Patents by Inventor Dijia Wu

Dijia Wu 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: 20200273160
    Abstract: Method and system for displaying one or more regions of interest of an original image. For example, a computer-implemented method for displaying one or more regions of interest of an original image includes: obtaining one or more detection results of one or more first regions of interest, each detection result of the one or more detection results corresponding to one first region of interest of the one or more first regions of interest, each detection result including image information and one or more attribute parameters for their corresponding first region of interest; and obtaining one or more attribute parameter thresholds provided by a user in real time, each attribute parameter threshold of the one or more attribute parameter thresholds corresponding to one attribute parameter of the one or more attribute parameters.
    Type: Application
    Filed: May 23, 2019
    Publication date: August 27, 2020
    Inventors: JIANFENG ZHANG, YANLI SONG, DIJIA WU, YIQIANG ZHAN, XIANG SEAN ZHOU
  • Publication number: 20200211187
    Abstract: Systems and methods for ossification center detection (OCD) and bone age assessment (BAA) may be provided. The method may include obtaining a bone age image of a subject. The method may include generating a normalized bone age image by preprocessing the bone age image. The method may include determining, based on the normalized bone age image, positions of a plurality of ossification centers using an ossification center localization (OCL) model. The method may include estimating, based on the normalized bone age image and information related to the positions of the plurality of ossification centers, a bone age of the subject using a bone age assessment (BAA) model.
    Type: Application
    Filed: December 28, 2019
    Publication date: July 2, 2020
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Minqing ZHANG, Qin LIU, Dijia WU, Yiqiang ZHAN, Xiang Sean ZHOU
  • Publication number: 20200205766
    Abstract: A method for exposure controlling in medical device may include obtaining one or more exposure parameters relating to an exposure process associated with an object performed by a radiation device. The method may also include obtaining object information relating to the object. The method may also include determining an exposure moment based on the object information. The method may also include causing the radiation device to perform the exposure process to the object based on the one or more exposure parameters and the exposure moment.
    Type: Application
    Filed: December 29, 2019
    Publication date: July 2, 2020
    Applicants: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD., SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Dijia WU, Yongqin XIAO
  • Patent number: 10650226
    Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving one or more data streams captured by one or more sensors sensing a candidate face. In a plurality of stages that each comprises a different analysis, one or more of the data streams are analyzed, and the stages comprise determining whether a plurality of candidate face depth points lies on a single flat plane or a curving plane. Based at least in part on determining that the plurality of candidate face depth points lies on the single flat plane, an indication of the false representation of the human face is outputted.
    Type: Grant
    Filed: June 19, 2018
    Date of Patent: May 12, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Chun-Te Chu, Michael J. Conrad, Dijia Wu, Jinyu Li
  • Publication number: 20200074712
    Abstract: Method and system for displaying a medical image. For example, a computer-implemented method for displaying a medical image includes acquiring an original image of a target; obtaining a lesion region in the original image; selecting a region of interest in the original image based on at least the lesion region, the region of interest including the lesion region; obtaining a plurality of planar images of the region of interest from the original image of the target based on at least a predetermined setting; generating an animated display by grouping the plurality of planar images based on at least a predetermined order; and displaying the animated display related to the region of interest including the lesion region.
    Type: Application
    Filed: July 3, 2019
    Publication date: March 5, 2020
    Inventors: Dijia Wu, Yaozong Gao, Yiqiang Zhan
  • Publication number: 20180307895
    Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving one or more data streams captured by one or more sensors sensing a candidate face. In a plurality of stages that each comprises a different analysis, one or more of the data streams are analyzed, and the stages comprise determining whether a plurality of candidate face depth points lies on a single flat plane or a curving plane. Based at least in part on determining that the plurality of candidate face depth points lies on the single flat plane, an indication of the false representation of the human face is outputted.
    Type: Application
    Filed: June 19, 2018
    Publication date: October 25, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chun-Te Chu, Michael J. Conrad, Dijia Wu, Jinyu Li
  • Patent number: 10048749
    Abstract: Examples are disclosed herein that relate to gaze tracking. One example provides a computing device including an eye-tracking system including an image sensor, a logic device, and a storage device comprising instructions executable by the logic device to track an eye gaze direction by acquiring an image of the eye via the eye-tracking system, and determining a determined location of a center of a lens of the eye from the image of the eye. The instructions are further executable to adjust the determined location of the center of the lens on a sub-pixel scale by applying a predetermined sub-pixel offset to the determined location of the center of the lens to produce an adjusted location of the center of the lens, to determine a gaze direction from the adjusted location of the center of the lens, and perform an action on a computing device based on the gaze direction.
    Type: Grant
    Filed: January 9, 2015
    Date of Patent: August 14, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Xu Miao, Michael J. Conrad, Dijia Wu
  • Patent number: 10007839
    Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving a plurality of different data streams captured by a respective plurality of sensors of differing sensor types sensing a candidate face. In a cascading plurality of stages, one or more of the different data streams are analyzed, wherein each of the stages comprises a different analysis. In one of the cascading plurality of stages, the method determines that one or more of the different data streams corresponds to a false representation of the human face. Based on determining that one or more of the different data streams corresponds to a false representation of a human face, an indication of the false representation is outputted.
    Type: Grant
    Filed: February 27, 2017
    Date of Patent: June 26, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Chun-Te Chu, Michael J. Conrad, Dijia Wu, Jinyu Li
  • Patent number: 9864430
    Abstract: Examples are disclosed herein that are related to gaze tracking via image data. One example provides, on a gaze tracking system comprising an image sensor, a method of determining a gaze direction, the method comprising acquiring image data via the image sensor, detecting in the image data facial features of a human subject, determining an eye rotation center based upon the facial features using a calibrated face model, determining an estimated position of a center of a lens of an eye from the image data, determining an optical axis based upon the eye rotation center and the estimated position of the center of the lens, determining a visual axis by applying an adjustment to the optical axis, determining the gaze direction based upon the visual axis, and providing an output based upon the gaze direction.
    Type: Grant
    Filed: January 9, 2015
    Date of Patent: January 9, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Dijia Wu, Michael J. Conrad, Tim Burrell, Xu Miao, Zicheng Liu, Qin Cai, Zhengyou Zhang
  • Patent number: 9704038
    Abstract: Examples are disclosed herein that relate to eye tracking based on two-dimensional image data. One example provides, on a computing device, a method of tracking an eye. The method includes receiving image data from an image sensor, detecting a face of the user in the image data, locating the eye in a region of the face in the image data to obtain an eye image, normalizing one or more of a scale and an illumination of the eye image, fitting an ellipse to an iris of the eye in the eye image, and outputting a determination of an eye gaze direction based upon the ellipse fitted.
    Type: Grant
    Filed: January 7, 2015
    Date of Patent: July 11, 2017
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Dijia Wu, Michael J. Conrad, Chun-Te Chu, Geoffrey John Hulten
  • Publication number: 20170169284
    Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving a plurality of different data streams captured by a respective plurality of sensors of differing sensor types sensing a candidate face. In a cascading plurality of stages, one or more of the different data streams are analyzed, wherein each of the stages comprises a different analysis. In one of the cascading plurality of stages, the method determines that one or more of the different data streams corresponds to a false representation of the human face. Based on determining that one or more of the different data streams corresponds to a false representation of a human face, an indication of the false representation is outputted.
    Type: Application
    Filed: February 27, 2017
    Publication date: June 15, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chun-Te Chu, Michael J. Conrad, Dijia Wu, Jinyu Li
  • Patent number: 9646229
    Abstract: A method and system for automatic bone segmentation and landmark detection for joint replacement surgery is disclosed. A 3D medical image of at least a target joint region of a patient is received. A plurality bone structures are automatically segmented in the target joint region of the 3D medical image and a plurality of landmarks associated with a joint replacement surgery are automatically detected in the target joint region of the 3D medical image. The boundaries of segmented bone structures can then be interactively refined based on user inputs.
    Type: Grant
    Filed: September 30, 2013
    Date of Patent: May 9, 2017
    Assignee: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Michal Sofka, Meizhu Liu, Dijia Wu, Shaohua Kevin Zhou
  • Patent number: 9582724
    Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving a plurality of different data streams captured by a respective plurality of sensors of differing sensor types sensing a candidate face. In a cascading plurality of stages, one or more of the different data streams are analyzed, wherein each of the stages comprises a different analysis. In one of the cascading plurality of stages, the method determines that one or more of the different data streams corresponds to a false representation of the human face. Based on determining that one or more of the different data streams corresponds to a false representation of a human face, an indication of the false representation is outputted.
    Type: Grant
    Filed: January 27, 2016
    Date of Patent: February 28, 2017
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Chun-Te Chu, Michael J. Conrad, Dijia Wu, Jinyu Li
  • Patent number: 9542741
    Abstract: A method and system for automatic pelvis unfolding from 3D computed tomography (CT) images is disclosed. A 3D medical image, such as a 3D CT image, is received. Pelvis anatomy is segmented in the 3D medical image. The 3D medical image is reformatted to visualize an unfolded pelvis based on the segmented pelvis anatomy.
    Type: Grant
    Filed: February 12, 2014
    Date of Patent: January 10, 2017
    Assignee: Siemens Healthcare GmbH
    Inventors: Neil Birkbeck, Dijia Wu, Michal Sofka, Meizhu Liu, Grzegorz Soza, Shaohua Kevin Zhou, Clifford R. Weiss, Atilla Peter Kiraly
  • Patent number: 9495752
    Abstract: Multiple object segmentation is performed for three-dimensional computed tomography. The adjacent objects are individually segmented. Overlapping regions or locations designated as belonging to both objects may be identified. Confidence maps for the individual segmentations are used to label the locations of the overlap as belonging to one or the other object, not both. This re-segmentation is applied for the overlapping local, and not other locations. Confidence maps in re-segmentation and application just to overlap locations may be used independently of each other or in combination.
    Type: Grant
    Filed: July 30, 2013
    Date of Patent: November 15, 2016
    Assignee: Siemens Product Lifecycle Management Software Inc.
    Inventors: Dijia Wu, Neil Birkbeck, Michal Sofka, Meizhu Liu, Shaohua Kevin Zhou
  • Publication number: 20160202756
    Abstract: Examples are disclosed herein that are related to gaze tracking via image data. One example provides, on a gaze tracking system comprising an image sensor, a method of determining a gaze direction, the method comprising acquiring image data via the image sensor, detecting in the image data facial features of a human subject, determining an eye rotation center based upon the facial features using a calibrated face model, determining an estimated position of a center of a lens of an eye from the image data, determining an optical axis based upon the eye rotation center and the estimated position of the center of the lens, determining a visual axis by applying an adjustment to the optical axis, determining the gaze direction based upon the visual axis, and providing an output based upon the gaze direction.
    Type: Application
    Filed: January 9, 2015
    Publication date: July 14, 2016
    Inventors: Dijia Wu, Michael J. Conrad, Tim Burrell, Xu Miao, Zicheng Liu, Qin Cai, Zhengyou Zhang
  • Publication number: 20160202757
    Abstract: Examples are disclosed herein that relate to gaze tracking. One example provides a computing device including an eye-tracking system including an image sensor, a logic device, and a storage device comprising instructions executable by the logic device to track an eye gaze direction by acquiring an image of the eye via the eye-tracking system, and determining a determined location of a center of a lens of the eye from the image of the eye. The instructions are further executable to adjust the determined location of the center of the lens on a sub-pixel scale by applying a predetermined sub-pixel offset to the determined location of the center of the lens to produce an adjusted location of the center of the lens, to determine a gaze direction from the adjusted location of the center of the lens, and perform an action on a computing device based on the gaze direction.
    Type: Application
    Filed: January 9, 2015
    Publication date: July 14, 2016
    Inventors: Xu Miao, Michael J. Conrad, Dijia Wu
  • Publication number: 20160196465
    Abstract: Examples are disclosed herein that relate to eye tracking based on two-dimensional image data. One example provides, on a computing device, a method of tracking an eye. The method includes receiving image data from an image sensor, detecting a face of the user in the image data, locating the eye in a region of the face in the image data to obtain an eye image, normalizing one or more of a scale and an illumination of the eye image, fitting an ellipse to an iris of the eye in the eye image, and outputting a determination of an eye gaze direction based upon the ellipse fitted.
    Type: Application
    Filed: January 7, 2015
    Publication date: July 7, 2016
    Inventors: Dijia Wu, Michael J. Conrad, Chun-Te Chu, Geoffrey John Hulten
  • Publication number: 20160140406
    Abstract: Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving a plurality of different data streams captured by a respective plurality of sensors of differing sensor types sensing a candidate face. In a cascading plurality of stages, one or more of the different data streams are analyzed, wherein each of the stages comprises a different analysis. In one of the cascading plurality of stages, the method determines that one or more of the different data streams corresponds to a false representation of the human face. Based on determining that one or more of the different data streams corresponds to a false representation of a human face, an indication of the false representation is outputted.
    Type: Application
    Filed: January 27, 2016
    Publication date: May 19, 2016
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chun-Te Chu, Michael J. Conrad, Dijia Wu, Jinyu Li
  • Patent number: 9317926
    Abstract: A method and apparatus for automatic spinal canal segmentation in medical image data, such as computed tomography (CT) image data, is disclosed. An initial set of spinal canal voxels is detected in the 3D medical image using a trained classifier. A spinal canal topology defined by a current set of spinal canal voxels is refined based on an estimated medial line of the spinal canal. Seed points are sampled based on the refined spinal canal topology. An updated set of spinal canal voxels is detected in the 3D medical image using random walks segmentation based on the sampled seed points. The spinal canal topology refinement, seed points sampling, and random walks segmentation are repeated in order to provide cascaded random walks segmentation to generate a final spinal canal segmentation result.
    Type: Grant
    Filed: February 28, 2014
    Date of Patent: April 19, 2016
    Assignee: Siemens Aktiengesellschaft
    Inventors: Qian Wang, Le Lu, Dijia Wu, Shaohua Kevin Zhou