Patents Assigned to InnerEye Ltd.
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Publication number: 20230371872Abstract: A method of estimating attention comprises: receiving encephalogram (EG) data corresponding to signals collected from a brain of a subject synchronously with stimuli applied to the subject. The EG data are segmented into segments, each corresponding to a single stimulus. The method also comprises dividing each segment of the EG data into a first time-window having a fixed beginning relative to a respective stimulus, and a second time-window having a varying beginning relative to the respective stimulus. The method also comprises processing the time-windows to determine the likelihood for a given segment to describe an attentive state of the brain.Type: ApplicationFiled: August 25, 2021Publication date: November 23, 2023Applicant: InnerEye Ltd.Inventors: Yuval HARPAZ, Amir B. GEVA, Leon Y. DEOUELL, Sergey VAISMAN, Yaar SHALOM, Michael OTSUP, Yonatan MEIR
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Publication number: 20230185377Abstract: A method of training an image classification neural network comprises: presenting a first plurality of images to an observer as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of a target by the observer in at least one image of the first plurality of images; training the image classification neural network to identify the target in the image, based on the identification of the neurophysiological event; and storing the trained image classification neural network in a computer-readable storage medium.Type: ApplicationFiled: February 8, 2023Publication date: June 15, 2023Applicant: InnerEye Ltd.Inventors: Amir B. GEVA, Eitan NETZER, Ran El MANOR, Sergey VAISMAN, Leon Y. DEOUELL, Uri ANTMAN
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Patent number: 11580409Abstract: A method of training an image classification neural network comprises: presenting a first plurality of images to an observer as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of a target by the observer in at least one image of the first plurality of images; training the image classification neural network to identify the target in the image, based on the identification of the neurophysiological event; and storing the trained image classification neural network in a computer-readable storage medium.Type: GrantFiled: December 21, 2017Date of Patent: February 14, 2023Assignee: InnerEye Ltd.Inventors: Amir B. Geva, Eitan Netzer, Ran El Manor, Sergey Vaisman, Leon Y. Deouell, Uri Antman
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Patent number: 10948990Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.Type: GrantFiled: May 16, 2019Date of Patent: March 16, 2021Assignee: InnerEye Ltd.Inventors: Amir B. Geva, Leon Y. Deouell, Sergey Vaisman, Omri Harish, Ran El Manor, Eitan Netzer, Shani Shalgi
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Publication number: 20200193299Abstract: A method of training an image classification neural network comprises: presenting a first plurality of images to an observer as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of a target by the observer in at least one image of the first plurality of images; training the image classification neural network to identify the target in the image, based on the identification of the neurophysiological event; and storing the trained image classification neural network in a computer-readable storage medium.Type: ApplicationFiled: December 21, 2017Publication date: June 18, 2020Applicant: InnerEye Ltd.Inventors: Amir B. GEVA, Eltan NETZER, Ran El MANOR, Sergey VAISMAN, Leon Y. DEOUELL, Uri ANTMAN
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Publication number: 20190294915Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.Type: ApplicationFiled: May 16, 2019Publication date: September 26, 2019Applicant: InnerEye Ltd.Inventors: Amir B. GEVA, Leon Y. DEOUELL, Sergey VAISMAN, Omri HARISH, Ran EI MANOR, Eitan NETZER, Shani SHALGI
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Patent number: 10303971Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.Type: GrantFiled: June 2, 2016Date of Patent: May 28, 2019Assignee: InnerEye Ltd.Inventors: Amir B. Geva, Leon Y. Deouell, Sergey Vaisman, Omri Harish, Ran El Manor, Eitan Netzer, Shani Shalgi