Patents by Inventor Mohammed Elmogy

Mohammed Elmogy 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).

  • Segmentation of retinal blood vessels in optical coherence tomography angiography images
    Patent number: 11534064
    Abstract: Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: December 27, 2022
    Assignees: University of Louisville Research Foundation, Inc., University of Massachusetts
    Inventors: Ayman El-Baz, Nabila Eldawi, Shlomit Schaal, Mohammed Elmogy, Harpal Sandhu, Robert S. Keynton, Ahmed Soliman
  • Computer aided diagnosis system for mild cognitive impairment
    Patent number: 11151717
    Abstract: A non-invasive computer-aided diagnosis system generates a diagnosis of mild cognitive impairment, a disease state which often leads to the development of Alzheimer's disease. The system uses as inputs both functional positron emission tomography and structural magnetic resonance imaging data, reconstructs a model of the patient's cortex, uses machine-learning techniques to generate probabilities for mild cognitive impairments for local cortical regions, uses machine-learning techniques to fuse the local diagnoses to generate a global diagnosis based on each imaging modality, then uses machine-learning techniques to fuse the modality-specific global diagnoses to generate a final global diagnosis.
    Type: Grant
    Filed: October 21, 2019
    Date of Patent: October 19, 2021
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Fatmaelzahraa El-Gamal, Mohammed Elmogy, Gregory N. Barnes
  • SEGMENTATION OF RETINAL BLOOD VESSELS IN OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IMAGES
    Publication number: 20200178794
    Abstract: Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.
    Type: Application
    Filed: June 20, 2018
    Publication date: June 11, 2020
    Applicants: University of Louisville Research Foundation, Inc., University of Massachusetts
    Inventors: Ayman El-Baz, Nabila Eldawi, Shlomit Schaal, Mohammed Elmogy, Harpal Sandu
  • COMPUTER AIDED DIAGNOSIS SYSTEM FOR MILD COGNITIVE IMPAIRMENT
    Publication number: 20200126221
    Abstract: A non-invasive computer-aided diagnosis system generates a diagnosis of mild cognitive impairment, a disease state which often leads to the development of Alzheimer's disease. The system uses as inputs both functional positron emission tomography and structural magnetic resonance imaging data, reconstructs a model of the patient's cortex, uses machine-learning techniques to generate probabilities for mild cognitive impairments for local cortical regions, uses machine-learning techniques to fuse the local diagnoses to generate a global diagnosis based on each imaging modality, then uses machine-learning techniques to fuse the modality-specific global diagnoses to generate a final global diagnosis.
    Type: Application
    Filed: October 21, 2019
    Publication date: April 23, 2020
    Applicant: UNIVERSITY OF LOUISVILLE RESEARCH FOUNDATION, INC.
    Inventors: Ayman S. El-Baz, Fatmaelzahraa El-Gamal, Mohammed Elmogy, Gregory N. Barnes