Wen C Liu

Address:

15155 Richmond Ave APT 425, Houston, TX 77082

Phone:

7133054243

VIN:

5TDZK3EH8CS065214

Make:

TOYOTA

Model:

HIGHLANDER

Year:

2012

US Patent:

42050685, May 27, 1980

Filed:

May 18, 1978

Appl. No.:

5/906906

Inventors:

Richard B. Sykes - Rocky Hill NJ
J. Scott Wells - Ringoes NJ
Pacifico A. Principe - South River NJ
Wen C. Liu - Princeton Junction NJ

Assignee:

E. R. Squibb & Sons, Inc. - Princeton NJ

International Classification:

A61K 3764

US Classification:

424117

Abstract:

A substance which inhibits the enzyme. beta. -lactamase, produced by a wide range of microorganisms, is obtained when species of the microorganism Micromonospora are cultivated under aerobic fermentation conditions and this inhibitor can be isolated from the fermentation medium by extraction. This substance, denominated EM4615, is useful to enhance the effectiveness of. beta. -lactam antibiotics such as penicillins and cephalosporins.

US Patent:

20200242405, Jul 30, 2020

Filed:

Mar 25, 2020

Appl. No.:

16/829368

Inventors:

- Erlangen, DE
Yefeng Zheng - Princeton Junction NJ, US
Dominik Neumann - Erlangen, DE
Tommaso Mansi - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Wen Liu - San Jose CA, US
Shaohua Kevin Zhou - Princeton NJ, US

International Classification:

G06K 9/62
A61B 8/00
A61B 5/00
A61B 5/055
A61B 8/08
G06T 7/70
G06K 9/20
G06K 9/66
G06T 7/00
G06N 3/08
G06N 7/00
G06N 3/00
G16H 30/40
G16H 50/70
G06T 7/73
A61B 6/03
G16H 50/20
G06K 9/46
A61B 6/00

Abstract:

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

US Patent:

20180005083, Jan 4, 2018

Filed:

Aug 29, 2017

Appl. No.:

15/689411

Inventors:

- Erlangen, DE
Florin Cristian Ghesu - Erlangen, DE
Yefeng Zheng - Princeton Junction NJ, US
Dominik Neumann - Erlangen, DE
Tommaso Mansi - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Wen Liu - San Jose CA, US
Shaohua Kevin Zhou - Plainsboro NJ, US

International Classification:

G06K 9/62
A61B 5/055
A61B 8/08
A61B 8/00
G06N 3/08
G06K 9/66
G06T 7/70
G06K 9/20
A61B 5/00
G06T 7/00
G06F 19/00

Abstract:

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

US Patent:

20170273665, Sep 28, 2017

Filed:

Dec 7, 2016

Appl. No.:

15/372244

Inventors:

- Malvern PA, US
Wen P. Liu - Plainsboro NJ, US
Rui Liao - West Windsor Township NJ, US
John Klepper - Seattle WA, US

International Classification:

A61B 8/00
A61B 90/00
A61B 8/08
A61B 8/12
A61B 6/12
A61B 6/00
A61B 1/313

Abstract:

Pose of an ultrasound transducer is recovered. In one approach, inertial measurement units are positioned on the ultrasound transducer. The measurements from the inertial measurement units are used with pose or measurements from another position sensor (e.g., x-ray, electromagnetic, or optical) to improve accuracy and/or provide pose information at a greater rate. In another approach, a curve, line, or other connected shape of light emitting diodes are incorporated into the transducer. Optical tracking, with a filter specific to the light emitting diodes, using the connected shape pattern is used to determine the pose.

US Patent:

20170116497, Apr 27, 2017

Filed:

Jan 3, 2017

Appl. No.:

15/397638

Inventors:

- Erlangen, DE
Florin Cristian Ghesu - Erlangen, DE
Yefeng Zheng - Princeton Junction NJ, US
Dominik Neumann - Erlangen, DE
Tommaso Mansi - Princeton NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Wen Liu - Plainsboro NJ, US
Shaohua Kevin Zhou - Plainsboro NJ, US

International Classification:

G06K 9/62
G06T 7/00
G06K 9/20
A61B 8/00
G06T 7/70
A61B 8/08
A61B 5/055
A61B 5/00
G06N 3/08
G06K 9/66

Abstract:

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

US Patent:

20170103532, Apr 13, 2017

Filed:

Dec 21, 2016

Appl. No.:

15/386856

Inventors:

- Erlangen, DE
Bogdan Georgescu - Plainsboro NJ, US
Dominik Neumann - Erlangen, DE
Tommaso Mansi - Plainsboro NJ, US
Dorin Comaniciu - Princeton Junction NJ, US
Wen Liu - Plainsboro NJ, US
Shaohua Kevin Zhou - Plainsboro NJ, US

International Classification:

G06T 7/00
G06T 7/70
A61B 6/03
G06K 9/66
A61B 5/00
A61B 5/055
G06K 9/62
G06T 7/11

Abstract:

Intelligent image parsing for anatomical landmarks and/or organs detection and/or segmentation is provided. A state space of an artificial agent is specified for discrete portions of a test image. A set of actions is determined, each specifying a possible change in a parametric space with respect to the test image. A reward system is established based on applying each action of the set of actions and based on at least one target state. The artificial agent learns an optimal action-value function approximator specifying the behavior of the artificial agent to maximize a cumulative future reward value of the reward system. The behavior of the artificial agent is a sequence of actions moving the agent towards at least one target state. The learned artificial agent is applied on a test image to automatically parse image content.