Patents by Inventor Michael Abramoff
Michael Abramoff 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: 20250252577Abstract: Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.Type: ApplicationFiled: March 31, 2025Publication date: August 7, 2025Inventors: Michael Abramoff, Milan Sonka
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Patent number: 12367578Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.Type: GrantFiled: February 7, 2024Date of Patent: July 22, 2025Assignees: University of Iowa Research Foundation, United States Government as Represented by the Department of Veterans AffairsInventors: Michael Abramoff, Gwenole Quellec
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Patent number: 12288337Abstract: Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.Type: GrantFiled: November 29, 2023Date of Patent: April 29, 2025Assignees: University of lowa Research Foundation, UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF VETERANS AFFAIRSInventors: Michael Abramoff, Milan Sonka
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Publication number: 20240177305Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.Type: ApplicationFiled: February 7, 2024Publication date: May 30, 2024Inventors: MICHAEL ABRAMOFF, GWENOLE QUELLEC
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Patent number: 11972568Abstract: Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.Type: GrantFiled: June 13, 2019Date of Patent: April 30, 2024Assignee: UNIVERSITY OF IOWA RESEARCH FOUNDATIONInventors: Michael Abramoff, Milan Sonka
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Publication number: 20240104741Abstract: Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.Type: ApplicationFiled: November 29, 2023Publication date: March 28, 2024Inventors: Michael Abramoff, Milan Sonka
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Patent number: 11935235Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.Type: GrantFiled: September 1, 2022Date of Patent: March 19, 2024Assignees: UNIVERSITY OF IOWA RESEARCH FOUNDATION, UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF VETERANS AFFAIRSInventors: Michael Abramoff, Gwenole Quellec
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Publication number: 20230076762Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.Type: ApplicationFiled: September 1, 2022Publication date: March 9, 2023Inventors: MICHAEL ABRAMOFF, GWENOLE QUELLEC
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Patent number: 11468558Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.Type: GrantFiled: October 11, 2018Date of Patent: October 11, 2022Assignees: UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF VETERANS AFFAIRS, UNIVERSITY OF IOWA RESEARCH FOUNDATIONInventors: Michael Abramoff, Gwenole Quellec
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Patent number: 11288808Abstract: Disclosed are systems and methods for image segmentation using convolutional networks. Image data comprising an image hypervolume can be received. The image hypervolume can be provided to a trained convolutional neural network (CNN). The CNN can output a segmentation of the image hypervolume.Type: GrantFiled: August 5, 2020Date of Patent: March 29, 2022Assignee: UNIVERSITY OF IOWA RESEARCH FOUNDATIONInventors: Michael Abramoff, Xiaodong Wu
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Publication number: 20200383566Abstract: Provided is a snapshot spectral domain optical coherence tomographer comprising a light source providing a plurality of beamlets; a beam splitter, splitting the plurality of beamlets into a reference arm and a sample arm; a first optical system that projects the sample arm onto multiple locations of a sample; a second optical system for collection of a plurality of reflected sample beamlets; a third optical system projecting the reference arm to a reflecting surface and receiving a plurality of reflected reference beamlets; a parallel interferometer that provides a plurality of interferograms from each of the plurality of sample beamlets with each of the plurality of reference beamlets; an optical image mapper configured to spatially separate the plurality of interferograms; a spectrometer configured to disperse each of the interferograms into its respective spectral components and project each interferogram in parallel; and a photodetector providing photon quantification.Type: ApplicationFiled: April 21, 2020Publication date: December 10, 2020Inventors: Michael Abramoff, Edward DeHoog
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Publication number: 20200380688Abstract: Disclosed are systems and methods for image segmentation using convolutional networks. Image data comprising an image hypervolume can be received. The image hypervolume can be provided to a trained convolutional neural network (CNN). The CNN can output a segmentation of the image hypervolume.Type: ApplicationFiled: August 5, 2020Publication date: December 3, 2020Inventors: MICHAEL ABRAMOFF, Xiaodong Wu
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Patent number: 10624537Abstract: Provided is a snapshot spectral domain optical coherence tomographer comprising a light source providing a plurality of beamlets; a beam splitter, splitting the plurality of beamlets into a reference arm and a sample arm; a first optical system that projects the sample arm onto multiple locations of a sample; a second optical system for collection of a plurality of reflected sample beamlets; a third optical system projecting the reference arm to a reflecting surface and receiving a plurality of reflected reference beamlets; a parallel interferometer that provides a plurality of interferograms from each of the plurality of sample beamlets with each of the plurality of reference beamlets; an optical image mapper configured to spatially separate the plurality of interferograms; a spectrometer configured to disperse each of the interferograms into its respective spectral components and project each interferogram in parallel; and a photodetector providing photon quantification.Type: GrantFiled: October 10, 2017Date of Patent: April 21, 2020Assignee: IDX TECHNOLOGIES, INC.Inventors: Michael Abramoff, Edward DeHoog
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Publication number: 20190295257Abstract: Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.Type: ApplicationFiled: June 13, 2019Publication date: September 26, 2019Inventors: Michael Abramoff, Milan Sonka
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Patent number: 10354384Abstract: Systems and methods for assessing glaucoma loss using optical coherence topography. One method according to an aspect comprises receiving optical coherence image data and assessing functional glaucoma damage from retinal optical coherence image data. In an aspect, the systems and methods can map regions and layers of the eye to determine structural characteristics to compare to functional characteristics.Type: GrantFiled: December 7, 2016Date of Patent: July 16, 2019Assignee: UNIVERSITY OF IOWA RESEARCH FOUNDATIONInventors: Michael Abramoff, Milan Sonka
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Publication number: 20190164278Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one or more objects of interest from the classified pixels.Type: ApplicationFiled: October 11, 2018Publication date: May 30, 2019Inventors: MICHAEL ABRAMOFF, GWENOLE QUELLEC
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Patent number: 10140699Abstract: A method of identifying an object of interest can comprise obtaining first samples of an intensity distribution of one or more object of interest, obtaining second samples of an intensity distribution of confounder objects, transforming the first and second samples into an appropriate first space, performing dimension reduction on the transformed first and second samples, whereby the dimension reduction of the transformed first and second samples generates an object detector, transforming one or more of the digital images into the first space, performing dimension reduction on the transformed digital images, whereby the dimension reduction of the transformed digital images generates one or more reduced images, classifying one or more pixels of the one or more reduced images based on a comparison with the object detector, and identifying one ore more objects of interest from the classified pixels.Type: GrantFiled: December 6, 2011Date of Patent: November 27, 2018Assignee: University of Iowa Research FoundationInventors: Michael Abramoff, Gwenole Quellec
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Publication number: 20180108139Abstract: Disclosed are systems and methods for image segmentation using convolutional networks. Image data comprising an image hypervolume can be received. The image hypervolume can be provided to a trained convolutional neural network (CNN). The CNN can output a segmentation of the image hypervolume.Type: ApplicationFiled: October 19, 2017Publication date: April 19, 2018Applicant: U.S. Department of Veterans AffairsInventors: Michael Abramoff, Xiaodong Wu
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Publication number: 20180092529Abstract: Provided is a snapshot spectral domain optical coherence tomographer comprising a light source providing a plurality of beamlets; a beam splitter, splitting the plurality of beamlets into a reference arm and a sample arm; a first optical system that projects the sample arm onto multiple locations of a sample; a second optical system for collection of a plurality of reflected sample beamlets; a third optical system projecting the reference arm to a reflecting surface and receiving a plurality of reflected reference beamlets; a parallel interferometer that provides a plurality of interferograms from each of the plurality of sample beamlets with each of the plurality of reference beamlets; an optical image mapper configured to spatially separate the plurality of interferograms; a spectrometer configured to disperse each of the interferograms into its respective spectral components and project each interferogram in parallel; and a photodetector providing photon quantification.Type: ApplicationFiled: October 10, 2017Publication date: April 5, 2018Inventors: Michael Abramoff, Edward DeHoog
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Patent number: 9814386Abstract: An ocular alignment system for aligning a subject's eye with an optical axis of an ocular imaging device comprising one or more guide light and one or more baffle configured to mask the one or more guide light from view of the subject such that the one or more guide light is only visible to the subject when the eye of the subject is aligned with the optical axis of an ocular imaging system.Type: GrantFiled: July 2, 2015Date of Patent: November 14, 2017Assignee: IDx, LLCInventors: Michael Abramoff, Eric Talmage, Ben Clark, Edward DeHoog, Timothy Chung