Patents by Inventor Zhou Yu

Zhou Yu 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: 20230198537
    Abstract: A follow-hold switch circuit comprising: a follower; a sampling sub-circuit for voltage sampling; a bootstrap-control sub-circuit, which provides a bootstrap voltage to the sampling sub-circuit when the circuit is in a following state; a sampling-switch-control sub-circuit, which provides a common-mode voltage to a bootstrap capacitor in the bootstrap-control sub-circuit when the circuit is in a holding state; the follower is connected to an output of the sampling sub-circuit; the sampling sub-circuit is connected to the bootstrap-control sub-circuit and the sampling-switch-control sub-circuit respectively through a sampling switch; the present disclosure can effectively improve the linearity of sampling switches.
    Type: Application
    Filed: January 19, 2021
    Publication date: June 22, 2023
    Applicants: NO.24 RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION, Chongqing GigaChip Technology Co., Ltd.
    Inventors: Daiguo XU, Dongbing FU, Zhengping ZHANG, Zhou YU, Jian'an WANG, Can ZHU, Ruzhang LI, Guangbing CHEN, Yuxin WANG, Xueliang XU
  • Publication number: 20230198475
    Abstract: A differential-follower control circuit has been provided, comprising: a follower; an output-voltage following module, which controls a voltage at a control terminal of the follower to vary with an output voltage; a substrate-voltage following module, which controls a substrate voltage of an output transistor of the follower to vary with an input voltage; an output terminal of the follower is connected to a first terminal of the output-voltage following module; a second terminal of the output-voltage following module is connected to the control terminal of the follower; a first terminal of the substrate-voltage following module is connected to an input terminal of the follower and a second terminal of the substrate-voltage following module is connected to a substrate of the output transistor; the invention effectively improves the overall linearity of the follower.
    Type: Application
    Filed: January 19, 2021
    Publication date: June 22, 2023
    Applicants: NO.24 RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION, Chongqing GigaChip Technology Co., Ltd.
    Inventors: Daiguo XU, Dongbing FU, Zhengping ZHANG, Zhou YU, Jian'an WANG, Can ZHU, Ruzhang LI, Guangbing CHEN, Yuxin WANG, Xueliang XU
  • Patent number: 11672498
    Abstract: An information processing method of an embodiment is a processing method of information acquired by imaging performed by a medical image diagnostic apparatus, the information processing method includes the steps of: on the basis of first subject data acquired by the imaging performed by the medical image diagnostic apparatus, acquiring noise data in the first subject data; on the basis of second subject data acquired by the imaging performed by a medical image diagnostic modality same kind as the medical image diagnostic apparatus and the noise data, acquiring synthesized subject data in which noises based on the noise data are added to the second subject data; and acquiring a noise reduction processing model by machine learning using the synthesized subject data and third subject data acquired by the imaging performed by the medical image diagnostic modality.
    Type: Grant
    Filed: July 29, 2020
    Date of Patent: June 13, 2023
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Masakazu Matsuura, Jian Zhou, Zhou Yu
  • Publication number: 20230177745
    Abstract: Devices, systems, and methods obtain first radiographic-image data reconstructed based on a set of projection data acquired in a radiographic scan; apply one or more trained machine-learning models to the set of projection data and the first radiographic-image data to obtain a set of parameters for a scatter kernel; input the set of parameters and the set of projection data into the scatter kernel to obtain scatter-distribution data; and perform scatter correction on the set of projection data using the scatter-distribution data, to obtain a set of corrected projection data.
    Type: Application
    Filed: December 3, 2021
    Publication date: June 8, 2023
    Inventors: Yujie Lu, Tzu-Cheng Lee, Liang Cai, Jian Zhou, Zhou Yu
  • Publication number: 20230145523
    Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry configured to acquire a radiographic image of a subject and acquire a post-processing image with reduced steak artifacts by applying a model that reduces streak artifacts to the radiographic image, wherein the model is generated by machine learning that uses, as a training data pair, a first radiographic image and a second radiographic image based on artifact generation processing for generating streak artifacts.
    Type: Application
    Filed: February 24, 2022
    Publication date: May 11, 2023
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Masakazu MATSUURA, Jian ZHOU, Zhou YU
  • Patent number: 11639021
    Abstract: A method and device for fabricating vascular networks in for tissue engineering. The vascular network is embedded in a porous scaffold and is created from a sacrificial wax template, according to one embodiment. A extrusion-based three dimensional printer is used to create the template, wherein the printer utilizes an extruder incorporating a mixer to maintain the consistency of the extrudate.
    Type: Grant
    Filed: August 9, 2019
    Date of Patent: May 2, 2023
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Zhou Yu, Philip R. LeDuc, O. Burak Ozdoganlar
  • Publication number: 20230119427
    Abstract: A method and apparatus is provided that uses a deep learning (DL) network to reduce noise and artifacts in reconstructed medical images, such as images generated using computed tomography, positron emission tomography, and magnetic resonance imaging. The DL network can operate either on pre-reconstruction data or on a reconstructed image. The DL network can be an artificial neural network or a convolutional neural network (e.g., using a three-channel volumetric kernel architecture). Different neural networks can be trained depending on the noise level, scanning protocol, or the anatomic, diagnostic or clinical objective of the reconstructed image (e.g., by partitioning the training data into noise-level range and training respective DL networks for each range). Further, the DL networks can be trained to mitigate artifacts, such as the cone-beam artifact.
    Type: Application
    Filed: November 11, 2022
    Publication date: April 20, 2023
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Jian ZHOU, Zhou YU, Yan LIU
  • Publication number: 20230077889
    Abstract: An automatic observing net is provided, and applied in croppers, creatures and cultivation via a feeding and observing equipment, and characterized in comprising a monitoring and identifying system; a feeding equipment control system, connected to the monitoring and identifying system, and including a monitoring data process center, a feeding operation platform, a feeding control center; and a feeding equipment execution system, connected to the feeding equipment control system. A utilizing method of an automatic observing net is provided, and characterized in: the automatic observing net being provided to allow a plurality of feeding and observing equipment to be corresponding to a plurality of cultivating farms for monitoring the cultivation at the same time so to as connect and communicate the data, wherein with a common platform interface, a remote control operation being achieved, the operator only requires to go to the farm when the platform interface sends a requirement.
    Type: Application
    Filed: September 15, 2021
    Publication date: March 16, 2023
    Inventors: Wan-Zhou YU, Ting-Yu CHEN, Hsuan-Chung HUANG, Shun-Qing ZHANG, Yen-Chun TUNG
  • Publication number: 20230083935
    Abstract: An apparatus and method to obtain input projection data based on radiation detected at a plurality of detector elements, reconstruct plural uncorrected images in response to applying a reconstruction algorithm to the input projection data, segment the plural uncorrected images into two or more types of material-component images by applying a deep learning segmentation network, generate output projection data corresponding to the two or more types of material-component images based on a forward projection, generate corrected multi material-decomposed projection data based on the generated output projection data corresponding to the two or more types of material-component images, and reconstruct the multi material-component images from the corrected multi material-decomposed projection data to generate one or more corrected images.
    Type: Application
    Filed: September 8, 2021
    Publication date: March 16, 2023
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Yujie LU, Ilmar HEIN, Zhou YU
  • Publication number: 20230067596
    Abstract: Data acquired from a scan of an object can be decomposed into frequency components. The frequency components can be input into a trained model to obtain processed frequency components. These processed frequency components can be composed and used to generate a final image. The trained model can be trained, independently or dependently, using frequency components covering the same frequencies as the to-be-processed frequency components. In addition, organ specific processing can be enabled by training the trained model using image and/or projection datasets of the specific organ.
    Type: Application
    Filed: August 31, 2021
    Publication date: March 2, 2023
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Qiulin TANG, Ruoqiao ZHANG, Jian ZHOU, Zhou YU
  • Publication number: 20230011759
    Abstract: An apparatus, method, and computer-readable medium for improving image quality of a medical volume.
    Type: Application
    Filed: July 7, 2021
    Publication date: January 12, 2023
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Yujie LU, Qiulin TANG, Zhou YU, Jian ZHOU
  • Patent number: 11547378
    Abstract: A method and apparatus is provided that uses a deep learning (DL) network together with a multi-resolution detector to perform X-ray projection imaging to provide improved resolution similar to a single-resolution detector but at lower cost and less demand on the communication bandwidth between the rotating and stationary parts of an X-ray gantry. The DL network is trained using a training dataset that includes input data and target data. The input data includes projection data acquired using a multi-resolution detector, and the target data includes projection data acquired using a single-resolution, high-resolution detector. Thus, the DL network is trained to improve the resolution of projection data acquired using a multi-resolution detector. Further, the DL network is can be trained to additional correct other aspects of the projection data (e.g., noise and artifacts).
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: January 10, 2023
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Ilmar Hein, Zhou Yu, Tzu-Cheng Lee
  • Publication number: 20220409194
    Abstract: The present application provides a ligation release device, comprising: a handle (1), an operating component (2), a suction component (3), a release component (4) and an illumination component (5), wherein the illumination component (5) is arranged in the handle (1) and comprises a light source (51), a wire (52) and a control switch (53), and the control switch (53) is connected to the light source (51) by means of the wire (52). In practical applications, the light source (51) can be turned on by operating the control switch (53), thereby illuminating a ligation area at the distal end of the handle (1), eliminating shadow influence and facilitating the implementation of ligation operation. The ligation release device can improve the ease and accuracy of surgical operation without an external auxiliary apparatus.
    Type: Application
    Filed: April 30, 2020
    Publication date: December 29, 2022
    Applicant: MICRO-TECH (NANJING) CO., LTD.
    Inventors: Zhou Yu, Zhi Tang, Changqing Li
  • Publication number: 20220407734
    Abstract: Disclosed in the embodiments of the present disclosure are an interaction method and apparatus, and an electronic device. A specific implementation of the method comprises: receiving a multimedia data stream sent by a user participating in a multimedia conference; determining a live multimedia data stream from the multimedia data stream based on a received live instruction of the multimedia conference; and transmitting the live multimedia data stream to a live server, in order that the live server generates a live data stream from the multimedia conference based on the live multimedia data stream.
    Type: Application
    Filed: August 19, 2022
    Publication date: December 22, 2022
    Inventors: Jiaxi XIAHOU, Mao LI, Xin ZHANG, Jingsheng YANG, Shun HUANG, Ziyun QI, Zhenli DAI, Zhou YU, Lingfeng LI
  • Publication number: 20220400627
    Abstract: The present invention provides an intelligent cultivating system, which is used for monitoring and identifying a current cultivating status of a cultivating creature, and includes a processing center, a remote monitoring system and a harvesting system. The processing center is used for providing a cultivating regulation and controlling process for monitoring and identifying a current cultivating status. The remote monitoring system is used for regulating and controlling an automatic cultivating parameter of the cultivating regulation and controlling process. The harvesting system is used for preparing a dispatching process to the cultivating creatures, and used for collecting the automatic cultivating parameter of the cultivating regulation and controlling process.
    Type: Application
    Filed: June 18, 2021
    Publication date: December 22, 2022
    Inventors: Wan-Zhou YU, Ting-Yu CHEN, Hsuan-Chung HUANG, Shun-Qing ZHANG
  • Publication number: 20220399101
    Abstract: The present disclosure relates to a spatially-variant model of a point spread function and its role in enhancing medical image resolution. For instance, a method of the present disclosure comprises receiving a first medical image having a first resolution, applying a neural network to the first medical image, the neural network including a first subset of layers and, subsequently, a second subset of layers, the first subset of layers of the neural network generating, from the first medical image, a second medical image having a second resolution and the second subset of layers of the neural network generating, from the second medical image, a third medical image having a third resolution, and outputting the third medical image, wherein the first resolution is lower than the second resolution and the second resolution is lower than the third resolution.
    Type: Application
    Filed: June 9, 2021
    Publication date: December 15, 2022
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Liang CAI, Jian ZHOU, Zhou YU
  • Publication number: 20220394191
    Abstract: A shooting method includes the following steps. A current display page is displayed and controls in a control region of the current display page are also displayed, where the controls includes a main shooting control and at least two special effect controls; when a target slide operation acting on a main display region of the current display page is received, each control is controlled to move; when the target control is the special effect control, a shooting page and a preview effect of a target shoot special effect are displayed on the shooting page, and when a first trigger operation acting on the trigger position is detected, shooting is performed by using the target shooting special effect; and when the target control is the main shooting control, the shooting page is displayed, and when a second trigger operation acting on the trigger position is detected, the shooting is performed.
    Type: Application
    Filed: August 15, 2022
    Publication date: December 8, 2022
    Inventors: Xingyi WANG, Zhou YU
  • Publication number: 20220390636
    Abstract: Techniques to reduce noise in seismic data by receiving a set of seismic data comprising a plurality of input volumes each inclusive of positional data and at least one additional attribute related to the seismic data, selecting a first input volume of the plurality of input volumes having a first additional attribute related to the seismic data, and generating a pilot volume by selecting a range of input volumes of the plurality of input volumes and stacking input volumes of the range of input volumes with the first input volume. Additionally, generating a trained dictionary based upon transformation of the pilot volume, transforming the first input volume into transformed data, imposing a sparse condition on the transformed data utilizing the trained dictionary to generate sparsified data, and inverse transforming the sparsified data to generate an output data volume as a portion of a set of modified seismic data.
    Type: Application
    Filed: November 5, 2020
    Publication date: December 8, 2022
    Applicant: BP Corporation North America Inc.
    Inventor: Zhou YU
  • Patent number: 11517197
    Abstract: A method and apparatus is provided that uses a deep learning (DL) network to reduce noise and artifacts in reconstructed medical images, such as images generated using computed tomography, positron emission tomography, and magnetic resonance imaging. The DL network can operate either on pre-reconstruction data or on a reconstructed image. The DL network can be an artificial neural network or a convolutional neural network (e.g., using a three-channel volumetric kernel architecture). Different neural networks can be trained depending on the noise level, scanning protocol, or the anatomic, diagnostic or clinical objective of the reconstructed image (e.g., by partitioning the training data into noise-level range and training respective DL networks for each range). Further, the DL networks can be trained to mitigate artifacts, such as the cone-beam artifact.
    Type: Grant
    Filed: October 6, 2017
    Date of Patent: December 6, 2022
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Jian Zhou, Zhou Yu, Yan Liu
  • Publication number: 20220367039
    Abstract: A method and system enable to-be-processed medical image data and its corresponding noise characteristic information to be normalized to resemble noise characteristic information of training data used to train at least one neural network for at least one ultrasound data acquisition mode. After normalizing, this processed medical image data is input into the trained neural network for producing output data used for generating cleaner images. Noise characteristic information can be used directly in training a neural network, generating a trained neural network that can handle medical image data with various noise characteristics.
    Type: Application
    Filed: April 27, 2022
    Publication date: November 17, 2022
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Liang CAI, Jian ZHOU, Ting XIA, Zhou YU, Tomohisa IMAMURA, Ryosuke IWASAKI, Hiroki TAKAHASHI