Patents by Inventor Manohar Karki

Manohar Karki 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).

  • Method and System for Automatic Multiple Lesion Annotation of Medical Images with Hybrid Deep-Learning Networks
    Publication number: 20240331156
    Abstract: A method includes receiving, from a patient, an image having a visible lesion, modifying the image to appear as if the lesion were not present, thereby forming a second image, generating a delineation of the abnormality using a difference between the first and second images, and tagging the segmented lesions.
    Type: Application
    Filed: June 11, 2024
    Publication date: October 3, 2024
    Inventors: Manohar Karki, Jung Hwan Cho, Kye Wook Lee
  • Method and system for automatic multiple lesion annotation of medical images
    Patent number: 12008757
    Abstract: A method includes receiving, from a patient, an image having a visible lesion, modifying the image to appear as if the lesion were not present, thereby forming a second image, generating a delineation of the abnormality using a difference between the first and second images, and tagging the segmented lesions.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: June 11, 2024
    Assignee: Caide Systems, Inc.
    Inventors: Manohar Karki, Jung Hwan Cho, Kye Wook Lee
  • Computer implemented system and method for high performance visual tracking
    Patent number: 11677910
    Abstract: The present disclosure presents a computer implemented system and method of tracking objects and motion in video, detecting and analyzing periodic motion, and identifying motion characteristics of an activity or event using periodic motion data.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: June 13, 2023
    Assignee: Board of Supervisors of Louisiana State University and Agricultural and Mechanical College
    Inventors: Supratik Mukhopadhyay, Saikat Basu, Malcolm Stagg, Robert Dibiano, Manohar Karki, Jerry Weltman
  • Medical image generation, localizaton, registration system
    Patent number: 11430140
    Abstract: A method for generating a synthesized medical image by receiving a normal image includes generating first data based on a random selection, generating second data, and, based at least in part on the first and second data, modifying the normal image to form the synthesized medical image. Modifying the normal image comprises combining the first data and the second data. The first data characterizes an image that represents a lesion and the second data characterizes a transformation of that image as well as a location of the lesion.
    Type: Grant
    Filed: September 18, 2019
    Date of Patent: August 30, 2022
    Inventors: Jung Hwan Cho, Manohar Karki, Kye Wook Lee
  • METHOD AND SYSTEM FOR AUTOMATIC MULTIPLE LESION ANNOTATION OF MEDICAL IMAGES
    Publication number: 20220254022
    Abstract: A method includes receiving, from a patient, an image having a visible lesion, modifying the image to appear as if the lesion were not present, thereby forming a second image, generating a delineation of the abnormality using a difference between the first and second images, and tagging the segmented lesions.
    Type: Application
    Filed: January 24, 2020
    Publication date: August 11, 2022
    Applicant: Caide Systems, Inc.
    Inventors: Manohar Karki, Jung Hwan Cho, Kye Wook Lee
  • Automatic brightness and contrast control neural network for medical diagnostic imaging
    Patent number: 11151719
    Abstract: This invention relates to estimating the window width and window level (center) which are typically used to view and then transform diagnostic imaging data to grayscale images. These grayscale images are then used to check the presence of diseases or abnormalities. For each individual diagnostic image, this invention automatically estimates the most appropriate values. This automatic estimation is done by a specialized module added on to a convolutional neural network-based disease detection system.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: October 19, 2021
    Assignee: Caide Systems, Inc.
    Inventors: Manohar Karki, Kye Wook Lee, Jung Hwan Cho
  • Computer Implemented System and Method for High Performance Visual Tracking
    Publication number: 20200389625
    Abstract: A computer implemented system and method of tracking objects and motion in video using techniques for agile switching between a number of tracking techniques, detecting and analyzing periodic motion, and using regular expression techniques for identifying patterns.
    Type: Application
    Filed: August 24, 2020
    Publication date: December 10, 2020
    Inventors: Supratik MUKHOPADHYAY, Saikat BASU, Malcolm Stagg, Robert DIBIANO, Manohar KARKI, Jerry WELTMAN
  • Computer implemented system and method for high performance visual tracking
    Patent number: 10757369
    Abstract: A computer implemented system and method of tracking objects and motion in video using techniques for agile switching between a number of tracking techniques, detecting and analyzing periodic motion, and using regular expression techniques for identifying patterns.
    Type: Grant
    Filed: October 7, 2013
    Date of Patent: August 25, 2020
    Inventors: Supratik Mukhopadhyay, Saikat Basu, Malcolm Stagg, Robert DiBiano, Manohar Karki, Jerry Weltman
  • AUTOMATIC BRIGHTNESS AND CONTRAST CONTROL NEURAL NETWORK FOR MEDICAL DIAGNOSITIC IMAGING
    Publication number: 20200202524
    Abstract: This invention relates to estimating the window width and window level (center) which are typically used to view and then transform diagnostic imaging data to grayscale images. These grayscale images are then used to check the presence of diseases or abnormalities. For each individual diagnostic image, this invention automatically estimates the most appropriate values. This automatic estimation is done by a specialized module added on to a convolutional neural network-based disease detection system.
    Type: Application
    Filed: December 19, 2019
    Publication date: June 25, 2020
    Inventors: Manohar Karki, Kye Wook Lee, Jung Hwan Cho
  • MEDICAL IMAGE GENERATION, LOCALIZATON, REGISTRATION SYSTEM
    Publication number: 20200090350
    Abstract: A method for generating a synthesized medical image by receiving a normal image includes generating first data based on a random selection, generating second data, and, based at least in part on the first and second data, modifying the normal image to form the synthesized medical image. Modifying the normal image comprises combining the first data and the second data. The first data characterizes an image that represents a lesion and the second data characterizes a transformation of that image as well as a location of the lesion.
    Type: Application
    Filed: September 18, 2019
    Publication date: March 19, 2020
    Inventors: Jung Hwan Cho, Manohar Karki, Kye Wook Lee