Patents by Inventor Vignesh Singh

Vignesh Singh 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 labeling whole spine image using deep neural network
    Patent number: 10902587
    Abstract: A method and system for automatically labeling a spine image is disclosed. The method includes receiving an input spine image and analyzing image features of the input spine image by a deep neural network. The method further includes generating a mask image corresponding to the input spine image by the deep neural network based on image characteristics of a training image dataset. A region of interest in the mask image comprises vertebral candidates of the spine. The training image dataset comprises a plurality of spine images and a plurality of corresponding mask images. The method further includes associating labels with a plurality of image components of the mask image and labeling the input spine image based on labels associated with the mask image.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: January 26, 2021
    Assignee: GE Precision Healthcare LLC
    Inventors: Kavitha Manickam, Jignesh Dholakia, Vignesh Singh, Sandeep Lakshmipathy
  • Machine learning based method and system for analyzing image artifacts and imaging system failure
    Patent number: 10796181
    Abstract: Methods and systems for addressing malfunction of a medical imaging device are disclosed. The method includes classifying a type of an image artifact in a medical image acquired by the medical imaging device by using a trained machine learning model. The method also includes analyzing system data associated with acquisition of the medical image to identify one or more system parameters that might have contributed to the type of image artifact and providing an action for addressing the image artifact based on the identified one or more system parameters.
    Type: Grant
    Filed: September 18, 2018
    Date of Patent: October 6, 2020
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Kavitha Manickam, Ramesh Venkatesan, Rakesh Shevde, Rajagopalan Sundaresan, Prakruthi Jakathe, Vignesh Singh, Krishnan Varadarajan
  • MACHINE LEARNING BASED METHOD AND SYSTEM FOR ANALYZING IMAGE ARTIFACTS AND IMAGING SYSTEM FAILURE
    Publication number: 20200089983
    Abstract: Methods and systems for addressing malfunction of a medical imaging device are disclosed. The method includes classifying a type of an image artifact in a medical image acquired by the medical imaging device by using a trained machine learning model. The method also includes analyzing system data associated with acquisition of the medical image to identify one or more system parameters that might have contributed to the type of image artifact and providing an action for addressing the image artifact based on the identified one or more system parameters.
    Type: Application
    Filed: September 18, 2018
    Publication date: March 19, 2020
    Inventors: Kavitha Manickam, Ramesh Venkatesan, Rakesh Shevde, Rajagopalan Sundaresan, Prakruthi Jakathe, Vignesh Singh, Krishnan Varadarajan
  • METHODS AND SYSTEMS FOR LABELING WHOLE SPINE IMAGE USING DEEP NEURAL NETWORK
    Publication number: 20190370957
    Abstract: A method and system for automatically labeling a spine image is disclosed. The method includes receiving an input spine image and analyzing image features of the input spine image by a deep neural network. The method further includes generating a mask image corresponding to the input spine image by the deep neural network based on image characteristics of a training image dataset. A region of interest in the mask image comprises vertebral candidates of the spine. The training image dataset comprises a plurality of spine images and a plurality of corresponding mask images. The method further includes associating labels with a plurality of image components of the mask image and labeling the input spine image based on labels associated with the mask image.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 5, 2019
    Inventors: Kavitha Manickam, Jignesh Dholakia, Vignesh Singh, Sandeep Lakshmipathy