Patents by Inventor Shu Liao

Shu Liao 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).

  • Patent number: 10949975
    Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
    Type: Grant
    Filed: April 1, 2016
    Date of Patent: March 16, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Luca Bogoni, Marcos Salganicoff, Matthias Wolf, Shu Liao, Yiqiang Zhan, Gerardo Hermosillo-Valadez, Xiang Sean Zhou, Zhigang Peng
  • Publication number: 20210065413
    Abstract: A system for Magnetic Resonance Imaging (MRI) is provided. The system may obtain at least one training sample each of which includes full MRI data. The system may also obtain a preliminary subsampling model and a preliminary MRI reconstruction model. The system may further generate a subsampling model corresponding to an MRI reconstruction model by jointly training the preliminary subsampling model and the preliminary MRI reconstruction model using the at least one training sample. The subsampling model may be the trained preliminary subsampling model, and the MRI reconstruction model may be at least a portion of the trained preliminary MRI reconstruction model.
    Type: Application
    Filed: August 26, 2020
    Publication date: March 4, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Xiaoqian HUANG, Shu LIAO
  • Publication number: 20210060152
    Abstract: The present invention relates to a peptide immunogen, comprising at least one copy of amino acid sequence RCPTTGE (called JBP). The peptide immunogen of present invention can induce an effective immune response to two or more mosquito-borne flavivirus. The present invention also provides mono/multivalent virus vaccines to protect animal against multiple mosquito-borne flavivirus infection, including diseases caused by Japanese encephalitis virus (JEV), West Nile virus (WNV), Dengue Virus (DENV), and Zika virus (ZIKV) infections.
    Type: Application
    Filed: September 3, 2020
    Publication date: March 4, 2021
    Inventors: CHING-LEN LIAO, MING-SHU HSIEH, SHU-PEI LIEN
  • Publication number: 20210063884
    Abstract: A reflective mask-less laser direct imaging system includes laser equipment that includes laser light sources, focusing lenses, a scanner and a compensating lens. The focusing lenses focus light beams onto a photosensitive layer of a substrate from the laser light sources. The scanner includes a rotatable polygonal mirror formed with multiple facets used to reflect the light beams to the substrate from the focusing lenses. The compensating lens includes a convex surface pointed at the polygonal mirror and a flat surface pointed at the compensating lens. The light beams go from the polygonal mirror into the compensating lens via the convex surface. The light beams leave the compensating lens via the flat surface before heading for the substrate.
    Type: Application
    Filed: October 2, 2019
    Publication date: March 4, 2021
    Inventors: KUO-SHU HUNG, CHUN-HSUEN LIU, MING-HUNG CHANG, SHU-CHENG LIAO
  • Publication number: 20210043153
    Abstract: A method of gray level adjustment for an image data generator includes receiving a plurality of image frames including a first image frame and a second image frame next to the first image frame, wherein the first image frame includes a first input subpixel data corresponding to a first subpixel of a display panel and the second image frame includes a second input subpixel data corresponding to the first subpixel; with respect to the first input subpixel data, outputting a first gray level data of a first gamma lookup table as a first output subpixel data; and with respect to the second input subpixel data, outputting a second gray level data of a second gamma lookup table as a second output subpixel data. The first output subpixel data and the second output subpixel data are corresponding to the first subpixel of the display panel.
    Type: Application
    Filed: August 22, 2019
    Publication date: February 11, 2021
    Inventors: Yun-Shu Yang, Yen-Tao Liao, Hongchun Cong
  • Patent number: 10843139
    Abstract: The present disclosure provides compositions comprising anisotropic chain-like silica nanoparticles functionalized with hydrophilic groups. The anisotropic chain-like silica nanoparticles comprise linked arrays of charged silica nanoparticles, each linked array have at least one linear dimension of from about 100 nm to about 1200 nm and the anisotropic chain-like silica nanoparticles each in have a diameter of from about 10 nm to about 500 nm. These compositions are superoleophobic in the presence of water, e.g., when submerged in water. Also provided are layered coatings comprising these compositions, substrates comprising the layered coatings, articles comprising the layered coatings, methods of filtering a mixture of water and an oil using the compositions described herein, and methods of preparing a superoleophobic coating on a substrate using the compositions described herein.
    Type: Grant
    Filed: June 28, 2017
    Date of Patent: November 24, 2020
    Assignee: The Trustees of the University of Pennsylvania
    Inventors: Shu Yang, Daeyeon Lee, Zhiwei Liao, Gaoxiang Wu
  • Publication number: 20200342637
    Abstract: A system for PET image reconstruction is provided. The system may obtain PET data of a subject. The PET data may be associated with a plurality of coincidence events, which includes scattering events. The system may also generate a preliminary scatter sinogram relating to the scattering events based on the PET data. The system may also generate a target scatter sinogram relating to the scattering events by applying a scatter sinogram generator based on the preliminary scatter sinogram. The target scatter sinogram may have a higher image quality than the preliminary scatter sinogram. The system may further reconstruct a target PET image of the subject based on the PET data and the target scatter sinogram.
    Type: Application
    Filed: April 27, 2020
    Publication date: October 29, 2020
    Applicants: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD., SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Yang ZHANG, Shu LIAO, Liuchun HE, Zilin DENG
  • Publication number: 20200328361
    Abstract: Organic photoelectric device comprises a first electrode, a first carrier transfer layer, an active layer, a second carrier transfer layer and a second electrode. The first electrode is a transparent electrode. The active layer includes at least one organic semiconductor material including a structure such as Formula I: The second carrier transfer layer is composed between the active layer and the second electrode. When X1 and X2 are selected from one of Si, Ge and derivatives thereof, the active layer further includes an organic solvent, and the solubility of the organic solvent to the active layer is not less than 5 mg/mL. When X1 and X2 are selected from one of C and its derivatives, the active layer further includes an additive. The power conversion efficiency of the organic photoelectric device of the present invention can be up to more than 14%.
    Type: Application
    Filed: April 10, 2020
    Publication date: October 15, 2020
    Inventors: Chain-Shu Hsu, Jun-Yan Yu, You-Wei Lin, Kuan-Lin Peng, Yi-Ming Chang, Chuang-Yi Liao, Huei Shuan Tan
  • Patent number: 10803354
    Abstract: A framework for cross-modality image synthesis. A first and second model may be trained using respective first and second pairs of complementary images and corresponding first and second ground truth images that represent first and second views of a region of interest. The first and second pairs of complementary images may be acquired by a first modality and the first and second ground truth images may be acquired by a second modality. A combinational network may further be trained to combine features from the first and second models. At least one synthetic second modality image may then be generated by passing current images through the trained first or second model and the combinational network, wherein the current images are acquired by the first modality and represent the first or second view of the region of interest.
    Type: Grant
    Filed: January 28, 2019
    Date of Patent: October 13, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Yu Zhao, Yimo Gao, Shu Liao, Liang Zhao, Zhennan Yan, Yiqiang Zhan, Xiang Sean Zhou
  • Patent number: 10803631
    Abstract: A method for magnetic resonance imaging may include acquiring first k-space data that is generated by entering acquired magnetic resonance (MR) data into a plurality of first k-space locations. The method may further include synthesizing second k-space data for a plurality of second k-space locations that are not filled with the acquired MR data. The method may further include reconstructing an image from the first k-space data and the second k-space data by applying a reconstruction algorithm. The reconstruction algorithm is based at least in part on a neural network technique.
    Type: Grant
    Filed: April 22, 2019
    Date of Patent: October 13, 2020
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Guobin Li, Nan Liu, Jinguang Zong, Xiaoqian Huang, Shu Liao
  • Patent number: 10791266
    Abstract: The image processing circuit includes a receiving circuit, configured to receive a plurality of pixels of a video frame, wherein the plurality of pixels are corresponding to a plurality of pixel locations, a pixel location of a pixel is corresponding to a gamma category value, and the gamma category value is either a gamma-high value or a gamma-low value; and a gamma table circuit, configured to obtain a gamma table; and a compensation circuit, configured to generate an output pixel value; wherein a plurality of first pixel locations are corresponding to a plurality of gamma-high tables, and the plurality of gamma-high tables are mutually different; wherein a plurality of second pixel locations are corresponding to a plurality of gamma-low tables, and the plurality of gamma-low tables are mutually different.
    Type: Grant
    Filed: June 23, 2019
    Date of Patent: September 29, 2020
    Assignee: NOVATEK Microelectronics Corp.
    Inventors: Yun-Shu Yang, Yen-Tao Liao
  • Patent number: 10730276
    Abstract: A vacuum system for film lamination, including a vacuum chamber module, a film-pressing module, a substrate susceptor module and a hot-plate heating module, is disclosed, wherein the film-pressing module includes a film-pressing platen, and the substrate susceptor module includes a substrate susceptor supported by a spring-loaded mechanism. During a film-lamination process, the film-pressing platen is actuated to move downwards to attach a laminating film onto a substrate, and the substrate susceptor is actuated to move downwards and finally rest on the hot-plate heating module. Therefore an adhesive glue disposed between the laminating film and the substrate can be thermally cured. After completing the film-lamination process, the film-pressing platen is actuated upwards so that the substrate susceptor also is actuated to move upwards to its initial position by a restoring force exerted by the spring-loaded mechanism.
    Type: Grant
    Filed: January 5, 2018
    Date of Patent: August 4, 2020
    Assignee: Maven Optronics Co., Ltd.
    Inventors: Chieh Chen, Chung-Shu Liao, Ping-Lin Wu, Hsiuwen Wang
  • Publication number: 20200211209
    Abstract: The present disclosure is related to systems and methods for image processing. The method includes obtaining a first image of a first modality. The method includes generating a second image of a second modality by processing, based on a trained machine learning model, the first image. The second modality may be different from the first modality.
    Type: Application
    Filed: December 28, 2019
    Publication date: July 2, 2020
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Shu LIAO, Yunhao GE, Dongming WEI
  • Publication number: 20200202586
    Abstract: A method for magnetic resonance imaging may include acquiring first k-space data that is generated by entering acquired magnetic resonance (MR) data into a plurality of first k-space locations. The method may further include synthesizing second k-space data for a plurality of second k-space locations that are not filled with the acquired MR data. The method may further include reconstructing an image from the first k-space data and the second k-space data by applying a reconstruction algorithm. The reconstruction algorithm is based at least in part on a neural network technique.
    Type: Application
    Filed: April 22, 2019
    Publication date: June 25, 2020
    Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Guobin LI, Nan LIU, Jinguang ZONG, Xiaoqian HUANG, Shu LIAO
  • Publication number: 20200126706
    Abstract: The present invention discloses a device for evaluating and demagnetizing residual magnetism quantity of a power transformer. A main circuit comprises a switching power supply the two ends of which are respectively connected with a filter capacitor and a resistor in parallel. A forward end of the switching power supply is connected with a main switch in series. A rear end of the main switch is connected with a series branch of a sixth switch and a first resistor, a series branch of a first switch and a second switch, and a series branch of a third switch and a fourth switch are connected in parallel. A driving circuit is respectively connected with driving ends of the main switch, the sixth, first, second, third and fourth switches. A control circuit is connected with the driving circuit for sending an instruction to the driving circuit.
    Type: Application
    Filed: July 31, 2019
    Publication date: April 23, 2020
    Applicants: State Grid Jiangsu Electric Power Co.,Ltd. Research Institute, Jiangsu Electric Power Research Institute Corporation Limited, State Grid Jiangsu Electric Power Co.,Ltd., Nanjing DNN Technology Co.,LTD
    Inventors: Fengbo TAO, Jiansheng LI, Chao WEI, Yang LIU, Xu WEI, Yuncai LU, Shu CHEN, Hairong WEI, Yiming WU, Xiaoping YANG, Jieqing DENG, Peng WU, Tianxi XIE, Shengquan WANG, Caibo LIAO, Ruibin LI
  • Publication number: 20200058390
    Abstract: A method and system are for identification of at least one medical reference image. An embodiment of the method includes providing a medical representation image based on a current examination image depicting a body part of a first patient; defining a region of interest in the medical representation image; generating a feature signature, at least for the region of interest; comparing the medical representation image with a plurality of medical images of at least one second patient stored in a medical image database, based on the feature signature generated; and identifying at least one medical image in the medical image database as the at least one medical reference image, the at least one medical reference image providing a similarity degree to the medical representation image above a threshold. In an embodiment, the generating is performed using a trained machine-learning algorithm.
    Type: Application
    Filed: August 7, 2019
    Publication date: February 20, 2020
    Applicant: Siemens Healthcare GmbH
    Inventors: Sven KOHLE, Christian TIETJEN, Gerardo HERMOSILLO VALADEZ, Shu LIAO, Felix RITTER, Jan KRETSCHMER
  • Publication number: 20190311228
    Abstract: A framework for cross-modality image synthesis. A first and second model may be trained using respective first and second pairs of complementary images and corresponding first and second ground truth images that represent first and second views of a region of interest. The first and second pairs of complementary images may be acquired by a first modality and the first and second ground truth images may be acquired by a second modality. A combinational network may further be trained to combine features from the first and second models. At least one synthetic second modality image may then be generated by passing current images through the trained first or second model and the combinational network, wherein the current images are acquired by the first modality and represent the first or second view of the region of interest.
    Type: Application
    Filed: January 28, 2019
    Publication date: October 10, 2019
    Inventors: Yu Zhao, Yimo Gao, Shu Liao, Liang Zhao, Zhennan Yan, Yiqiang Zhan, Xiang Sean Zhou
  • Patent number: 10390886
    Abstract: A framework for pedicle screw positioning is described herein. In accordance with one aspect, the framework segments at least one vertebra of interest in image data. The framework then automatically determines a pedicle region within the segmented vertebra of interest, and a safe region within the segmented vertebra of interest. An optimal insertion path passing through the pedicle region may then be generated within the safe region.
    Type: Grant
    Filed: September 30, 2016
    Date of Patent: August 27, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Mingzhong Li, Shu Liao, Fitsum Aklilu Reda, Yiqiang Zhan, Xiang Sean Zhou, Gerhard Kleinszig
  • Patent number: 10379638
    Abstract: A method of determining an adaptive DPI curve includes the steps of: detecting, by a sensing element, an object on a touch surface and outputting a detected frame; calculating, by a processing unit, a contact range according to the detected frame; and determining a DPI curve according to the contact range.
    Type: Grant
    Filed: January 9, 2015
    Date of Patent: August 13, 2019
    Assignee: PIXART IMAGING INC.
    Inventors: Chi-Chieh Liao, Han-Shu Lin, Tse-Chung Su
  • Publication number: 20190244399
    Abstract: The present disclosure is related to systems and methods for image processing. The method may include obtaining a first set of image data. The method may also include generating a second set of image data by processing, based on a trained machine learning model, the first set of image data. The second set of image data may have a relatively high resolution and/or a relatively low level of artifacts with respect to the first set of image data. The method may further include generating a target image by performing a weighted fusion on the first set of image data and the second set of image data.
    Type: Application
    Filed: January 25, 2019
    Publication date: August 8, 2019
    Applicants: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Guobin LI, Nan LIU, Xiaoqian HUANG, Shu LIAO