Patents by Inventor Waleed Ahmed Yousef

Waleed Ahmed Yousef 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).

  • Publication number: 20220327182
    Abstract: A method implements an unsupervised and nonparametric approach for visualizing outliers by invariant detection scoring. The method includes receiving a selection of input data comprising a plurality of input values. The method further includes processing the input data to generate a distance matrix. The method further includes processing the distance matrix to generate neighborhood cumulative distribution function (NCDF) curves. The method further includes processing the NCDF curves to generate scores. The method further includes processing the scores to identify an anomalous value, in the input data, that corresponds to a score, of the scores, meeting a criterion.
    Type: Application
    Filed: March 31, 2022
    Publication date: October 13, 2022
    Inventors: Waleed Ahmed Yousef, Issa Traoré, William Ryan Briguglio
  • Patent number: 10789712
    Abstract: Detecting breast abnormalities includes receiving a first mammographic image having original pixels. A second mammographic image is generated by enhancing the first mammographic image. Enhancing the first mammographic image includes performing the following for each original pixel in at least a subset of the original pixels. A histogram is generated for a region surrounding the original pixel, the region defined by an enhancement sliding window. Using the histogram, a value of the original pixel is revised to obtain a revised value, and the revised value is stored in the second mammographic image. A breast abnormality location is detected based on the second mammographic image.
    Type: Grant
    Filed: July 10, 2018
    Date of Patent: September 29, 2020
    Assignee: MESC Health Ltd
    Inventor: Waleed Ahmed Yousef
  • Publication number: 20190019291
    Abstract: Detecting breast abnormalities includes receiving a first mammographic image having original pixels. A second mammographic image is generated by enhancing the first mammographic image. Enhancing the first mammographic image includes performing the following for each original pixel in at least a subset of the original pixels. A histogram is generated for a region surrounding the original pixel, the region defined by an enhancement sliding window. Using the histogram, a value of the original pixel is revised to obtain a revised value, and the revised value is stored in the second mammographic image. A breast abnormality location is detected based on the second mammographic image.
    Type: Application
    Filed: July 10, 2018
    Publication date: January 17, 2019
    Applicant: MESC Health Ltd
    Inventor: Waleed Ahmed Yousef