Patents by Inventor Pranav Rajpurkar

Pranav Rajpurkar 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).

  • Systems and methods for radiology image classification from noisy images
    Patent number: 11798159
    Abstract: Systems and methods for radiology image classification from noisy images in accordance with embodiments of the invention are illustrated. One embodiment includes noisy image classification device, including a processor, camera circuitry, and a memory containing a noisy image classification application, where the noisy image classification application directs the processor to obtain image data describing a first image taken of a second image using the camera circuitry, where the second image was produced by a medical imaging device, and where the first image is a noisy version of the second image, classify the image data using a neural network trained to be robust to noise, generate an investigation recommendation based on the classification, and provide the investigation recommendation via a display.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: October 24, 2023
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Sharon Zhou, Andrew Y. Ng, Pranav Rajpurkar, Mark Sabini, Chris Wang, Nguyet Minh Phu, Amirhossein Kiani, Jeremy Irvin, Matthew Lungren
  • MACHINE LEARNING ANALYSIS FOR METABOLOMICS CLASSIFICATION AND BIOMARKER DISCOVERY
    Publication number: 20220084636
    Abstract: The present invention relates to systems, methods and devices for metabolomic-based classification of biological samples, and interpretation methods for biomarker discovery.
    Type: Application
    Filed: September 14, 2021
    Publication date: March 17, 2022
    Applicant: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
    Inventors: Catherine HOGAN, Pranav Rajpurkar, Benjamin Alan Pinsky, Anthony T. Le
  • Systems and Methods for Radiology Image Classification from Noisy Images
    Publication number: 20210089840
    Abstract: Systems and methods for radiology image classification from noisy images in accordance with embodiments of the invention are illustrated. One embodiment includes noisy image classification device, including a processor, camera circuitry, and a memory containing a noisy image classification application, where the noisy image classification application directs the processor to obtain image data describing a first image taken of a second image using the camera circuitry, where the second image was produced by a medical imaging device, and where the first image is a noisy version of the second image, classify the image data using a neural network trained to be robust to noise, generate an investigation recommendation based on the classification, and provide the investigation recommendation via a display.
    Type: Application
    Filed: September 18, 2020
    Publication date: March 25, 2021
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Sharon Zhou, Andrew Y. Ng, Pranav Rajpurkar, Mark Sabini, Chris Wang, Nguyet Minh Phu, Amirhossein Kiani, Jeremy Irvin, Matthew Lungren