Patents by Inventor Simeng Zhu

Simeng Zhu 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).

  • Publication number: 20240207644
    Abstract: Provided herein are methods and systems to train and execute a model that uses artificial intelligence methodologies to learn and predict dosages administrated to different structures during radiotherapy treatment. A method comprises receiving a value indicating a prioritization between a first organ at risk of a patient and a second organ at risk of the patient receiving radiation dosage; executing an artificial intelligence model using the value to predict a radiation dosage for the first organ at risk, the second organ at risk, and a target structure, wherein the artificial intelligence model is trained in accordance with a training dataset comprising a set of participants, dosage administered to the participant's target structure, first organ at risk, and second organ at risk; and outputting the predicted radiation dosage for at least one of the first organ at risk, the second organ at risk, and a target structure.
    Type: Application
    Filed: December 21, 2022
    Publication date: June 27, 2024
    Applicant: Siemens Healthineers International AG
    Inventors: Simeng Zhu, Maria Isabel Cordero Marcos, Elena Czeizler, Supratik Bose, Anthony Magliari
  • Publication number: 20240169543
    Abstract: Disclosed herein are systems and methods for adaptively training machine learning models for auto-segmentation of medical images. A system executes a segmentation model that receives a medical image as input and generates an initial segmentation of the medical image for a radiotherapy treatment. The system identifies a corrected segmentation corresponding to the initial segmentation generated in response to an input at a user interface presenting the initial segmentation. The system fine-tunes the segmentation model based on the medical image and the corrected segmentation to generate a fine-tuned segmentation model.
    Type: Application
    Filed: November 18, 2022
    Publication date: May 23, 2024
    Applicant: Varian Medical Systems, Inc.
    Inventors: Simeng ZHU, Supratik BOSE
  • Publication number: 20230402152
    Abstract: Provided herein are methods and systems to train and execute a computer model that uses artificial intelligence methodologies (e.g., deep learning) to learn and predict Multi-leaf Collimator (MLC) openings and control weights for a radiation therapy treatment plan.
    Type: Application
    Filed: June 13, 2022
    Publication date: December 14, 2023
    Applicant: VARIAN MEDICAL SYSTEMS, INC.
    Inventors: Simeng Zhu, Alexander E. Maslowski, Esa Kuusela
  • Publication number: 20180211750
    Abstract: A three-dimensional inductance coil and a method for producing the same in printed circuit board are provided.
    Type: Application
    Filed: August 11, 2015
    Publication date: July 26, 2018
    Applicant: AKM ELECTRONICS INDUSTRIAL (PANYU) LTD.
    Inventors: Jing Wang, Simeng Zhu, Ling Wang, Hang Yang