Patents by Inventor Noa Alkobi

Noa Alkobi 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).

  • Methods and systems for medical imaging based analysis of ejection fraction and fetal heart functions
    Patent number: 11707201
    Abstract: Systems and methods are provided for enhanced heart medical imaging operations, particularly as by incorporating use of artificial intelligence (AI) based fetal heart functional analysis and/or real-time and automatic ejection fraction (EF) measurement and analysis.
    Type: Grant
    Filed: March 6, 2020
    Date of Patent: July 25, 2023
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Dani Pinkovich, Sarit Shwartz, Noa Alkobi, Robert Anderson, Antonio Fabian Fermoso, Walter Duda, Jr., Christian Fritz Perrey
  • Systems and methods for generating augmented training data for machine learning models
    Patent number: 11200456
    Abstract: Methods and systems are provided for augmenting ultrasound image training data, which may be used to train one or more machine learning models. One example method for augmenting ultrasound training data comprises, selecting an ultrasound image and a ground truth output corresponding to the ultrasound image, determining a first modification to apply to the ultrasound image, applying the first modification to the ultrasound image to produce an augmented ultrasound image, modifying the ground truth output based on the first modification to produce an augmented ground truth output corresponding to the augmented ultrasound image, and training a machine learning model using the augmented ultrasound image and the augmented ground truth output. In this way, a machine learning model may learn a more robust mapping from ultrasound image features to expected output, with less probability of overfitting, and with increased generalizability to noisy ultrasound images, or ultrasound images containing artifacts.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: December 14, 2021
    Assignee: GE Precision Healthcare LLC
    Inventors: Dani Pinkovich, Noa Alkobi, Sarit Shwartz
  • METHODS AND SYSTEMS FOR MEDICAL IMAGING BASED ANALYSIS OF EJECTION FRACTION AND FETAL HEART FUNCTIONS
    Publication number: 20210275047
    Abstract: Systems and methods are provided for enhanced heart medical imaging operations, particularly as by incorporating use of artificial intelligence (AI) based fetal heart functional analysis and/or real-time and automatic ejection fraction (EF) measurement and analysis.
    Type: Application
    Filed: March 6, 2020
    Publication date: September 9, 2021
    Inventors: Dani Pinkovich, Sarit Shwartz, Noa Alkobi, Robert Anderson, Antonio Fabian Fermoso, Walter Duda, Jr., Christian Fritz Perrey
  • SYSTEMS AND METHODS FOR GENERATING AUGMENTED TRAINING DATA FOR MACHINE LEARNING MODELS
    Publication number: 20210034921
    Abstract: Methods and systems are provided for augmenting ultrasound image training data, which may be used to train one or more machine learning models. One example method for augmenting ultrasound training data comprises, selecting an ultrasound image and a ground truth output corresponding to the ultrasound image, determining a first modification to apply to the ultrasound image, applying the first modification to the ultrasound image to produce an augmented ultrasound image, modifying the ground truth output based on the first modification to produce an augmented ground truth output corresponding to the augmented ultrasound image, and training a machine learning model using the augmented ultrasound image and the augmented ground truth output. In this way, a machine learning model may learn a more robust mapping from ultrasound image features to expected output, with less probability of overfitting, and with increased generalizability to noisy ultrasound images, or ultrasound images containing artifacts.
    Type: Application
    Filed: July 31, 2019
    Publication date: February 4, 2021
    Inventors: Dani Pinkovich, Noa Alkobi, Sarit Shwartz