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Xiao Jing Chen

from Bensalem, PA
Age ~36
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Also known as:
Xiao J Chen
Phone and address:
3390 Knights Rd, Bensalem, PA 19020
Related to:
Zengmei Chen, 54Chen R FanJi T Chen, 58Xiang Chen, 38Ji Ping Chen, 66Zhenling ChenHui Chen, 35Liang ChenZhiling HuangSong Z Chen, 60Meng S Chen, 63Sungzhang ChenFei Song, 53Zhong Q Chen, 52Zhixian SongXiu Jin Huang, 60Yong Z Chen, 54
Connected to:
Abre G Chen, 65Adele Chen, 52Adeline K Chen, 39Ai M Chen, 60Ai C Chen, 79Aiping Chen, 63Alen Y Chen, 68Alma Chen, 29Amanda Chen, 44Amanda T Chen, 63

Xiao Chen Phones & Addresses

  • 3390 Knights Rd, Bensalem, PA 19020
  • Cornwells Heights, PA
  • Philadelphia, PA
  • Pittsburgh, PA
  • Grand Island, NY

Professional Records

License Records

Xiao Chen

License #:
32278 - Active
Issued Date:
Aug 5, 2014
Renew Date:
Dec 1, 2015
Expiration Date:
Nov 30, 2017
Type:
Certified Public Accountant

Lawyers & Attorneys

Xiao Chen Photo 1

Xiao di Chen - Lawyer

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Licenses:
New York - Currently registered 2012
Education:
St. John's University Law School
Xiao Chen Photo 2

Xiao Chen - Lawyer

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ISLN:
1000643394
Admitted:
2011

Business Records

Name / Title
Company / Classification
Phones & Addresses
Xiao Chen
CHEN LIU LLC
Xiao Ping Chen
AURIMAX INTERNATIONAL LTD

Publications

Isbn (Books And Publications)

Yu Liao Ku Zai Wai Yu Jiao Yu Zhong De Ying Yong: Li Lun Yu Shi Jian = Application of Corpora to Foreign Language Education Theory and Practice

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Author

Xiao Chen

ISBN #

7536130589

Us Patents

Spiro-Cyclic -Amino Acid Derivatives As Inhibitors Of Matrix Metalloproteases And Tnf- Converting Enzyme (Tace)

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US Patent:
6720329, Apr 13, 2004
Filed:
Mar 12, 2002
Appl. No.:
10/096804
Inventors:
Gregory R. Ott - Media PA
Xiao Tao Chen - Newark DE
Jingwu Duan - Newark DE
Matthew E. Voss - Lincoln University PA
Assignee:
Bristol-Myers Squibb Pharma - Princeton NJ
International Classification:
A61K 31443
US Classification:
514278, 514342, 514339, 514336, 546 15, 546152, 5462681, 5462764, 5462797, 5462817
Abstract:
The present application describes novel spiro-cyclic -amino acid derivatives of formula I: or pharmaceutically acceptable salt forms thereof, wherein ring B is a 3-13 membered carbocycle or heterocycle, ring C forms a 3-11 membered spiro-carbocycle or spiro-heterocycleon ring B, and the other variables are defined in the present specification, which are useful as as matrix metalloproteinases (MMP), TNF- converting enzyme (TACE), and/or aggrecanase inhibitors.

Spiro-Cyclic Β-Amino Acid Derivatives As Inhibitors Of Matrix Metalloproteases And Tnf-Α Converting Enzyme (Tace)

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US Patent:
6962938, Nov 8, 2005
Filed:
Dec 18, 2003
Appl. No.:
10/741326
Inventors:
Gregory R. Ott - Media PA, US
Xiao Tao Chen - Furlong PA, US
Jingwu Duan - Yardley PA, US
Matthew E. Voss - Lincoln University PA, US
Assignee:
Bristol-Myers Squibb Pharma Company - Princeton NJ
International Classification:
A61K031/403
A61K031/38
C07D327/04
C07D207/04
C07D207/18
US Classification:
514409, 514438, 514462, 549 30, 549200, 549300, 549322, 549337, 549341, 548407
Abstract:
The present application describes novel spiro-cyclic β-amino acid derivatives of formula I: or pharmaceutically acceptable salt forms thereof, wherein ring B is a 3-13 membered carbocycle or heterocycle, ring C forms a 3-11 membered spiro-carbocycle or spiro-heterocycleon ring B, and the other variables are defined in the present specification, which are useful as as matrix metalloproteinases (MMP), TNF-α converting enzyme (TACE), and/or aggrecanase inhibitors.

Beta-Arrestin Effectors And Compositions And Methods Of Use Thereof

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US Patent:
20130196902, Aug 1, 2013
Filed:
Jan 31, 2013
Appl. No.:
13/755637
Inventors:
Dennis Yamashita - Wayne PA, US
Xiao Tao Chen - Furlong PA, US
Assignee:
Trevena, Inc. - King of Prussia PA
International Classification:
C07K 7/06
US Classification:
514 37, 530328, 514 217, 514 164
Abstract:
This application describes compounds acting as, for example, β-arrestin effectors and uses thereof, in, for example, the treatment of chronic and acute cardiovascular diseases.

Quinoxalines And Aza-Quinoxalines As Crth2 Receptor Modulators

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US Patent:
20130303517, Nov 14, 2013
Filed:
Dec 19, 2011
Appl. No.:
13/996361
Inventors:
Christopher W. Boyce - Flemington NJ, US
Sylvia Joanna Degrado - Scotch Plains NJ, US
Xiao Chen - Edison NJ, US
Jun Qin - Edison NJ, US
Younong Yu - East Brunswick NJ, US
Kevin D. McCormick - Basking Ridge NJ, US
Anandan Palani - Bridgewater NJ, US
Dong Xiao - Warren NJ, US
Robert George Aslanian - Rockaway NJ, US
Jie Wu - Scotch Plains NJ, US
Ashwin Umesh Rao - Morganville NJ, US
Phieng Siliphaivanh - Newton MA, US
Joey L. Methot - Westwood MA, US
Hongjun Zhang - Newton MA, US
Elizabeth Helen Kelley - Lynnfield MA, US
William Colby Brown - Cleveland Heights OH, US
Qin Jiang - Latham NY, US
Jolicia Polivina Gauuan - Schenectady NY, US
Andrew J. Leyhane - Latham NY, US
Purakkattle Johny Biju - Piscataway NJ, US
Pawan K. Dhondi - Elizabeth NJ, US
Li Dong - Lawrenceville NJ, US
Salem Fevrier - Cranford NJ, US
Xianhai Huang - Warren NJ, US
Henry M. Vaccaro - South Plainfield NJ, US
International Classification:
C07D 241/42
C07D 401/12
C07D 403/06
C07D 471/04
A61K 31/4985
C07D 471/10
C07D 405/12
C07D 401/14
A61K 31/506
A61K 31/55
C07D 417/12
C07D 498/04
C07D 491/107
A61K 45/06
A61K 31/498
US Classification:
51421018, 544353, 514249, 544350, 544230, 51421021, 544295, 540523, 51421207
Abstract:
The invention provides certain quinoxalines and aza-quinoxalines of the Formula (I), and their pharmaceutically acceptable salts, wherein J, J, R, R, R, R, R, R, R, R, X, Y, b, n, and q are as defined herein. The invention also provides pharmaceutical compositions comprising such compounds, and methods of using the compounds for treating diseases or conditions associated with uncontrolled or inappropriate stimulation of CRTHfunction.

K-Space Trajectory Infidelity Correction In Magnetic Resonance Imaging

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US Patent:
20210272335, Sep 2, 2021
Filed:
Mar 2, 2020
Appl. No.:
16/805903
Inventors:
- Erlangen, DE
Xiao Chen - Princeton NJ, US
Mariappan S. Nadar - Plainsboro NJ, US
Boris Mailhe - Plainsboro NJ, US
Simon Arberet - Princeton NJ, US
International Classification:
G06T 11/00
G06T 7/00
G06T 15/08
Abstract:
For k-space trajectory infidelity correction, a model is machine trained to correct k-space measurements in k-space. K-space trajectory infidelity correction uses deep learning. Trajectory infidelity is corrected from a k-space point of view. Since the image artifacts arise from k-space acquisition distortion, a machine learning model is trained to correct in k-space, either changing values of k-space measurements or estimating the trajectory shifts in k-space.

Unsupervised Learning-Based Magnetic Resonance Reconstruction

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US Patent:
20210150783, May 20, 2021
Filed:
Nov 19, 2019
Appl. No.:
16/688170
Inventors:
- Erlangen, DE
Boris Mailhe - Plainsboro NJ, US
Xiao Chen - Princeton NJ, US
Mariappan S. Nadar - Plainsboro NJ, US
International Classification:
G06T 11/00
G06N 3/08
G06N 3/04
G16H 30/40
G06T 7/00
Abstract:
For magnetic resonance imaging reconstruction, using a cost function independent of the ground truth and many samples of k-space measurements, machine learning is used to train a model with unsupervised learning. Due to use of the cost function with the many samples in training, ground truth is not needed. The training results in weights or values for learnable variables, which weights or values are fixed for later application. The machine-learned model is applied to k-space measurements from different patients to output magnetic resonance reconstructions for the different patients. The weights and/or values used are the same for different patients.

Medical Image Segmentation From Raw Data Using A Deep Attention Neural Network

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US Patent:
20200065969, Feb 27, 2020
Filed:
Jul 9, 2019
Appl. No.:
16/506123
Inventors:
- Erlangen, DE
Xiao Chen - Princeton NJ, US
Mariappan S. Nadar - Plainsboro NJ, US
Boris Mailhe - Plainsboro NJ, US
International Classification:
G06T 7/11
G06T 7/00
G06N 3/08
G16H 50/50
G06N 3/04
G06N 20/00
Abstract:
Various approaches provide improved segmentation from raw data. Training samples are generated by medical imaging simulation from digital phantoms. These training samples provide raw measurements, which are used to learn to segment. The segmentation task is the focus, so image reconstruction loss is not used. Instead, an attention network is used to focus the training and trained network on segmentation. Recurrent segmentation from the raw measurements is used to refine the segmented output. These approaches may be used alone or in combination, providing for segmentation from raw measurements with less influence of noise or artifacts resulting from a focus on reconstruction.

Motion Determination For Volumetric Magnetic Resonance Imaging Using A Deep Machine-Learning Model

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US Patent:
20200049785, Feb 13, 2020
Filed:
Oct 17, 2018
Appl. No.:
16/162559
Inventors:
- Erlangen, DE
Xiao Chen - Princeton NJ, US
Silvia Bettina Arroyo Camejo - Nuremberg, DE
Benjamin L. Odry - West New York NJ, US
Mariappan S. Nadar - Plainsboro NJ, US
International Classification:
G01R 33/565
G06T 11/00
G06N 3/08
G06F 15/18
G01R 33/48
Abstract:
For determination of motion artifact in MR imaging, motion of the patient in three dimensions is used with a measurement k-space line order based on one or more actual imaging sequences to generate training data. The MR scan of the ground truth three-dimensional (3D) representation subjected to 3D motion is simulated using the realistic line order. The difference between the resulting reconstructed 3D representation and the ground truth 3D representation is used in machine-based deep learning to train a network to predict motion artifact or level given an input 3D representation from a scan of a patient. The architecture of the network may be defined to deal with anisotropic data from the MR scan.
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Xiao Jing Chen from Bensalem, PA, age ~36 Get Report