Hui Fang Wu Hu, 70Kent, WA

RE42952, Nov 22, 2011

Sep 16, 2005

11/229452

Hui Hu - Seattle WA, US
Jun Zhang - Shorewood WI, US

Vital Images, Inc. - Minnetonka MN

G06K 9/00
G09B 23/28

382128, 434262

A teleradiology system provides the capability of rendering and studying of a remotely located volume data without requiring transmission of the entire data to the user's local computer. The system comprises: receiving station () under the control of a user (); transmitting station (); the connecting network (); the user interface () with functionality of controlling volume data rendering, transmission, and display; and the interface with patient data source (). The teleradiology system of the invention provides an integrated functionality of data transmission of current teleradiology systems and volume data rendering/visualization of current volume data rendering/visualization systems. The system may be readily used with an intranet, the internet (including the internet) or via a direct dial-up using a telephone line with a modem, and can serve as an enterprise-wide PACS and may be readily integrated with other PACS and image distribution systems. Software of this system can be centrally installed and managed and can be provided to the user's local computer on an as-needed basis. Furthermore, the software for the user's computer is developed to use with standard web browser.

RE44336, Jul 2, 2013

Nov 21, 2011

13/301600

Hui Hu - Seattle WA, US
Jun Zhang - Shorewood WI, US

Vital Images, Inc. - Minnetonka MN

G06K 9/00
G09B 23/28

382128, 434262

A teleradiology system provides the capability of rendering and studying of a remotely located volume data without requiring transmission of the entire data to the user's local computer. The system comprises: receiving station () under the control of a user (); transmitting station (); the connecting network (); the user interface () with functionality of controlling volume data rendering, transmission, and display; and the interface with patient data source (). The teleradiology system of the invention provides an integrated functionality of data transmission of current teleradiology systems and volume data rendering/visualization of current volume data rendering/visualization systems. The system may be readily used with an intranet, the internet (including the internet) or via a direct dial-up using a telephone line with a modem, and can serve as an enterprise-wide PACS and may be readily integrated with other PACS and image distribution systems. Software of this system can be centrally installed and managed and can be provided to the user's local computer on an as-needed basis. Furthermore, the software for the user's computer is developed to use with standard web browser.

2011024, Oct 6, 2011

Apr 2, 2010

12/753502

William S. Kerwin - Seattle WA, US
Hui Hu - Seattle WA, US
Dongxiang Xu - Seattle WA, US
Michael George Hartmann - Topsfield MA, US

A61B 5/05
G06K 9/62

600407, 382128

A method and system for in-vivo characterization of lesion feature is disclosed. Using a non-invasive medical imaging apparatus, an image of an interior region of a patient's body is obtained. The interior region may include lesion feature (such as plaques) components from a list of components. The lesion feature components are identified by classifying each point in the image as either corresponding to one of the lesion feature components in the list of components or not, using image intensity information and image morphology information, a first relationship (such as an intensity score) correlating image intensity information with the components in the list of components and a second relationship (such as a morphology score) correlating image morphology information with the components in the list of components. Further, a variety of lesion feature characteristics is derived from the result of the classification.

2012028, Nov 15, 2012

Dec 21, 2010

13/517960

Miao Zhang - Beijing, CN
Hui Hu - Seattle WA, US

A61B 1/06
A61B 8/13
A61B 6/00

600443, 600407, 600476

Method and systems for improving resolution of imaging systems, such as a microscope or a medical ultrasonic scanner, are provided. The resolution of the microscope is improved by reducing direct illumination of unrelated regions of an object under examination. According to an aspect of the present invention, a method is provided to reduce the direct illumination of the unrelated regions in a detectable region such as a cone of light that otherwise could generate substantial noises. In another aspect of the invention, a method is provided that focuses the illumination beams such that the width of the projected beam spot is narrowed, preventing the generation of a large amount of noise. In particular, the width of the illumination beam is narrowed such that the size of the projected illumination beam is smaller than the field of view of the microscope. In another aspect of the invention, a system according to the principles of the present invention is provided, wherein the illumination beam of light is such arranged that the overlap of the path of the illumination beam of light and the detectable region is reduced.

2021037, Dec 2, 2021

Jun 17, 2021

17/350917

- Kansas City MO, US
Hui Peng Hu - Oakland CA, US

G06F 40/30
G06N 3/08
G06F 40/263

A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a “learning-to-learn” fashion such that the models know how to evaluate few-shots that belong to the same language. The term “language” in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). “Language” refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language.

2021004, Feb 18, 2021

Aug 2, 2019

16/530778

- Oakland CA, US
Yoriyasu Yano - Oakland CA, US
Hui Peng Hu - Berkeley CA, US
Kuang Chen - Oakland CA, US

G06K 9/46
G06F 16/583
G06K 9/00

Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.

2020036, Nov 19, 2020

May 15, 2019

16/413159

- Oakland CA, US
Hui Peng Hu - Berkeley CA, US

G06F 17/27
G06N 3/08

A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a “learning-to-learn” fashion such that the models know how to evaluate few-shots that belong to the same language. The term “language” in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). “Language” refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language.

2019022, Jul 18, 2019

Jan 16, 2019

16/249561

- Oakland CA, US
Hui Peng Hu - Berkeley CA, US

G06F 17/24
G06F 3/0481
G06F 16/583

Methods, apparatuses, and embodiments related to interactively predicting fields in a form. A computer system received an image of a form. A user moves a cursor to a first field of the form, and the computer system automatically displays a predicted location of the field, including a bounding box that represents a boundary of the field. The computer system further predicts the field name/label based on text in the document. The user clicks on the field to indicate that he wants to digitize the field. When needed, the user interactively modifies the size of the bounding box that represents the extent of the field, changes the name/label of the field. Once finalized, the user can cause the field information (e.g., the bounding box coordinate, the bounding box location, the name/label of the field, etc.) to be written to a database.