Patents by Inventor Mohamed Shehata

Mohamed Shehata 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).

  • Patent number: 10453569
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Grant
    Filed: February 23, 2018
    Date of Patent: October 22, 2019
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata
  • Publication number: 20190237186
    Abstract: A computer aided diagnostic system and automated method to classify a kidney utilizes medical image data and clinical biomarkers in evaluation of kidney function pre- and post-transplantation. The system receives image data from a medical scan that includes image data of a kidney, then segments kidney image data from other image data of the medical scan. The kidney is then classified by analyzing at least one feature determined from the kidney image data and the at least one clinical biomarker.
    Type: Application
    Filed: February 22, 2019
    Publication date: August 1, 2019
    Inventors: Ayman S. El-Baz, Amy Dwyer, Ahmed Soliman, Mohamed Shehata, Hisham Abdeltawab, Fahmi Khalifa
  • Publication number: 20180182482
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Application
    Filed: February 23, 2018
    Publication date: June 28, 2018
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata
  • Patent number: 9928347
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Grant
    Filed: April 1, 2015
    Date of Patent: March 27, 2018
    Assignee: University of Louisville Research Foundation, Inc.
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata
  • Patent number: 9208554
    Abstract: A system for detecting a class of objects at a location, for example humans on a conveyor belt. A thermal camera may be used to detect objects and to detect the variance of the heat distribution of objects to classify them. Objects detected in an image from one camera may be detected in an image from another camera using geometric correction. A color camera may be used to detect the number of edges and the number of colors of an object to classify it. A color camera may be used with an upright human body classifier to detect humans in an area, and blobs corresponding to the detected humans may be tracked in a thermal or color camera image to detect if a human enters an adjacent forbidden area such as a conveyor belt.
    Type: Grant
    Filed: January 16, 2012
    Date of Patent: December 8, 2015
    Assignee: Intelliview Technologies Inc.
    Inventors: Mohamed Shehata, Tamer Mohamed, Wael Badawy
  • Publication number: 20150286786
    Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.
    Type: Application
    Filed: April 1, 2015
    Publication date: October 8, 2015
    Inventors: Ayman S. El-Baz, Amy Dwyer, Rosemary Ouseph, Fahmi Khalifa, Ahmed Soliman, Mohamed Shehata
  • Publication number: 20150065694
    Abstract: Here, we describe a preassembled plasmonic resonance nanocluster. One embodiment is used for microbe detection and typing. The metallic nanoparticle acceptors with microbe surface antigen epitope, and quantum dot (QD) donors with Fab antibody, are assembled into an immuno-mediated 3D-oriented complex with enhanced energy transfer and fluorescence quenching. The coherent plasmonic resonance between the metal and QD nanoparticles is exploited to achieve improved donor-acceptor resonance within the nanocluster, which in the presence of microbial particles is disassembled in a highly specific manner. The nanocluster provides high detection specificity and sensitivity of the microbes, with a sensitivity limit down to 1-100 particles per microliter and to attomolar levels of a surface antigen epitope. A few specific examples of the plasmonic resonance nanocluster used in microbe detection are disclosed along with ways in which the complex can be easily modified for additional microbes.
    Type: Application
    Filed: August 29, 2014
    Publication date: March 5, 2015
    Applicant: United States Department of Energy
    Inventors: Fanqing Frank Chen, Mohamed Shehata Draz
  • Publication number: 20130182890
    Abstract: A system for detecting a class of objects at a location, for example humans on a conveyor belt. A thermal camera may be used to detect objects and to detect the variance of the heat distribution of objects to classify them. Objects detected in an image from one camera may be detected in an image from another camera using geometric correction. A color camera may be used to detect the number of edges and the number of colors of an object to classify it. A color camera may be used with an upright human body classifier to detect humans in an area, and blobs corresponding to the detected humans may be tracked in a thermal or color camera image to detect if a human enters an adjacent forbidden area such as a conveyor belt.
    Type: Application
    Filed: January 16, 2012
    Publication date: July 18, 2013
    Applicant: INTELLIVIEW TECHNOLOGIES INC.
    Inventors: Mohamed Shehata, Tamer Mohamed, Wael Badawy