Patents by Inventor Hien Nguyen

Hien Nguyen 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: 20190286976
    Abstract: Numerous embodiments of decoders for use with a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. The decoders include bit line decoders, word line decoders, control gate decoders, source line decoders, and erase gate decoders. In certain embodiments, a high voltage version and a low voltage version of a decoder is used.
    Type: Application
    Filed: May 29, 2018
    Publication date: September 19, 2019
    Inventors: Hieu Van Tran, Stanley Hong, Anh Ly, Thuan Vu, Hien Pham, Kha Nguyen, Han TRan
  • Patent number: 10410093
    Abstract: A method of classifying signals using non-linear sparse representations includes learning a plurality of non-linear dictionaries based on a plurality of training signals, each respective nonlinear dictionary corresponding to one of a plurality of class labels. A non-linear sparse coding process is performed on a test signal for each of the plurality of non-linear dictionaries, thereby associating each of the plurality of non-linear dictionaries with a distinct sparse coding of the test signal. For each respective non-linear dictionary included in the plurality of non-linear dictionaries, a reconstruction error is measured using the test signal and the distinct sparse coding corresponding to the respective non-linear dictionary. A particular nonlinear dictionary corresponding to a smallest value for the reconstruction error among the plurality of non-linear dictionaries is identified and a class label corresponding to the particular non-linear dictionary is assigned to the test signal.
    Type: Grant
    Filed: June 4, 2015
    Date of Patent: September 10, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Hien Nguyen, Shaohua Kevin Zhou
  • Publication number: 20190205729
    Abstract: Numerous embodiments for processing the current output of a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. The embodiments comprise a summer circuit and an activation function circuit. The summer circuit and/or the activation function circuit comprise circuit elements that can be adjusted in response to the total possible current received from the VMM to optimize power consumption.
    Type: Application
    Filed: March 27, 2018
    Publication date: July 4, 2019
    Inventors: Hieu Van Tran, Stanley Hong, Anh Ly, Thuan Vu, Hien Pham, Kha Nguyen, Han Tran
  • Publication number: 20190200880
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: March 4, 2019
    Publication date: July 4, 2019
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 10273679
    Abstract: An improved connection between supported and supporting structural members, particularly for use in structures where the supported member needs to move with respect to the supporting member. The connector has an anchoring leg that allows for the back of the anchoring leg on either side of the sliding leg.
    Type: Grant
    Filed: January 12, 2017
    Date of Patent: April 30, 2019
    Assignee: Simpson Strong-Tie Company Inc.
    Inventors: Larry Randall Daudet, Hien Nguyen, Timothy M. Stauffer, Jin-Jie Lin
  • Patent number: 10258244
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: April 16, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Publication number: 20190092127
    Abstract: A temperature remediation and alarm system for assisting helpless occupants of a vehicle, comprising a portable wearable device to be worn by the helpless occupant, and a vehicle installed device for, inter alia, starting the vehicle's engine, climate control system and alarm system prior to an unsafe temperature being reached when the helpless occupant is left unattended.
    Type: Application
    Filed: September 24, 2018
    Publication date: March 28, 2019
    Inventor: Hien Nguyen
  • Patent number: 10087617
    Abstract: An improved connection between supported and supporting structural members, particularly for use in structures where the supported member needs to move with respect to the supporting member. The connector includes a mounting clip and one or more sliders receiving in one or more openings in the mounting clip.
    Type: Grant
    Filed: January 20, 2017
    Date of Patent: October 2, 2018
    Assignee: Simpson Strong-Tie Company Inc.
    Inventors: Larry Randall Daudet, Hien Nguyen
  • Publication number: 20180242857
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: April 20, 2018
    Publication date: August 30, 2018
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: 9974454
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Grant
    Filed: June 7, 2017
    Date of Patent: May 22, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Publication number: 20180137393
    Abstract: A method of classifying signals using non-linear sparse representations includes learning a plurality of non-linear dictionaries based on a plurality of training signals, each respective nonlinear dictionary corresponding to one of a plurality of class labels. A non-linear sparse coding process is performed on a test signal for each of the plurality of non-linear dictionaries, thereby associating each of the plurality of non-linear dictionaries with a distinct sparse coding of the test signal. For each respective non-linear dictionary included in the plurality of non-linear dictionaries, a reconstruction error is measured using the test signal and the distinct sparse coding corresponding to the respective non-linear dictionary. A particular nonlinear dictionary corresponding to a smallest value for the reconstruction error among the plurality of non-linear dictionaries is identified and a class label corresponding to the particular non-linear dictionary is assigned to the test signal.
    Type: Application
    Filed: June 4, 2015
    Publication date: May 17, 2018
    Inventors: Hien Nguyen, Shaohua Kevin Zhou
  • Patent number: 9938709
    Abstract: A connection is provided between first and second building structural members, wherein a connector is made up of a stiffener and a connection element, and the stiffener nests within the connection element, and both the stiffener and the connection element are attached to the second building structural member with the same fastener or fasteners, and similarly, both the stiffener and the connection element are attached to the first building structural member with the same fastener or fasteners.
    Type: Grant
    Filed: August 25, 2016
    Date of Patent: April 10, 2018
    Assignee: Simpson Strong-Tie Company, Inc.
    Inventors: Larry Randall Daudet, Jin-jie Lin, Timothy M. Stauffer, Hien Nguyen
  • Publication number: 20180089530
    Abstract: A method and system for anatomical landmark detection in medical images using deep neural networks is disclosed. For each of a plurality of image patches centered at a respective one of a plurality of voxels in the medical image, a subset of voxels within the image patch is input to a trained deep neural network based on a predetermined sampling pattern. A location of a target landmark in the medical image is detected using the trained deep neural network based on the subset of voxels input to the trained deep neural network from each of the plurality of image patches.
    Type: Application
    Filed: May 11, 2015
    Publication date: March 29, 2018
    Inventors: David Liu, Bogdan Georgescu, Yefeng Zheng, Hien Nguyen, Shaohua Kevin Zhou, Vivek Kumar Singh, Dorin Comaniciu
  • Patent number: 9918708
    Abstract: A tissue retractor device is provided. The tissue retractor device includes a handle attached to an inflatable rake-shaped tissue retractor head.
    Type: Grant
    Filed: March 21, 2013
    Date of Patent: March 20, 2018
    Assignee: LapSpace Medical Ltd.
    Inventors: Assaf Livne, Gilad Lavi, Hien Nguyen
  • Patent number: 9892361
    Abstract: A method and apparatus for cross-domain medical image synthesis is disclosed. A source domain medical image is received. A synthesized target domain medical image is generated using a trained contextual deep network (CtDN) to predict intensities of voxels of the target domain medical image based on intensities and contextual information of voxels in the source domain medical image. The contextual deep network is a multi-layer network in which hidden nodes of at least one layer of the contextual deep network are modeled as products of intensity responses and contextual response.
    Type: Grant
    Filed: January 21, 2016
    Date of Patent: February 13, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Hien Nguyen, Shaohua Kevin Zhou
  • Publication number: 20170332256
    Abstract: Computer-implemented methods and systems are disclosed for optimizing the performance of wireless networks by automatically capturing wireless traffic and other radio frequency (RF) signal data in the network and analyzing the data to identify network anomalies and to determine one or more solutions, without human intervention.
    Type: Application
    Filed: May 10, 2017
    Publication date: November 16, 2017
    Applicant: Wyebot, Inc.
    Inventors: Anil Gupta, Roger D. Sands, Hien Nguyen, Louis E. Pereira, John S. Balian, David V. Baker
  • Publication number: 20170332255
    Abstract: Computer-implemented methods and systems are disclosed for optimizing the performance of wireless networks by automatically capturing wireless traffic and other radio frequency (RF) signal data in the network and analyzing the data to identify network anomalies and to determine one or more solutions, without human intervention.
    Type: Application
    Filed: May 10, 2017
    Publication date: November 16, 2017
    Applicant: Wyebot, Inc.
    Inventors: Anil Gupta, Hien Nguyen, Roger D. Sands, Louis E. Pereira, John S. Balian, David V. Baker
  • Patent number: 9812829
    Abstract: A small form factor wiring connector provides a two wire to two point connector with separate-hole insertion for two wires, by having two holes on the first casing side of the connector and a terminal connection on the opposite second side of the connector. The design works well for a pluggable or fixed-mounted connector. The separate wire insertion holes and the internal screw-driven clamping means with U-shaped wire clamp and U-shaped fixed terminal surfaces provides positive connections which will not easily loosen.
    Type: Grant
    Filed: November 10, 2016
    Date of Patent: November 7, 2017
    Assignee: Schneider Electric USA, Inc.
    Inventors: Conrad S. Weiden, Samuel Calloway, Anthony Reac Martinez Arazo, Hien Nguyen, Michael V. Maloney
  • Publication number: 20170265754
    Abstract: A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.
    Type: Application
    Filed: June 7, 2017
    Publication date: September 21, 2017
    Inventors: Puneet Sharma, Ali Kamen, Bogdan Georgescu, Frank Sauer, Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, Vivek Kumar Singh
  • Patent number: D801587
    Type: Grant
    Filed: September 30, 2016
    Date of Patent: October 31, 2017
    Assignee: DAQRI, LLC
    Inventors: Douglas Rieck, Brian Mullins, Ryan Ries, Hien Nguyen, Arash Kalantari, Timotheos Leahy