Patents Examined by Charlotte M. Baker
  • Patent number: 12216690
    Abstract: Systems and Methods are disclosed herein for automatically indexing multiple informational fields in digital data records, the method comprising: identifying, based on rules defining target information fields, for each target field of the target information fields, at least one page in a digital data record comprising content related to the target field; extracting, for each target field, from the identified at least one page, at least one portion of text comprising the content; feeding, for each target field, a pre-processed version of the at least one portion of text into a machine learning (ML) model, wherein the ML model is trained on the target field; determining, for each target field, via the ML model trained on the target field, at least one candidate text comprising the content; and extracting, for each target field, the at least one candidate text.
    Type: Grant
    Filed: December 18, 2023
    Date of Patent: February 4, 2025
    Assignee: VELOCITYEHS HOLDINGS, INC.
    Inventors: Julia Penfield, Aatish Suman, Veeru Talreja, Misbah Zahid Khan
  • Patent number: 12217743
    Abstract: Deep recurrent neural networks applied to speech recognition. The deep recurrent neural networks (RNNs) are preferably implemented by stacked long short-term memory bidirectional RNNs. The RNNs are trained using end-to-end training with suitable regularisation.
    Type: Grant
    Filed: July 28, 2023
    Date of Patent: February 4, 2025
    Assignee: Google LLC
    Inventor: Alexander B. Graves
  • Patent number: 12217521
    Abstract: A method for comparing content of two document files each having a plurality of content blocks is provided. The method is to be implemented by an electronic device and includes the steps of: performing, for the each of the content blocks in each of the document files, a pre-process operation so as to obtain a plurality of properties associated with the content block; comparing, for each content block from one of the document files, the properties thereof with the properties of each of the plurality of content blocks of the other one of the document files; and generating a comparison result based on the operations of the comparing.
    Type: Grant
    Filed: January 3, 2022
    Date of Patent: February 4, 2025
    Assignee: Foxit Software Inc.
    Inventors: Po-Fang Hsu, Chi-Ching Wei
  • Patent number: 12217383
    Abstract: Techniques for aligning image content are disclosed. The alignment occurs by concurrently identifying corner and line features and by aligning the images based on those features. As a result, relaxed constraints can be used during the alignment process as compared to constraints that are required when aligning images using only corner features. To achieve these benefits, first and second images are acquired. A first set of pixels that correspond to corner features are detected within the images. In parallel, a second set of pixels that correspond to line features are detected within the images. Image content is then aligned from the two images. The aligning process is performed using at least some of the pixels from the first and second sets.
    Type: Grant
    Filed: February 28, 2022
    Date of Patent: February 4, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael Bleyer, Raymond Kirk Price, Christopher Douglas Edmonds
  • Patent number: 12211105
    Abstract: A computer-implemented method for analyzing a survivability of a structure is presented. A distance extending radially from the structure defining an area surrounding the structure may be determined. The area surrounding the structure may be scanned to identify surrounding objects. The area surrounding the structure may then be segmented to create a plurality of area segments. A density of surrounding objects in each of the plurality of area segments may be determined. A risk score for each of the plurality of area segments may then be determined based on the density of surrounding objects in each of the plurality of area segments. An overall wind exposure risk value may be provided for further use.
    Type: Grant
    Filed: October 3, 2023
    Date of Patent: January 28, 2025
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventor: Eric Haefli
  • Patent number: 12210802
    Abstract: A computer-implemented method/system/instructions of automatic margin line proposal includes receiving a 3D digital model of at least a portion of a jaw, the 3D digital model including a digital preparation tooth; determining, using a first trained neural network, an inner representation of the 3D digital model; and determining, using a second trained neural network, a margin line proposal from a base margin line and the inner representation of the 3D digital model.
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: January 28, 2025
    Assignee: James R. Glidewell Dental Ceramics, Inc.
    Inventors: Sergei Azernikov, Simon Karpenko
  • Patent number: 12211192
    Abstract: Methods and systems for analyzing an integrity of a roof covering are presented. An exemplary method includes observing, by an imaging unit, a respective lift for one or more discontinuous roof covering materials of a roof covering of a structure. The exemplary method further includes generating, by one or more processors, an overall roof integrity rating based on the respective lift of one or more of the one or more discontinuous roof covering materials.
    Type: Grant
    Filed: August 17, 2023
    Date of Patent: January 28, 2025
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventor: Eric Haefli
  • Patent number: 12198403
    Abstract: A method includes accessing a web-based property over a network; storing a plurality of images or videos from the web-based property and associations between the plurality of images or videos and a target audience identifier responsive to the web-based property having a stored association with the target audience identifier; retrieving the plurality of images or videos from the database responsive to each of the plurality of images or videos having stored associations with the target audience identifier; executing a neural network to generate a performance score for each of the plurality of images or videos; calculating a target audience benchmark; executing the neural network to generate a first performance score for a first image or video and a second performance score for a second image or video; comparing the first performance score and the second performance score to the benchmark; and generating a record identifying the first image or video.
    Type: Grant
    Filed: September 9, 2024
    Date of Patent: January 14, 2025
    Assignee: VIZIT LABS, INC.
    Inventors: Jehan Hamedi, Elham Saraee, Zachary Halloran
  • Patent number: 12185905
    Abstract: A medical image processing apparatus, a method, a program, a diagnosis supporting apparatus, and an endoscope system are provided. The medical image processing apparatus includes one or more processor configured to acquire medical images including a first medical image and a second medical image preceding the first medical image in time-series, display the medical images in time-series, emphasize regions of interest included in the medical images at set emphasis degrees, determine whether a first region of interest included in the first medical image is identical with a second region of interest included in the second medical image, and set one of the emphasis degrees for a displayed region of interest corresponding to the first region of interest to a relatively larger value than another of the emphasis degrees which is set preceding the one of the emphasis degrees in time-series in a case where the determination is affirmative.
    Type: Grant
    Filed: January 21, 2024
    Date of Patent: January 7, 2025
    Assignee: FUJIFILM Corporation
    Inventor: Seiya Takenouchi
  • Patent number: 12190519
    Abstract: The acquisition unit 41B acquires a target image indicating a target object of inspection. The detection unit 42B detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unit 41B acquires.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: January 7, 2025
    Assignee: NEC CORPORATION
    Inventors: Tomoharu Kiyuna, Ikuma Takahashi, Maki Sano, Kenichi Kamijo, Kimiyasu Takoh, Yoshikazu Kitamura
  • Patent number: 12190521
    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.
    Type: Grant
    Filed: June 1, 2023
    Date of Patent: January 7, 2025
    Assignee: LightLab Imaging, Inc.
    Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
  • Patent number: 12175628
    Abstract: Provided are a training method and apparatus for an image processing image processing model, and an image processing method and apparatus. The training method comprises: acquiring a sample image and a first reference image, wherein the information quantity and resolution of the sample image are respectively lower than those of the first reference image; inputting the sample image into a generative network in an image processing model, and carrying out super-resolution processing and down-sampling processing on the sample image by means of the generative network, so as to generate and output at least one result image; determining the total image loss of the at least one result image according to the first reference image; and adjusting parameters of the generative network according to the total image loss, so that the total image loss of at least one result image output by the adjusted generative network meets an image loss condition.
    Type: Grant
    Filed: April 9, 2021
    Date of Patent: December 24, 2024
    Assignee: Beijing BOE Technology Development Co., Ltd.
    Inventor: Hanwen Liu
  • Patent number: 12176085
    Abstract: Disclosed herein are systems, methods, and software for providing a platform for complex image data analysis using artificial intelligence and/or machine learning algorithms. One or more subsystems allow for the capturing of user input such as eye gaze and dictation for automated generation of findings. Additional features include quality metric tracking and feedback, and worklist management system and communications queueing.
    Type: Grant
    Filed: December 14, 2023
    Date of Patent: December 24, 2024
    Assignee: Sirona Medical, Inc.
    Inventors: David Seungwon Paik, Vernon Marshall, Mark D. Longo, Cameron Andrews, Kojo Worai Osei, Berk Norman, Ankit Goyal
  • Patent number: 12165316
    Abstract: A machine-based learning system for predicting the presence of lesions indicative of axial spondyloarthritis in medical imaging data includes an image processor for receiving and processing one or more MRI image data set containing pelvic region and sacroiliac joint of a subject, and dividing said MRI image data set into a set of 3D voxels. The system also includes a voxel classifier for calculating for each of said the voxels one or more class probabilities of such voxel to contain a lesion of a particular type or being a non-lesion. The system also includes a lesion probability map generator for receiving the data produced by the voxel classifier and producing a probability intensity map for each of lesion types, in which one or more areas classified as lesion are highlighted; and an image display for displaying the output of the lesion probability map generator.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: December 10, 2024
    Assignee: UCB Biopharma SRL
    Inventors: Andrew Robert Carnell, Joeri Nicolaes
  • Patent number: 12161287
    Abstract: A surgery assistance apparatus 1 that improves the accuracy of surgery by presenting stable assistance information (display/sound) to a surgeon includes a calculation unit 2 that calculates, based on a living-body internal image 21 captured using an endoscope 42, region information indicating the region of a target part image 22 corresponding to a target part and probability information indicating a probability of the target part image 22 being an image of the target part, and a generation unit 3 that generates assistance information for assisting surgery while suppressing an extreme change when one of or both a change in the region information and a change in the probability information are extreme.
    Type: Grant
    Filed: February 7, 2020
    Date of Patent: December 10, 2024
    Assignee: NEC CORPORATION
    Inventor: Masahiro Saikou
  • Patent number: 12148429
    Abstract: Systems, methods, and storage media for performing actions in response to a determined spoken command of a user are disclosed.
    Type: Grant
    Filed: December 21, 2023
    Date of Patent: November 19, 2024
    Assignee: Suki AI, Inc.
    Inventors: Karthik Rajan, Sanket Agarwal, Baron Reznik
  • Patent number: 12148165
    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.
    Type: Grant
    Filed: June 1, 2023
    Date of Patent: November 19, 2024
    Assignee: LightLab Imaging, Inc.
    Inventors: Shimin Li, Ajay Gopinath, Kyle Savidge
  • Patent number: 12142033
    Abstract: A computer-implemented method, computer program product and computer system (100) for identifying weeds in a crop field using a dual task convolutional neural network (120) having a topology with an intermediate module (121) to execute a classification task being associated with a first loss function (LF1), and with a semantic segmentation module (122) to execute a segmentation task with a second different loss function (LF2). The intermediate module and the segmentation module are being trained together, taking into account the first and second loss functions (LF1, LF2).
    Type: Grant
    Filed: September 3, 2020
    Date of Patent: November 12, 2024
    Assignee: BASF SE
    Inventors: Artzai Picon Ruiz, Miguel Linares De La Puerta, Christian Klukas, Till Eggers, Rainer Oberst, Juan Manuel Contreras Gallardo, Javier Romero Rodriguez, Hikal Khairy Shohdy Gad, Gerd Kraemer, Jone Echazarra Huguet, Ramon Navarra-Mestre, Miguel Gonzalez San Emeterio
  • Patent number: 12142027
    Abstract: A method includes receiving a first image; extracting a first set of features from the first image; executing a first machine learning model using the extracted first set of features as input to generate a first image performance score for the first image; iteratively executing, using the first set of features as input for each execution, a generative machine learning model to generate a plurality of generated images; extracting a second set of features from each of the plurality of generated images; iteratively executing the first machine learning model using a different second set of features as input for each execution to generate a generated image performance score for each of the plurality of generated images; and transmitting a defined number of the plurality of generated images to a computing device, the defined number of generated images determined based on the generated image performance scores.
    Type: Grant
    Filed: July 24, 2024
    Date of Patent: November 12, 2024
    Assignee: VIZIT LABS, INC.
    Inventors: Elham Saraee, Zachary Halloran, Jehan Hamedi
  • Patent number: 12142026
    Abstract: A method includes storing at least one image performance score for each of a set of images, the set of images comprising a plurality of subsets of images, each subset corresponding with a different web page of a plurality of web pages, the at least one image performance score for an image indicating a likelihood that a user will interact with the image; determining a web page score for each of the plurality of web pages based on one or more image performance scores of the subset of images that corresponds with the web page; receiving a query comprising one or more keywords or images; selecting a set of web pages by applying a search engine machine learning model to the one or more keywords and the web page score for each of the plurality of web pages; and presenting the set of web pages at a computing device.
    Type: Grant
    Filed: May 14, 2024
    Date of Patent: November 12, 2024
    Assignee: VIZIT LABS, INC.
    Inventors: Elham Saraee, Zachary Halloran, Jehan Hamedi