Patents Examined by Casey L Kretzer
  • Patent number: 12220246
    Abstract: A method comprising: generating a parametrized three-dimensional (3D) body surface model on a training set comprising a plurality of 3D scans of subjects, wherein at least some of said 3D scans are of subjects having a skeletal deformity; receiving one or more target 3D scans of a target subject; optimizing said body surface model with respect to said one or more target 3D scans to calculate a target body surface model of said target subject; training a skeletal estimation model on a training set comprising: (i) body surface models of a plurality of subjects, and (ii) skeletal landmarks sets of said plurality of subjects; and applying said trained skeletal estimation model to said calculated target body surface model of said target subject, to estimate a skeletal shape of said target subject.
    Type: Grant
    Filed: May 1, 2024
    Date of Patent: February 11, 2025
    Assignees: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED, NEW YORK SOCIETY FOR THE RELIEF OF THE RUPTURED AND CRIPPLED, MAINTAINING THE HOSPITAL FOR SPECIAL SURGERY
    Inventors: Ron Kimmel, Benjamin Groisser, Alon Wolf, Roger F. Widmann, Howard J. Hillstrom
  • Patent number: 12223752
    Abstract: Disclosed herein are charged particle microscopy (CPM) support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, a CPM support apparatus may include: first logic to cause a CPM to generate a single image of a first portion of a specimen; second logic to generate a first mask based on one or more regions-of-interest provided by user annotation of the single image; and third logic to train a machine-learning model using the single image and the one or more regions-of-interest. The first logic may cause the CPM to generate multiple images of corresponding multiple additional portions of the specimen, and the second logic may, after the machine-learning model is trained using the single image and the one or more regions-of-interest, generate multiple masks based on the corresponding images of the additional portions of the specimen using the machine-learning model without retraining.
    Type: Grant
    Filed: September 30, 2021
    Date of Patent: February 11, 2025
    Assignee: FEI Company
    Inventors: Ondrej Machek, Pavel Potocek, Tereza Konečná
  • Patent number: 12206453
    Abstract: A terminal (1050) includes a light receiver (151) that receives a light signal emitted by an apparatus (1000), the light signal including an identifier (SSID) of at least one base station (470); a receiver (153) that performs a reception process on the received light signal to output reception data; a data analyzer (155) that selects one base station based on the identifier of the at least one base station that is included in the reception data; and a radio device (453) that establishes a wireless connection with the selected base station (470) by using the identifier of the base station (470) and wirelessly communicates with the base station (470).
    Type: Grant
    Filed: March 8, 2024
    Date of Patent: January 21, 2025
    Assignee: Panasonic Intellectual Property Corporation of America
    Inventor: Yutaka Murakami
  • Patent number: 12201262
    Abstract: Provided are a surgery assistance apparatus, a surgery assistance method, and a computer readable recording medium that includes a surgery assistance program recorded thereon that improve the accuracy of endoscopic surgery by identifying a target part image. A surgery assistance apparatus 1 includes a feature amount calculation unit 2 that calculates, from a human-body internal image captured using an endoscope, a feature amount of a target part image corresponding to a target part, a similarity degree calculation unit 3 that calculates a similarity degree of the features amount between different human-body internal images, and an identification unit 4 that identifies the target part image in each of the different human-body internal images if the similarity degree is greater than or equal to a predetermined value.
    Type: Grant
    Filed: March 12, 2024
    Date of Patent: January 21, 2025
    Assignee: NEC CORPORATION
    Inventor: Masahiro Saikou
  • Patent number: 12190603
    Abstract: A vehicle traveling control apparatus includes a stereo camera device, a LiDAR device, and a control unit. The stereo camera device recognizes a predetermined range of a front region of the vehicle as an image to acquire image data, and acquires three-dimensional image information including distance information on the basis of the acquired image data. The LiDAR device acquires three-dimensional point cloud data including distance information for each of detection points, by scanning substantially a same range as a range recognized by the stereo camera device, of the front region of the vehicle. The control unit controls the stereo camera device and the LiDAR device. The control unit includes a camera calibration unit that performs calibration of the stereo camera device, by correcting a position shift of the three-dimensional image information acquired by the stereo camera device, with respect to the three-dimensional point cloud data acquired by the LiDAR device.
    Type: Grant
    Filed: March 23, 2022
    Date of Patent: January 7, 2025
    Assignee: SUBARU CORPORATION
    Inventor: Hajime Oyama
  • Patent number: 12190601
    Abstract: ADAS includes a processing circuit and a memory which stores instructions executable by the processing circuit. The processing circuit executes the instructions to cause the ADAS to receive, from a vehicle that is in motion, a video sequence, generate a position image including at least one object included in the stereo image, generate a second position information associated with the at least one object based on reflected signals received from the vehicle, determine regions each including at least a portion of the at least one object as candidate bounding boxes based on the stereo image and the position image, and selectively adjusting class scores of respective ones of the candidate bounding boxes associated with the at least one object based on whether a respective first position information of the respective ones of the candidate bounding boxes matches the second position information.
    Type: Grant
    Filed: February 16, 2024
    Date of Patent: January 7, 2025
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Sangsoo Ko, Byeoungsu Kim, Kyoungyoung Kim, Sanghyuck Ha
  • Patent number: 12183022
    Abstract: The topographic environment detection method and a topographic environment detection system based on a binocular stereo camera, and an intelligent terminal are provided. The topographic environment detection method includes: obtaining a left-eye image and a right-eye image about a same road scenario, and processing the left-eye image and the right-eye image to obtain a dense disparity map of the road scenario; converting image information in a detection region into 3D point cloud information in a world coordinate system in accordance with the dense disparity map; fitting a road surface model in accordance with the 3D point cloud information; inputting an image in the detection region into a trained semantic segmentation model, and obtaining a segmentation result from the semantic segmentation model; and obtaining topographic information about the detection region in accordance with the segmentation result, and transmitting the topographic information to a vehicle assistant driving system.
    Type: Grant
    Filed: April 12, 2022
    Date of Patent: December 31, 2024
    Assignees: Beijing Smarter Eye Technology Co. Ltd, Shenzhen Pengcheng Electric Group Co., Ltd, Shenzhen Talent Database Data Technology Co., Ltd
    Inventors: Wentao Lin, Hua Chai, Shanshan Pei, Shuhong Wu, Bin Chen, Yuzhi Lin, Ran Meng, Li Ma, Zhiwei He
  • Patent number: 12175739
    Abstract: Apparatuses, systems, and techniques to perform non-maximum suppression (NMS) in parallel to remove redundant bounding boxes. In at least one embodiment, two or more parallel circuits to perform two or more portions of a NMS algorithm in parallel to remove one or more redundant bounding boxes corresponding to one or more objects within one or more digital images.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: December 24, 2024
    Assignee: NVIDIA Corporation
    Inventors: Yichun Shen, Wanli Jiang, Junghyun Kwon, Siyi Li, Minwoo Park, Sangmin Oh
  • Patent number: 12159459
    Abstract: A method for extracting a fingerprint of a video includes calculating 2D discrete cosine transform (DCT) coefficients from each of the plurality of frames of the video, extracting, from the 2D DCT coefficients, a coefficient having a basis satisfying at least one of up-down symmetry or left-right symmetry, and calculating a fingerprint of the video based on the extracted coefficient.
    Type: Grant
    Filed: August 17, 2022
    Date of Patent: December 3, 2024
    Assignee: NAVER CORPORATION
    Inventors: Seong Hyeon Shin, Jisu Jeon, Dae Hwang Kim, Jongeun Park, Seung-bin Kim
  • Patent number: 12154354
    Abstract: Provided are methods for labeling ultrasound data. The method may include training a convolutional neural network (CNN) based on ultrasound data. The ultrasound data may include ultrasonic waveform data (e.g., radio frequency (RF) waveform data). An RF input of each downsampling layer of a plurality of downsampling layers in the CNN may be downsampled. The RF input may include RF waveform data for an ultrasound. Tissues in the ultrasound may be segmented based on an output of the CNN. A system is also disclosed.
    Type: Grant
    Filed: June 12, 2020
    Date of Patent: November 26, 2024
    Assignee: Carnegie Mellon University
    Inventors: John Galeotti, Gautam Rajendrakumar Gare, Jiayuan Li, Ricardo Luis Rodriguez
  • Patent number: 12142366
    Abstract: The present subject matter provides systems and methods for distributed training of artificial intelligence (AI) systems for medical image analysis. The systems allow for offline prediction of abnormalities of medical images on a local AI system associated with an imaging device (102). In one example, the local AI system (100) extracts image parameters from the analyzed medical images and sends it to a global AI system (120) for training a global AI model. In another example, the local AI system (100) retrains a previously trained local AI model based on the image parameters to obtain a local AI model. Model parameters are extracted from the local AI model and are sent to the global AI system to retrain a global AI model. The retrained global AI model is deployed back to the local AI system (100) for updating the local AI model.
    Type: Grant
    Filed: September 11, 2019
    Date of Patent: November 12, 2024
    Assignee: Remidio Innovative Solutions Pvt. Ltd.
    Inventors: Krishna Rastogi, Anand Sivaraman
  • Patent number: 12136486
    Abstract: A medical information processing device according to an embodiment includes a processing circuitry. The processing circuitry is configured to acquire a plurality of sets of analysis result information on a plurality of analysis processes that are executed on at least one medical image obtained by capturing an image of a patient; sets, with respect to each disorder of the patient, a first priority that is a priority in displaying the acquired sets of analysis result information; and causes the sets of analysis result information to be displayed in an order corresponding to the first priorities that are set with respect to each disorder of the patient.
    Type: Grant
    Filed: January 24, 2022
    Date of Patent: November 5, 2024
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Takamasa Nagao, Muneyasu Kazuno, Junya Suzuki
  • Patent number: 12136226
    Abstract: Described examples relate to an apparatus comprising a memory for storing a sequence of image frames and at least one processor. The at least one processor may be configured to receive a first image frame of a sequence of image frames from an image capture device and select a first portion of a first image frame. The at least one processor may also be configured to obtain alignment information and determine a first portion and a second portion of a second image frame based on the alignment information. Further, the at least one processor may be configured to determine a bounding region within the second image frame and fetch image data corresponding to the bounding region of the second image frame from memory. In some examples, the first image frame may comprise a base image and the second image frame may comprise an alternative image frame. Further, the first image frame may comprise any one of the image frames of the sequence of image frames.
    Type: Grant
    Filed: December 11, 2023
    Date of Patent: November 5, 2024
    Assignee: Waymo LLC
    Inventors: Jia Feng, Damien Kelly, Ignacio Garcia Dorado, Xiaoying He
  • Patent number: 12136483
    Abstract: The present disclosure relates to a medical image analysis method using a processor and a memory which are hardware. The method includes generating predicted second metadata for a medical image by using a prediction model, and determining a processing method of the medical image based on one of first metadata stored corresponding to the medical image and the second metadata.
    Type: Grant
    Filed: April 5, 2024
    Date of Patent: November 5, 2024
    Assignee: LUNIT INC.
    Inventors: Jong Chan Park, Dong Geun Yoo, Ki Hyun You, Hyeon Seob Nam, Hyun Jae Lee, Sang Hyup Lee
  • Patent number: 12121761
    Abstract: A system and method are disclosed that allow for early detection and management of wildfires. According to various aspects and embodiments of the invention the system and method rapidly and economically detect and help manage and contain, control, suppress the progress of wildfires.
    Type: Grant
    Filed: October 28, 2021
    Date of Patent: October 22, 2024
    Inventor: Preet Anand
  • Patent number: 12124536
    Abstract: A training dataset including a plurality of labeled images can be received, each labeled image of the plurality of labeled images including a label represented by a bounding box having a designated class name. Characteristics of each label can be obtained. Statistical information for each class name of the plurality of labeled images can be determined based on the characteristics of each label associated with each respective class name. An outlier test can be performed based on the determined statistical information for a first designated class name to receive at least one outlier label having the first designated class name. The at least one outlier label can be output as a modification candidate for re-labeling.
    Type: Grant
    Filed: December 1, 2021
    Date of Patent: October 22, 2024
    Assignee: International Business Machines Corporation
    Inventors: Takehiro Wakabayashi, Shingo Nagai
  • Patent number: 12118724
    Abstract: A method for classifying a vasculature comprises training a training device with an initial model of a vasculature using diagnostic image data representing a geometry for a plurality of vessels of a vessel tree and including a respective vessel labeling for each vessel, providing at least one diagnostic image of a patient's vessel tree and identifying a variation between the vessel tree represented by the initial model and the patient's vessel tree. This variation is checked and labeled in order to improve the trained model. The process may be repeated iteratively until reaching an accurate patient-specific model of the vasculature.
    Type: Grant
    Filed: November 14, 2023
    Date of Patent: October 15, 2024
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Roy Franciscus Petrus Van Pelt, Javier Olivan Bescos
  • Patent number: 12112535
    Abstract: Examples disclosed herein may involve a computing system configured to (i) maintain a map that is representative of a real-world environment, the map including a plurality of layers that are each encoded with a different type of map data, (ii) obtain sensor data indicative of a given area of the real-world environment, (iii) based on an evaluation of the obtained sensor data and map data corresponding to the given area, detect that a change has occurred in the given area, (iv) based on the collected sensor data, derive information about the detected change including at least a type of the change and a location of the change, (v) based on the derived information about the detected change, determine that one or more layers of the map is impacted by the detected change, and (vi) effect an update to the one or more layers of the map based on the derived information about the change.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: October 8, 2024
    Assignee: Lyft, Inc.
    Inventors: Kris Richard Efland, Nadha Nafeeza Gafoor, Nastaran Ghadar, Amruta Kiran Kulkarni, Meng Tao, Ziyi Zhao
  • Patent number: 12102464
    Abstract: Disclosed are a bone age estimation method and a bone age estimation apparatus. The bone age estimation method may comprise the steps of: extracting a region of interest including a cervical spine region from a lateral cephalometric radiographic image obtained by imaging a subject's cervical spine, by using a first deep learning model; extracting landmarks from the extracted region of interest by using a second deep learning model; calculating a landmark numerical value on the basis of the extracted landmarks; and providing maturity information of a maturation stage of the cervical spine on the basis of the calculated landmark numerical value.
    Type: Grant
    Filed: December 15, 2020
    Date of Patent: October 1, 2024
    Assignee: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION
    Inventors: Byung Duk Ahn, In Seok Song, Yoon-Ji Kim, Jae Gul Choo, Jin Hee Kim, Tae Sung Kim
  • Patent number: 12094121
    Abstract: Method for segmenting a digital model (4) of teeth comprising a three-dimensional triangular mesh (41), wherein automatic means (6) implement the following steps, which are referred to as initial steps: classifying, within the mesh (41), at least one triangle into a concave category and/or at least one triangle into a convex category, and identifying, within the mesh (41), at least one tooth region comprising triangles such that each triangle of the region has at least one neighbouring triangle in the region, all the triangles of the region belonging to neither the convex nor the concave category.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: September 17, 2024
    Assignee: BOREA
    Inventor: Julien Guillot