Patents by Inventor Hayit Greenspan

Hayit Greenspan 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: 20150363672
    Abstract: A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.
    Type: Application
    Filed: August 24, 2015
    Publication date: December 17, 2015
    Applicants: RAMOT AT TEL-AVIV UNIVERSITY LTD., Tel HaShomer Medical Research Infrastructure and Services Ltd., Bar-IIan Research And Development Company Ltd.
    Inventors: Hayit GREENSPAN, Jacob GOLDBERGER, Uri AVNI, Eli KONEN, Michal SHARON
  • Patent number: 9122955
    Abstract: A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.
    Type: Grant
    Filed: June 28, 2011
    Date of Patent: September 1, 2015
    Assignees: Ramot at Tel-Aviv University Ltd., Tel HaShomer Medical Research Infrastructure and Services Ltd., Bar-Ilan University
    Inventors: Hayit Greenspan, Jacob Goldberger, Uri Avni, Eli Konen, Michal Sharon
  • Publication number: 20150227695
    Abstract: Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.
    Type: Application
    Filed: January 16, 2015
    Publication date: August 13, 2015
    Inventors: Moshe Becker, Hayit Greenspan, Eliahu Konen, Arnaldo Mayer
  • Patent number: 9053551
    Abstract: Embodiments of the invention relate to a method, system, and computer program product to automate image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.
    Type: Grant
    Filed: May 23, 2012
    Date of Patent: June 9, 2015
    Assignee: International Business Machines Corporation
    Inventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
  • Patent number: 9008393
    Abstract: Embodiments of the invention relate to automating image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.
    Type: Grant
    Filed: August 23, 2012
    Date of Patent: April 14, 2015
    Assignee: International Business Machines Corporation
    Inventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
  • Patent number: 8953858
    Abstract: Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.
    Type: Grant
    Filed: January 28, 2011
    Date of Patent: February 10, 2015
    Assignees: Radlogics, Inc., Tel Hashomer Medical Research and Infrastructure and Services Ltd.
    Inventors: Moshe Becker, Hayit Greenspan, Eliahu Konen, Arnaldo Mayer
  • Publication number: 20130315458
    Abstract: Embodiments of the invention relate to automating image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.
    Type: Application
    Filed: August 23, 2012
    Publication date: November 28, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
  • Publication number: 20130315457
    Abstract: Embodiments of the invention relate to a method, system, and computer program product to automate image classification with respect to coronary vessels in an angiography sequence. Two primary elements are employed, including training and recognition. Training pertains to the pre-processing images and extracting salient features that characterize the appearance of coronary arteries under different viewpoints. Recognition pertains to extraction of features from a new image sequence and determining a classification boundary for the new image from previously classified and labeled image sequences.
    Type: Application
    Filed: May 23, 2012
    Publication date: November 28, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: David J. Beymer, Hayit Greenspan, Tanveer Syeda-Mahmood, Fei Wang, Yong Zhang
  • Publication number: 20130039552
    Abstract: Methods and systems for retrieving and processing medical diagnostic images are provided, comprising using picture analysis prioritization visualization and reporting system (“PAPVR system”) to determine whether each of one or more images from an image database or imaging device is of medical interest to a reviewing physician, determine whether one or more of the images is representative of the images, and provide the one or more images to a display and analysis system for review by a reviewing physician. The PAPVR system can provide the one or more images with a Key Image that is representative of the images. In addition, the PAPVR system can detect whether a patient suffers from a particular ailment, and provide a reviewing physician quantitative information that is relevant to the patient's condition.
    Type: Application
    Filed: January 28, 2011
    Publication date: February 14, 2013
    Inventors: Moshe Becker, Hayit Greenspan, Eliahu Konen, Arnaldo Mayer
  • Publication number: 20110317892
    Abstract: A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.
    Type: Application
    Filed: June 28, 2011
    Publication date: December 29, 2011
    Applicants: Ramot at Tel-Aviv University Ltd., Bar-Ilan University, Tel HaShomer Medical Research Infrastructure and Serives Ltd.
    Inventors: Hayit GREENSPAN, Jacob GOLDBERGER, Uri AVNI, Eli KONEN, Michal SHARON
  • Patent number: 7184100
    Abstract: A method of selecting key-frames (230) from a video sequence (210, 215) by comparing each frame in the video sequence with respect to its preceding and subsequent key-frames for redundancy where the comparison involves region and motion analysis. The video sequence is optionally pre-processed to detect graphic overlay. The key-frame set is optionally post-processed (250) to optimize the resulting set for face or other object recognition.
    Type: Grant
    Filed: March 24, 1999
    Date of Patent: February 27, 2007
    Assignee: MATE - Media Access Technologies Ltd.
    Inventors: Itzhak Wilf, Ovadya Menadeva, Hayit Greenspan
  • Patent number: 6937766
    Abstract: A method for generating an index of the text of a video image sequence is provided. The method includes the steps of determining the image text objects in each of a plurality of frames of the video image sequence; comparing the image text objects in each of the plurality of frames of the video image sequence to obtain a record of frame sequences having matching image text objects; extracting the content for each of the similar image text objects in text string format; and storing the text string for each image text object as a video text object in a retrievable medium.
    Type: Grant
    Filed: April 13, 2000
    Date of Patent: August 30, 2005
    Assignee: MATE—Media Access Technologies Ltd.
    Inventors: Itzhak Wilf, Joseph Ladkani, Ovadya Menadeva, Hayit Greenspan
  • Patent number: 5956427
    Abstract: A technique of determining information about orientation and amount of orientation of an image. The orientations of the image are sampled, and the samples are used to reconstruct information from which all orientations can be obtained. The samples each include information about specific components of the image, and these samples are assembled into a feature vector. The feature vector is discrete Fourier transformed whereby its continuous orientation information can be obtained.
    Type: Grant
    Filed: June 15, 1995
    Date of Patent: September 21, 1999
    Assignee: California Institute of Technology
    Inventors: Hayit Greenspan, Serge Belongie