Patents by Inventor Yuval Duchin
Yuval Duchin 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: 20250049406Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: ApplicationFiled: June 20, 2024Publication date: February 13, 2025Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jin Young Kim
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Patent number: 12048574Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: GrantFiled: April 27, 2023Date of Patent: July 30, 2024Assignee: Owl Navigation, Inc.Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jin Young Kim
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Patent number: 11771389Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: GrantFiled: December 29, 2020Date of Patent: October 3, 2023Assignee: Owl Navigation, Inc.Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jin Young Kim
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Publication number: 20230293130Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7 T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: ApplicationFiled: April 27, 2023Publication date: September 21, 2023Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jin Young Kim
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Publication number: 20230206452Abstract: A system for computer-aided triage includes a router, a remote computing system, and a client application. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.Type: ApplicationFiled: February 23, 2023Publication date: June 29, 2023Inventors: Christopher Mansi, David Golan, Gil Levi, Yuval Duchin
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Patent number: 11625832Abstract: A system for computer-aided triage includes a router, a remote computing system, and a client application. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.Type: GrantFiled: December 15, 2020Date of Patent: April 11, 2023Assignee: Viz.ai Inc.Inventors: Christopher Mansi, David Golan, Gil Levi, Yuval Duchin
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Publication number: 20210142483Abstract: A system for computer-aided triage includes a router, a remote computing system, and a client application. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.Type: ApplicationFiled: December 15, 2020Publication date: May 13, 2021Inventors: Christopher Mansi, David Golan, Gil Levi, Yuval Duchin
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Publication number: 20210118549Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: ApplicationFiled: December 29, 2020Publication date: April 22, 2021Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jinyoung Kim
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Publication number: 20210035306Abstract: A system for computer-aided triage includes a router, a remote computing system, and a client application. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.Type: ApplicationFiled: July 24, 2020Publication date: February 4, 2021Inventors: Christopher Mansi, David Golan, Gil Levi, Yuval Duchin
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Patent number: 10902602Abstract: A system for computer-aided triage includes a router, a remote computing system, and a client application. A method for computer-aided triage includes receiving a data packet associated with a patient and taken at a point of care; checking for a suspected condition associated with the data packet; in an event that the suspected condition is detected, determining a recipient based on the suspected condition; and transmitting information to a device associated with the recipient.Type: GrantFiled: July 24, 2020Date of Patent: January 26, 2021Assignee: Viz.ai Inc.Inventors: Christopher Mansi, David Golan, Gil Levi, Yuval Duchin
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Patent number: 10885149Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: GrantFiled: March 13, 2017Date of Patent: January 5, 2021Assignee: Owl Navigation, Inc.Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jin Young Kim
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Publication number: 20170193161Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: ApplicationFiled: March 13, 2017Publication date: July 6, 2017Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jinyoung Kim
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Patent number: 9600778Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: GrantFiled: June 27, 2014Date of Patent: March 21, 2017Assignee: Surgical Information Sciences, Inc.Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jinyoung Kim
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Publication number: 20150012466Abstract: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.Type: ApplicationFiled: June 27, 2014Publication date: January 8, 2015Inventors: Guillermo Sapiro, Noam Harel, Yuval Duchin, Jinyoung Kim