeMD Ltd.
    Inventors: Stanislav Khirman, Uri Neeman, Alon Gat, David P. Rapaport, Yoav Duek
  • SYSTEMS AND METHODS FOR GENERATING CLINICALLY RELEVANT IMAGES THAT PRESERVE PHYSICAL ATTRIBUTES OF HUMANS WHILE PROTECTING PERSONAL IDENTITY
    Publication number: 20240135534
    Abstract: There is provided a method of generating a dataset of synthetic images, comprising: for each real image each depicting a real human anatomical structure: extracting and preserving a real anatomical structure region(s) from the real image, generating a synthetic image comprising a synthetic human anatomical structure region and the preserved real anatomical structure region(s), designating pairs of images, each including the real image and the synthetic image, feeding the pair into a machine learning model trained to recognize anatomical structure parts to obtain an outcome of a similarity value denoting an amount of similarity between the real image and the synthetic image, verifying that the synthetic image does not depict the real human anatomical structure when the similarity value is below a threshold, wherein an identity of the real human anatomical structure is non-determinable from the synthetic image, and including the verified synthetic image in the dataset.
    Type: Application
    Filed: December 28, 2023
    Publication date: April 25, 2024
    Applicant: RealizeMD Ltd.
    Inventors: Stanislav KHIRMAN, Uri NEEMAN, Alon GAT, David P. RAPAPORT, Yoav DUEK
  • Systems and methods for generating clinically relevant images that preserve physical attributes of humans while protecting personal identity
    Patent number: 11935238
    Abstract: There is provided a method of generating a dataset of synthetic images, comprising: for each real image each depicting a real human anatomical structure: extracting and preserving a real anatomical structure region(s) from the real image, generating a synthetic image comprising a synthetic human anatomical structure region and the preserved real anatomical structure region(s), designating pairs of images, each including the real image and the synthetic image, feeding the pair into a machine learning model trained to recognize anatomical structure parts to obtain an outcome of a similarity value denoting an amount of similarity between the real image and the synthetic image, verifying that the synthetic image does not depict the real human anatomical structure when the similarity value is below a threshold, wherein an identity of the real human anatomical structure is non-determinable from the synthetic image, and including the verified synthetic image in the dataset.
    Type: Grant
    Filed: April 17, 2023
    Date of Patent: March 19, 2024
    Assignee: RealizeMD Ltd.
    Inventors: Stanislav Khirman, Uri Neeman, Alon Gat, David P. Rapaport
  • SYSTEMS AND METHODS FOR GENERATING CLINICALLY RELEVANT IMAGES THAT PRESERVE PHYSICAL ATTRIBUTES OF HUMANS WHILE PROTECTING PERSONAL IDENTITY
    Publication number: 20230252627
    Abstract: There is provided a method of generating a dataset of synthetic images, comprising: for each real image each depicting a real human anatomical structure: extracting and preserving a real anatomical structure region(s) from the real image, generating a synthetic image comprising a synthetic human anatomical structure region and the preserved real anatomical structure region(s), designating pairs of images, each including the real image and the synthetic image, feeding the pair into a machine learning model trained to recognize anatomical structure parts to obtain an outcome of a similarity value denoting an amount of similarity between the real image and the synthetic image, verifying that the synthetic image does not depict the real human anatomical structure when the similarity value is below a threshold, wherein an identity of the real human anatomical structure is non-determinable from the synthetic image, and including the verified synthetic image in the dataset.
    Type: Application
    Filed: April 17, 2023
    Publication date: August 10, 2023
    Applicant: RealizeMD Ltd.
    Inventors: Stanislav KHIRMAN, Uri NEEMAN, Alon GAT, David P. RAPAPORT
  • Systems and methods for generating clinically relevant images that preserve physical attributes of humans while protecting personal identity
    Patent number: 11631208
    Abstract: A computer implemented method of generating at least one anonymous image, comprises: extracting and preserving at least one real facial region from at least one real image of a real human face, and generating at least one anonymous image comprising a synthetic human face and the preserved at least one real facial region, wherein an identity of the real human face is non-determinable from the at least one anonymous image.
    Type: Grant
    Filed: October 6, 2022
    Date of Patent: April 18, 2023
    Assignee: RealizeMD Ltd.
    Inventors: Stanislav Khirman, Uri Neeman, Alon Gat, David P. Rapaport
  • EXAMINATION DEVICE
    Publication number: 20100076261
    Abstract: A device for imaging a bladder, comprising an image sensor, an illumination source and a device orientation actuator.
    Type: Application
    Filed: September 25, 2007
    Publication date: March 25, 2010
    Applicant: MEDVISION INC.
    Inventors: Uri Neeman, Amos Neeman, Gershon Goldenberg