Patents by Inventor Shih-Jen TSAI

Shih-Jen TSAI 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 for training model of deep neural network, and method and system using the model to determine whether there is abnormality in brain
    Patent number: 11379982
    Abstract: A method for determining whether there is an abnormality in a brain includes steps of: receiving a to-be-determined (TBD) 3D brain image; implementing the calibration procedure on the TBD 3D brain image; generating a first TBD image of WM, a second TBD image of GM, and a third TBD image of CSF based on a multi-voxel pattern of the TBD 3D brain image; and inputting the first TBD image of WM into a first DNN model, the second TBD image of GM into a second DNN model, and the third TBD image of CSF into a third DNN model to determine whether there is an abnormality in the white matter, the gray matter and the cerebrospinal fluid, respectively.
    Type: Grant
    Filed: January 27, 2021
    Date of Patent: July 5, 2022
    Assignee: NATIONAL YANG MING CHIAO TUNG UNIVERSITY
    Inventors: Yu-Wei Chang, Albert Chihchieh Yang, Shih-Jen Tsai
  • METHOD FOR TRAINING MODEL OF DEEP NEURAL NETWORK, AND METHOD AND SYSTEM USING THE MODEL TO DETERMINE WHETHER THERE IS ABNORMALITY IN BRAIN
    Publication number: 20210256698
    Abstract: A method for determining whether there is an abnormality in a brain includes steps of: receiving a to-be-determined (TBD) 3D brain image; implementing the calibration procedure on the TBD 3D brain image; generating a first TBD image of WM, a second TBD image of GM, and a third TBD image of CSF based on a multi-voxel pattern of the TBD 3D brain image; and inputting the first TBD image of WM into a first DNN model, the second TBD image of GM into a second DNN model, and the third TBD image of CSF into a third DNN model to determine whether there is an abnormality in the white matter, the gray matter and the cerebrospinal fluid, respectively.
    Type: Application
    Filed: January 27, 2021
    Publication date: August 19, 2021
    Inventors: Yu-Wei CHANG, Albert Chihchieh YANG, Shih-Jen TSAI