Patents by Inventor Dimitrios Korkinof
Dimitrios Korkinof 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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Patent number: 11893659Abstract: The present invention relates to a method and system that allows input mammography images to be converted between domains. More particularly, the present invention relates to converting mammography images from the image style common to one manufacturer of imaging equipment to the image style common to another manufacturer of imaging equipment. Aspects and/or embodiments seek to provide a method of converting input images from the format output by one imaging device into the format normally output by another imaging device. The imaging devices may differ in their manufacturer, model or configuration such that they produce different styles of image, even if presented with the same raw input data, due to the image processing used in the imaging device(s).Type: GrantFiled: November 27, 2019Date of Patent: February 6, 2024Assignee: Kheiron Medical Technologies Ltd.Inventors: Tobias Rijken, Michael O'Neill, Andreas Heindl, Joseph Yearsley, Dimitrios Korkinof, Galvin Khara
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Patent number: 11488306Abstract: The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for indicating whether additional medical tests are required after analysing an initial medical screening, in substantially real-time. Aspects and/or embodiments seek to provide a method and system for recommending additional medical tests, in substantially real-time, based on analysing an initial medical scan, with the use of deep learning.Type: GrantFiled: June 14, 2019Date of Patent: November 1, 2022Assignee: KHEIRON MEDICAL TECHNOLOGIES LTDInventors: Peter Kecskemethy, Tobias Rijken, Edith Karpati, Michael O'Neill, Andreas Heindl, Joseph Elliot Yearsley, Dimitrios Korkinof, Galvin Khara
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Patent number: 11455723Abstract: The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for suggesting whether to obtain a second review after a first user has performed a manual review/analysis of a set of medical images from an initial medical screening. Aspects and/or embodiments seek to provide a method and system for suggesting that a second radiologist reviews one or more cases/sets of medical images in response to a first radiologist's review of the case of medical images, based on the use of computer-aided analysis (for example using deep learning) on each case/set of medical images and the first radiologist's review.Type: GrantFiled: June 14, 2019Date of Patent: September 27, 2022Assignee: KHEIRON MEDICAL TECHNOLOGIES LTDInventors: Peter Kecskemethy, Tobias Rijken, Edith Karpati, Michael O'Neill, Andreas Heindl, Joseph Elliot Yearsley, Dimitrios Korkinof, Galvin Khara
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Patent number: 11410307Abstract: The present invention relates to a method and system that automatically determines malignancy in mammograms in parallel with a human operator. More particularly, the present invention relates to providing a reliable automated malignancy determination in parallel to a human operator to reduce the need for two human operators in a mammography analysis workflow. Aspects and/or embodiments seek to provide a method of automatically assessing mammography data in parallel with a human operator. Aspects and/or embodiments also seek to address the problems relating to providing a substantially reliable second reader to allow a single operator to analyse and diagnose mammography data.Type: GrantFiled: June 14, 2019Date of Patent: August 9, 2022Assignee: KHEIRON MEDICAL TECHNOLOGIES LTDInventors: Tobias Rijken, Michael O'Neill, Andreas Heindl, Joseph Elliot Yearsley, Dimitrios Korkinof, Galvin Khara, Peter Kecskemethy, Edith Karpati
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Publication number: 20220020184Abstract: The present invention relates to a method and system that allows input mammography images to be converted between domains. More particularly, the present invention relates to converting mammography images from the image style common to one manufacturer of imaging equipment to the image style common to another manufacturer of imaging equipment. Aspects and/or embodiments seek to provide a method of converting input images from the format output by one imaging device into the format normally output by another imaging device. The imaging devices may differ in their manufacturer, model or configuration such that they produce different styles of image, even if presented with the same raw input data, due to the image processing used in the imaging device(s).Type: ApplicationFiled: November 27, 2019Publication date: January 20, 2022Applicant: Kheiron Medical Technologies Ltd.Inventors: Tobias RIJKEN, Michael O'NEILL, Andreas HEINDL, Joseph YEARSLEY, Dimitrios KORKINOF, Galvin KHARA
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Publication number: 20210374555Abstract: Systems, methods and computer program products are provided for performing random walks on knowledge graphs. Knowledge graphs are received and for each knowledge graph there is constructed a multilayer network having unipartite layers and bipartite layers and interlayer couplings that (i) connect nodes of the unipartite layers and the bipartite layers representing the same entity (ii) are directed and (iii) weighted with a weight that depends on an activity of a target node in the unipartite layer or bipartite layer in which the target node resides. A walk on a random walk model of the multilayer network that takes into account saliencies of the different interlayer and intralayer connections of the nodes is then processed and one or more actions based on the random walk model are performed.Type: ApplicationFiled: May 28, 2021Publication date: December 2, 2021Applicant: Spotify ABInventors: Mariano Beguerisse-Díaz, Till A. Hoffmann, Dimitrios Korkinof
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Publication number: 20210313043Abstract: The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for suggesting whether to obtain a second review after a first user has performed a manual review/analysis of a set of medical images from an initial medical screening. Aspects and/or embodiments seek to provide a method and system for suggesting that a second radiologist reviews one or more cases/sets of medical images in response to a first radiologist's review of the case of medical images, based on the use of computer-aided analysis (for example using deep learning) on each case/set of medical images and the first radiologist's review.Type: ApplicationFiled: June 14, 2019Publication date: October 7, 2021Inventors: Peter Kecskemethy, Tobias Rijken, Edith Karpati, Michael O'Neill, Andreas Heindl, Joseph Elliot Yearsley, Dimitrios Korkinof, Galvin Khara
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Publication number: 20210312618Abstract: The present invention relates to deep learning implementations for medical imaging. More particularly, the present invention relates to a method and system for indicating whether additional medical tests are required after analysing an initial medical screening, in substantially real-time. Aspects and/or embodiments seek to provide a method and system for recommending additional medical tests, in substantially real-time, based on analysing an initial medical scan, with the use of deep learning.Type: ApplicationFiled: June 14, 2019Publication date: October 7, 2021Inventors: Peter Kecskemethy, Tobias Rijken, Edith Karpati, Michael O'Neill, Andreas Heindl, Joseph Elliot Yearsley, Dimitrios Korkinof, Galvin Khara
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Publication number: 20210248744Abstract: The present invention relates to a method and system that automatically determines malignancy in mammograms in parallel with a human operator. More particularly, the present invention relates to providing a reliable automated malignancy determination in parallel to a human operator to reduce the need for two human operators in a mammography analysis workflow. Aspects and/or embodiments seek to provide a method of automatically assessing mammography data in parallel with a human operator. Aspects and/or embodiments also seek to address the problems relating to providing a substantially reliable second reader to allow a single operator to analyse and diagnose mammography data.Type: ApplicationFiled: June 14, 2019Publication date: August 12, 2021Inventors: Tobias Rijken, Michael O'Neill, Andreas Heindl, Joseph Elliot Yearsley, Dimitrios Korkinof, Galvin Khara, Peter Kecskemethy, Edith Karpati