Patents by Inventor Liudmila A Beziaeva
Liudmila A Beziaeva 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: 20240155257Abstract: Systems, apparatus, and methods of rendering content based on a control point of a camera device are disclosed. In an example, a marker is attached to the camera device and its pose is tracked over time. Based on a camera model of the camera device, an offset between the marker and the control point is determined. The tracked pose of the marker can be translated and/or rotated according to the offset to estimate a pose of the control point. The rendering of the content is adjusted over time based on the estimated poses of the control point. Upon presentation of the content in a real-world space (e.g., on a display assembly located therein), the camera device can capture the content along with other objects of the real-world space and generate a video stream thereof.Type: ApplicationFiled: January 16, 2024Publication date: May 9, 2024Inventors: Liudmila A. Beziaeva, Gary Marshall, Adolfo Sanchez, Juan Alfredo Nader Delgado
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Patent number: 11954596Abstract: Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non-tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.Type: GrantFiled: March 10, 2020Date of Patent: April 9, 2024Assignees: NantOmics, LLC, NantHealth, Inc.Inventors: Bing Song, Mustafa Jaber, Liudmila Beziaeva, Shahrooz Rabizadeh
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Patent number: 11954856Abstract: Techniques are provided for determining a cell count within a whole slide pathology image. The image is segmented using a global threshold value to define a tissue area. A plurality of patches comprising the tissue area are selected. Stain intensity vectors are determined within the plurality of patches to generate a stain intensity image. The stain intensity image is iteratively segmented to generate a cell mask using a local threshold value that is and gradually reduced after each iteration. A chamfer distance transform is applied to the cell mask to generate a distance map. Cell seeds are determined on the distance map. Cell segments are determined using a watershed transformation, and a whole cell count is calculated for the plurality of patches based on the cell segments. A client device may be configured for real-time cell counting based on the whole cell count.Type: GrantFiled: August 4, 2022Date of Patent: April 9, 2024Assignee: NantOmics, LLCInventors: Bing Song, Liudmila A Beziaeva, Shahrooz Rabizadeh
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Patent number: 11948687Abstract: A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.Type: GrantFiled: July 21, 2021Date of Patent: April 2, 2024Assignees: NantCell, Inc., NantHealth, Inc., NantOmics, LLCInventors: Mustafa I. Jaber, Liudmila A. Beziaeva, Bing Song, Christopher W. Szeto, Stephen Charles Benz, Shahrooz Rabizadeh
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Patent number: 11924561Abstract: Systems, apparatus, and methods of rendering content based on a control point of a camera device are disclosed. In an example, a marker is attached to the camera device and its pose is tracked over time. Based on a camera model of the camera device, an offset between the marker and the control point is determined. The tracked pose of the marker can be translated and/or rotated according to the offset to estimate a pose of the control point. The rendering of the content is adjusted over time based on the estimated poses of the control point. Upon presentation of the content in a real-world space (e.g., on a display assembly located therein), the camera device can capture the content along with other objects of the real-world space and generate a video stream thereof.Type: GrantFiled: May 23, 2023Date of Patent: March 5, 2024Assignees: Nant Holdings, LLC, NantStudios, LLCInventors: Liudmila A. Beziaeva, Gary Marshall, Adolfo Sanchez, Juan Alfredo Nader Delgado
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Publication number: 20240022830Abstract: Systems, apparatus, and methods of rendering content based on a control point of a camera device are disclosed. In an example, a marker is attached to the camera device and its pose is tracked over time. Based on a camera model of the camera device, an offset between the marker and the control point is determined. The tracked pose of the marker can be translated and/or rotated according to the offset to estimate a pose of the control point. The rendering of the content is adjusted over time based on the estimated poses of the control point. Upon presentation of the content in a real-world space (e.g., on a display assembly located therein), the camera device can capture the content along with other objects of the real-world space and generate a video stream thereof.Type: ApplicationFiled: May 23, 2023Publication date: January 18, 2024Inventors: Liudmila A. Beziaeva, Gary Marshall, Adolfo Sanchez, Juan Alfredo Nader Delgado
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Publication number: 20240020851Abstract: Systems, apparatus, and methods for rendering content based on display assembly pose are disclosed. In an example, motion capture data of a display of a plurality of displays is received, the display moving from a first physical pose to a second physical pose. The motion capture data is processed to determine the coordinates of the second physical pose. A transformation of the second physical pose of the display to a virtual pose of the display is generated. A virtual model of the plurality of displays is updated, the virtual model comprising the virtual pose of the display. The content is rendered on the updated virtual model.Type: ApplicationFiled: July 10, 2023Publication date: January 18, 2024Inventors: Liudmila A. Beziaeva, Gary Marshall, Adolfo Sanchez, Juan Alfredo Nader Delgado, Anthony DeMeo, Jennifer McSpadden, Shane Keeling
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Publication number: 20230260628Abstract: A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.Type: ApplicationFiled: April 26, 2023Publication date: August 17, 2023Applicants: NantOmics, LLC, NantHealth, Inc.Inventors: Mustafa Jaber, Liudmila A Beziaeva, Christopher W Szeto, Bing Song
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Patent number: 11676707Abstract: A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.Type: GrantFiled: December 1, 2021Date of Patent: June 13, 2023Assignees: NantOmics, LLC, Nant Health, Inc.Inventors: Mustafa Jaber, Liudmila A Beziaeva, Christopher W Szeto, Bing Song
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Publication number: 20230030506Abstract: A method of determining a clinical value for an individual based on a tumor in an image by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to determine a lymphocyte distribution of lymphocytes in the tumor based on the image; apply a classifier to the lymphocyte distribution to classify the tumor, the classifier having been trained to classify tumors into a class selected from at least two classes respectively associated with lymphocyte distributions; and determine the clinical value for the individual based on prognoses of individuals with tumors in the class into which the classifier classified the tumor.Type: ApplicationFiled: January 11, 2021Publication date: February 2, 2023Inventors: Mustafa I. JABER, Christopher W. SZETO, Liudmila A. BEZIAEVA, Stephen Charles BENZ
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Publication number: 20220375085Abstract: Techniques are provided for determining a cell count within a whole slide pathology image. The image is segmented using a global threshold value to define a tissue area. A plurality of patches comprising the tissue area are selected. Stain intensity vectors are determined within the plurality of patches to generate a stain intensity image. The stain intensity image is iteratively segmented to generate a cell mask using a local threshold value that is and gradually reduced after each iteration. A chamfer distance transform is applied to the cell mask to generate a distance map. Cell seeds are determined on the distance map. Cell segments are determined using a watershed transformation, and a whole cell count is calculated for the plurality of patches based on the cell segments. A client device may be configured for real-time cell counting based on the whole cell count.Type: ApplicationFiled: August 4, 2022Publication date: November 24, 2022Applicant: NantOmics, LLCInventors: Bing Song, Liudmila A. Beziaeva, Shahrooz Rabizadeh
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Publication number: 20220375602Abstract: A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.Type: ApplicationFiled: July 21, 2021Publication date: November 24, 2022Inventors: Mustafa I. JABER, Liudmila A. BEZIAEVA, Bing SONG, Christopher W. SZETO, Stephen Charles BENZ, Shahrooz RABIZADEH
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Patent number: 11443426Abstract: Techniques are provided for determining a cell count within a whole slide pathology image. The image is segmented using a global threshold value to define a tissue area. A plurality of patches comprising the tissue area are selected. Stain intensity vectors are determined within the plurality of patches to generate a stain intensity image. The stain intensity image is iteratively segmented to generate a cell mask using a local threshold value that is and gradually reduced after each iteration. A chamfer distance transform is applied to the cell mask to generate a distance map. Cell seeds are determined on the distance map. Cell segments are determined using a watershed transformation, and a whole cell count is calculated for the plurality of patches based on the cell segments. A client device may be configured for real-time cell counting based on the whole cell count.Type: GrantFiled: January 15, 2019Date of Patent: September 13, 2022Assignee: NantOmics, LLCInventors: Bing Song, Liudmila A. Beziaeva, Shahrooz Rabizadeh
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Publication number: 20220180626Abstract: Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non-tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.Type: ApplicationFiled: March 10, 2020Publication date: June 9, 2022Applicants: NantOmics, LLC, NantHealth, Inc.Inventors: Bing Song, Mustafa Jaber, Liudmila Beziaeva, Shahrooz Rabizadeh
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Publication number: 20220092340Abstract: A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.Type: ApplicationFiled: December 1, 2021Publication date: March 24, 2022Applicants: NantOmics, LLC, NantHealth, Inc.Inventors: Mustafa Jaber, Liudmila A. Beziaeva, Christopher W. Szeto, Bing Song
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Patent number: 11195062Abstract: A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.Type: GrantFiled: November 15, 2019Date of Patent: December 7, 2021Assignees: NantOmics, LLC, NantHealth, Inc.Inventors: Mustafa Jaber, Liudmila A Beziaeva, Christopher W Szeto, Bing Song
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Publication number: 20200394796Abstract: Techniques are provided for determining a cell count within a whole slide pathology image. The image is segmented using a global threshold value to define a tissue area. A plurality of patches comprising the tissue area are selected. Stain intensity vectors are determined within the plurality of patches to generate a stain intensity image. The stain intensity image is iteratively segmented to generate a cell mask using a local threshold value that is and gradually reduced after each iteration. A chamfer distance transform is applied to the cell mask to generate a distance map. Cell seeds are determined on the distance map. Cell segments are determined using a watershed transformation, and a whole cell count is calculated for the plurality of patches based on the cell segments. A client device may be configured for real-time cell counting based on the whole cell count.Type: ApplicationFiled: January 15, 2019Publication date: December 17, 2020Applicant: NantOmics, LLCInventors: Bing Song, Liudmila A. Beziaeva, Shahrooz Rabizadeh
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Publication number: 20200160097Abstract: A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.Type: ApplicationFiled: November 15, 2019Publication date: May 21, 2020Inventors: Mustafa Jaber, Liudmila A Beziaeva, Christopher W Szeto, Bing Song