Chun M Wong

US Patent:

7571319, Aug 4, 2009

Filed:

Oct 14, 2004

Appl. No.:

10/965058

Inventors:

Eliot C. Gillum - Los Gatos CA, US
Chun Yu Wong - Sunnyvale CA, US
Ilya Mironov - Mountain View CA, US
Aditya Bansod - San Francisco CA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

H04L 9/00

US Classification:

713168, 713155, 713170, 726 13, 726 23, 726 24, 380229

Abstract:

A system and method for verifying messages. The method may include the steps of receiving an inbound message and characterizing the inbound message by analyzing a latent cryptographic identifier in the inbound message. The identifier is generated by a recognized message system, which may be the receiving system itself, for an outbound message. Characterizing may involve detecting if the latent cryptographic identifier is present and determining if the cryptographic identifier is valid. The step of determining can be performed using symmetric or asymmetric methods of verifying the authenticity of the message.

US Patent:

7730081, Jun 1, 2010

Filed:

Oct 18, 2005

Appl. No.:

11/252899

Inventors:

Kristin D. Bromm - Mountain View CA, US
Denise D. Hui - San Mateo CA, US
Joshua T. Goodman - Redmond WA, US
Omar H. Shahine - San Francisco CA, US
Ethan N. Ray - Redmond WA, US
Matthew S. Carr - Seattle WA, US
Thomas A. Leung - Seattle WA, US
Wende E. Copfer - Bothell WA, US
Aly Valli - Seattle WA, US
Ewa Dominowska - Kirkland WA, US
Ying Li - Bellevue WA, US
Chun Yu Wong - Cupertino CA, US
Paul R. Weber - Seattle WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/30

US Classification:

707769, 707783, 715752, 715747, 715758

Abstract:

While interacting with a messaging interface, keywords or other search criteria are automatically identified and used to perform a search. Search results and sponsored links (or advertisements) are displayed to the user within the messaging interface. To alleviate privacy concerns, this process will not be performed unless the user has explicitly opted-in to the search feature. In another embodiment, the user can highlight keywords in an outbound or inbound message to trigger a search without leaving the messaging interface. In another embodiment, the user can input a search keyword or phrase to trigger a search without leaving the messaging interface.

US Patent:

20060149746, Jul 6, 2006

Filed:

Jan 4, 2005

Appl. No.:

11/028890

Inventors:

Aditya Bansod - San Francisco CA, US
Walter Hsueh - San Jose CA, US
Chun Wong - Sunnyvale CA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/30

US Classification:

707010000

Abstract:

A method and protocol for communication between a first computer and a second computer. The protocol includes a request from the first computer to the second computer including a function identifier for a function on the second computer and an argument for the function. The argument may be defined by a type for a function called by the function identifier. The protocol also includes a reply from the second computer to the first computer including the results of the function, with the reply defined as a script input for the first computer.

US Patent:

20060185019, Aug 17, 2006

Filed:

Feb 11, 2005

Appl. No.:

11/056020

Inventors:

Chun Wong - Los Angeles CA, US

International Classification:

H04N 7/16

US Classification:

726026000

Abstract:

A method and system for observational data collection (ODC), such as field audit and survey data collection, comprises a method, computer system and computer program for inputting into one or more configuration forms first information specifying content and format for an ODC form and one or more authorized users; and publishing at least a portion of the ODC form to one or more of the authorized users. The system and method provide an efficient and accurate alternative to ODC as compared to known approaches.

US Patent:

20210224995, Jul 22, 2021

Filed:

Apr 2, 2021

Appl. No.:

17/221146

Inventors:

- Armonk NY, US
Chun Lok Wong - San Jose CA, US

International Classification:

G06T 7/00
G06K 9/00
G16H 50/20
G06N 20/00
G06N 3/04
G16H 50/70
G06K 9/62
G06N 3/08
G16H 30/40

Abstract:

Disease detection from medical images is provided. In various embodiments, a medical image of a patient is read. The medical image is provided to a trained anatomy segmentation network. A feature map is received from the trained anatomy segmentation network. The feature map indicates the location of at least one feature within the medical image. The feature map is provided to a trained classification network. The trained classification network was pre-trained on a plurality of feature map outputs of the segmentation network. A disease detection is received from the trained classification network. The disease detection indicating the presence or absence of a predetermined disease.

US Patent:

20210106286, Apr 15, 2021

Filed:

Oct 11, 2019

Appl. No.:

16/599824

Inventors:

- Armonk NY, US
Hongzhi Wang - San Jose CA, US
Joy Tzung-yu Wu - San Jose CA, US
Chun Lok Wong - San Jose CA, US

International Classification:

A61B 5/00
G06T 7/10
G06K 9/68
G06N 3/08

Abstract:

A system for automated detection and type classification of central venous catheters. The system includes an electronic processor that is configured to, based on an image, generate a segmentation of a potential central venous catheter using a segmentation method and extract, from the segmentation, one or more image features associated with the potential central venous catheter. The electronic processor is also configured to, based on the one or more image features, determine, using a first classifier, whether the image includes a central venous catheters and determine, using a second classifier, a type of central venous catheter included in the image.

US Patent:

20210073588, Mar 11, 2021

Filed:

Sep 11, 2019

Appl. No.:

16/567566

Inventors:

- Hartland WI, US
Chun Lok Wong - San Jose CA, US

International Classification:

G06K 9/62
G06T 7/11
G06N 3/08
G06N 3/04

Abstract:

Systems and methods generate a segmentation network for image segmentation using global optimization. A method for automatic generation of at least one segmentation network includes providing an initial set of hyperparameters to construct a segmentation network. The hyperparameters define operations for a set of block structures and connections between the block structures. The segmentation network is trained using a first set of images with ground truth. An objective function value for the trained segmentation network is generated using a second set of images having ground truth. The set of hyperparameters is updated by performing a derivative-free optimization algorithm on the objective function value to construct an updated segmentation network. The training of the segmentation network, the generating of the objective function, and the updating of the set of hyperparameters for the updated segmentation network are iterated to generate a network architecture for the segmentation network.

US Patent:

20210074000, Mar 11, 2021

Filed:

Sep 11, 2019

Appl. No.:

16/567573

Inventors:

- Hartland WI, US
Chun Lok Wong - San Jose CA, US

International Classification:

G06T 7/174
G06K 9/62
G06T 7/00
G06T 7/136
G06T 7/162

Abstract:

Systems and methods generate a segmentation network for image segmentation using global optimization. A method for automatic generation of at least one segmentation network includes providing an initial set of hyperparameters to construct a segmentation network. The hyperparameters define operations for a set of block structures and connections between the block structures. The segmentation network is trained using a first set of images with ground truth. An objective function value for the trained segmentation network is generated using a second set of images having ground truth. Generating the objective function includes setting the objective function to a predetermined value responsive to identifying an untrainable condition of the trained initial segmentation network. The set of hyperparameters is updated by performing an optimization algorithm on the objective function value to construct an updated segmentation network. The training of the segmentation network, the generating of the objective function, and the updating of the set of hyperparameters for the updated segmentation network are iterated to generate a network architecture for the segmentation network.