Patents by Inventor Yaron Lipman
Yaron Lipman 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).
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Publication number: 20240105328Abstract: An ultrasound image simulator includes a generative neural network to receive ultrasound probe position and orientation and to generate at least one simulated ultrasound image or clip of a body part of a subject. The generative neural network is trained on a multiplicity of 2D ultrasound images or clips of said body part taken from a plurality of ultrasound probe positions and orientations.Type: ApplicationFiled: September 19, 2023Publication date: March 28, 2024Inventors: Jonathan SHLOMI, Itay KEZURER, Yaron LIPMAN
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Publication number: 20230206065Abstract: A device for a mobile ultrasound unit having an ultrasound probe includes a trained orientation neural network and a result converter. The trained orientation neural network receives a non-canonical image of a body part from the mobile ultrasound unit and generates a transformation transforming between a position and rotation associated with a canonical image and a position and rotation associated with the non-canonical image. The result converter converts the transformation into position and/or rotation instructions of the probe and displays the position and/or rotation instructions to a user to change the position and/or rotation of the probe.Type: ApplicationFiled: December 1, 2022Publication date: June 29, 2023Inventors: Itay KEZURER, Yoram Eshel, Achiau Ludomirsky, Yaron Lipman
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Publication number: 20230104045Abstract: An exemplary system, method and computer-accessible medium for detecting an anomaly(ies) in an anatomical structure(s) of a patient(s) includes receiving imaging information related to the anatomical structure(s) of the patient(s), classifying a feature(s) of the anatomical structure(s) based on the imaging information using a neural network (s), and detecting the anomaly(ies) based on data generated using the classification procedure.Type: ApplicationFiled: October 24, 2022Publication date: April 6, 2023Inventors: Itay KEZURER, Achiau LUDOMIRSKY, Yaron LIPMAN
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Patent number: 11593638Abstract: A downloadable navigator for a mobile ultrasound unit having an ultrasound probe, implemented on a portable computing device. The navigator includes a trained orientation neural network to receive a non-canonical image of a body part from the mobile ultrasound unit and to generate a transformation associated with the non-canonical image, the transformation transforming from a position and rotation associated with a canonical image to a position and rotation associated with the non-canonical image; and a result converter to convert the transformation into orientation instructions for a user of the probe and to provide and display the orientation instructions to the user to change the position and rotation of the probe.Type: GrantFiled: May 15, 2019Date of Patent: February 28, 2023Assignees: New York University, Yeda Research And Development Co. LtdInventors: Itay Kezurer, Yoram Eshel, Achiau Ludomirsky, Yaron Lipman
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Patent number: 11478226Abstract: An exemplary system, method and computer-accessible medium for detecting an anomaly(ies) in an anatomical structure(s) of a patient(s) can be provided, which can include, for example, receiving imaging information related to the anatomical structure(s) of the patient(s), classifying a feature(s) of the anatomical structure(s) based on the imaging information using a neural network (s), and detecting the anomaly(ies) based on data generated using the classification procedure. The imaging information can include at least three images of the anatomical structure(s).Type: GrantFiled: January 19, 2018Date of Patent: October 25, 2022Assignees: New York University, Yeda Research And Development Co., Ltd.Inventors: Itay Kezurer, Achiau Ludomirsky, Yaron Lipman
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Publication number: 20190388064Abstract: An exemplary system, method and computer-accessible medium for detecting an anomaly(ies) in an anatomical structure(s) of a patient(s) can be provided, which can include, for example, receiving imaging information related to the anatomical structure(s) of the patient(s), classifying a feature(s) of the anatomical structure(s) based on the imaging information using a neural network (s), and detecting the anomaly(ies) based on data generated using the classification procedure. The imaging information can include at least three images of the anatomical structure(s).Type: ApplicationFiled: January 19, 2018Publication date: December 26, 2019Inventors: Itay KEZURER, Achiau LUDOMIRSKY, Yaron LIPMAN
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Publication number: 20190354856Abstract: A downloadable navigator for a mobile ultrasound unit having an ultrasound probe, implemented on a portable computing device. The navigator includes a trained orientation neural network to receive a non-canonical image of a body part from the mobile ultrasound unit and to generate a transformation associated with the non-canonical image, the transformation transforming from a position and rotation associated with a canonical image to a position and rotation associated with the non-canonical image; and a result converter to convert the transformation into orientation instructions for a user of the probe and to provide and display the orientation instructions to the user to change the position and rotation of the probe.Type: ApplicationFiled: May 15, 2019Publication date: November 21, 2019Inventors: Itay KEZURER, Yoram Eshel, Achiau Ludomirsky, Yaron Lipman
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Patent number: 10452905Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: GrantFiled: January 28, 2019Date of Patent: October 22, 2019Assignee: PHOTOMYNE LTD.Inventors: Yair Segalovitz, Omer Shoor, Yaron Lipman, Nir Tzemah, Natalie Verter
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Publication number: 20190171876Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: ApplicationFiled: January 28, 2019Publication date: June 6, 2019Inventors: Yair SEGALOVITZ, Omer SHOOR, Yaron LIPMAN, Nir TZEMAH, Natalie VERTER
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Patent number: 10198629Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: GrantFiled: March 18, 2018Date of Patent: February 5, 2019Assignee: PHOTOMYNE LTD.Inventors: Yair Segalovitz, Omer Shoor, Yaron Lipman, Nir Tzemah, Natalie Verter
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Publication number: 20180211107Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: ApplicationFiled: March 18, 2018Publication date: July 26, 2018Inventors: Yair SEGALOVITZ, Omer SHOOR, Yaron LIPMAN, Nir TZEMAH, Natalie VERTER
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Patent number: 9928418Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: GrantFiled: August 12, 2017Date of Patent: March 27, 2018Assignee: PHOTOMYNE LTD.Inventors: Yair Segalovitz, Omer Shoor, Yaron Lipman, Nir Tzemah, Natalie Verter
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Publication number: 20170357851Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: ApplicationFiled: August 12, 2017Publication date: December 14, 2017Inventors: Yair SEGALOVITZ, Omer SHOOR, Yaron LIPMAN, Nir TZEMAH, Natalie VERTER
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Patent number: 9754163Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: GrantFiled: November 7, 2016Date of Patent: September 5, 2017Assignee: PHOTOMYNE LTD.Inventors: Yair Segalovitz, Omer Shoor, Yaron Lipman, Nir Tzemah, Natalie Verter
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Publication number: 20170083762Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.Type: ApplicationFiled: November 7, 2016Publication date: March 23, 2017Inventors: Yair SEGALOVITZ, Omer SHOOR, Yaron LIPMAN, Nir TZEMAH, Natalie VERTER
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Publication number: 20150356704Abstract: A computer implemented method and system for simulating deformation of at least one physical object, the method using a processor to generate steps of: mapping the object using: a mesh of base-shapes, or, basis functions; controlling distortion of the deformation, by constraining or minimizing at least one of: isometric distortion, conformal distortion, and singular values of differentials of the mapping; and displaying the deformation via a display device.Type: ApplicationFiled: June 8, 2015Publication date: December 10, 2015Inventors: Yaron LIPMAN, Roi PORANNE, Shahar Ziv KOVALSKY, Ronen Ezra BASRI, Noam AIGERMAN
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Publication number: 20110149340Abstract: A system, a method and a computer program product for manipulating a graphic entity. The method includes: receiving first cage vertices information, second cage vertices information and second cage face orientation information; wherein the graphic entity is at least partially surrounded by the first cage and wherein a transformed graphic entity is expected to be is at least partially surrounded by the second cage; transforming the graphic entity to provide a transformed graphic entity in response to information representative of the graphic entity, second cage vertices information and second cage face orientation information.Type: ApplicationFiled: January 27, 2009Publication date: June 23, 2011Applicant: Ramot at Tel-Aviv University Ltd.Inventors: Yaron Lipman, David Levin, Daniel Cohen-Or