Aurora Medical GroupAurora Baycare Medical Center 2845 Greenbrier Rd, Green Bay, WI 54311 (920)2888000 (phone), (920)2885510 (fax)
Bay Care Clinic Physical Medicine 2845 Greenbrier Rd STE 340, Green Bay, WI 54311 (920)2888377 (phone), (920)2888385 (fax)
Education:
Medical School The Fourth Military Med Univ, Xian City, Shaanxi, China Graduated: 1984
Procedures:
Physical Medicine and Rehabilitation, Tests and Measurements Physical Therapy Physical Therapy Evaluation Arthrocentesis Neurological Testing
Conditions:
Cholelethiasis or Cholecystitis Gastrointestinal Hemorrhage Inguinal Hernia Malignant Neoplasm of Esophagus Varicose Veins
Languages:
Chinese English French Spanish
Description:
Dr. Chen graduated from the The Fourth Military Med Univ, Xian City, Shaanxi, China in 1984. He works in Green Bay, WI and 1 other location and specializes in Physical Medicine & Rehabilitation. Dr. Chen is affiliated with Aurora Baycare Medical Center.
Dr. Chen graduated from the Peking Union Med Coll, Beijing, Beijing, China in 1993. She works in Rego Park, NY and specializes in Pediatrics. Dr. Chen is affiliated with Flushing Hospital Medical Center and Jamaica Hospital Medical Center.
Name / Title
Company / Classification
Phones & Addresses
Xin Chen Principal
Microcera LLC Business Services at Non-Commercial Site
A ceramic composite body comprising sintered silicon carbide as major phase, dispersed boron nitride/carbon granules as minor phase, and the boron nitride/carbon granules comprise hexagonal phase boron nitride powders bonded together by glassy carbon. The composite body contains at least 3 weight percent of boron nitride, the average size of the boron nitride granules is greater than 10 micrometers, and the shape of majority of the granules is irregular. The composite body of high boron nitride loading can be further processed to improve mechanical and thermal properties by filling the porosity with glassy carbon, obtained from carbonizing glassy carbon precursor. The composite material exhibits superior thermal and tribological characteristics than monolithic silicon carbide.
System And Method For Revealing Occluded Objects In An Image Dataset
Xin Chen - Evanston IL, US William Gale - Oak Park IL, US
Assignee:
NAVTEQ North America, LLC - Chicago IL
International Classification:
G06K 9/36 G06K 9/00 G06T 15/40 G06G 5/13
US Classification:
382284, 382154, 382103, 345629, 345421
Abstract:
Disclosed are a system and method for identifying objects in an image dataset that occlude other objects and for transforming the image dataset to reveal the occluded objects. In some cases, occluding objects are identified by processing the image dataset to determine the relative positions of visual objects. Occluded objects are then revealed by removing the occluding objects from the image dataset or by otherwise de-emphasizing the occluding objects so that the occluded objects are seen behind it. A visual object may be removed simply because it occludes another object, because of privacy concerns, or because it is transient. When an object is removed or de-emphasized, the objects that were behind it may need to be “cleaned up” so that they show up well. To do this, information from multiple images can be processed using interpolation techniques. The image dataset can be further transformed by adding objects to the images.
Determining Travel Path Features Based On Retroreflectivity
Matei Nicolai Stroila - Chicago IL, US Xin Chen - Evanston IL, US Mahsa Kamali Moghaddam - Champaign IL, US Victor Lu - Urbana IL, US Bradley Dean Kohlmeyer - Lisle IL, US
International Classification:
G06F 19/00 G01S 1/00 G01C 3/06
US Classification:
702 5, 34235706, 356 401
Abstract:
Systems, devices, features, and methods for determining geographic features corresponding to a travel path to develop a map database, such as a navigation database, are disclosed. For example, one method comprises emitting light from a light source, such as a LIDAR device, while on the travel path. Returning light is received based on the emitted light. The returning light is used to generate data points representing an area about the travel path. The data points are filtered as a function of a return intensity value to identify a feature associated with the travel path, in which the feature is treated with a retroreflective substance.
Determining Geographic Position Information From A Single Image
Xin Chen - Evanston IL, US Xiangheng Yang - Glenview IL, US Roger B. Hui - Northbrook IL, US Narayanan Alwar - South Barrington IL, US
International Classification:
H04N 7/18
US Classification:
348116, 348E07085
Abstract:
Systems, devices, features, and methods for determining geographic position information from an image are disclosed. For example, one method for determining the geographic position information is used to develop a navigation database. The method comprises capturing a plurality of images of geographic features by a camera mounted on a vehicle or a pedestrian. A single image from the plurality of images is identified or selected. A real-world ground distance between a reference ground point in the single image and a ground point corresponding to an object in the single image is determined based on determined calibration values corresponding to the camera. Real-world geographic position information, such as a latitude coordinate and a longitude coordinate, of the ground point corresponding to the object in the single image is determined based on the determined real-world ground distance.
Determining A Geometric Parameter From A Single Image
Xin Chen - Evanston IL, US Roger B. Hui - Northbrook IL, US Narayanan Alwar - South Barrington IL, US
International Classification:
H04N 7/18
US Classification:
348118, 348E07085
Abstract:
Systems, devices, features, and methods for determining a geometric parameter from an image are disclosed. For example, one method for determining the geometric parameter is used to develop a navigation database. The method comprises determining calibration values corresponding to a camera mounted on a vehicle or a pedestrian. A plurality of images of geographic features are captured by the camera. A single image from the plurality of images is identified or selected. A geometric parameter of a region in the single image is determined based on the determined calibration values. For example, the geometric parameter is a real-world distance, such as a real-world length or width.
Detecting Common Geographic Features In Images Based On Invariant Components
Systems, devices, features, and methods for detecting common geographic features in images, such as, for example, to develop a navigation database are disclosed. For example, a method of detecting a common text pattern, such as for a road or path sign, from collected images includes collecting a plurality of images of geographic areas along a road or path. An image of the plurality of images is selected. Components that correspond to an object about the road or path in the selected image are determined. In one embodiment, the determined components are independent or invariant to scale of the object. The determined components are compared to reference components in a data library. If the determined components substantially match the reference components, the object in the selected image is identified to be a common pattern, such as for a standard road or path sign, corresponding to the reference components in the data library.
Detecting Geographic Features In Images Based On Invariant Components
Systems, devices, features, and methods for detecting geographic features in images, such as, for example, to develop a navigation database are disclosed. For example, a method of detecting text from collected images includes collecting a plurality of images of geographic areas along a road or path. An image of the plurality of images is selected. Components that represent a feature about the road or path in the selected image are determined. In one embodiment, the components are independent or invariant to scale of the feature. The determined components are compared to reference components in a data library. If the determined components substantially match with the reference components, the feature in the selected image is identified to be a text character (e.g., of a road sign) corresponding to at least some of the reference components in the data library.
Detecting Ground Geographic Features In Images Based On Invariant Components
Xin Chen - Evanston IL, US Xiangheng Yang - Glenview IL, US
International Classification:
G06K 9/00 G06F 17/30
US Classification:
382103, 707802, 707803, 707715
Abstract:
Systems, devices, features, and methods for detecting geographic features in images, such as, for example, to develop a navigation database are disclosed. For example, a method of detecting a path marking from collected images includes collecting a plurality of images of geographic areas along a path. An image of the plurality of images is selected. Components that represent an object on the path in the selected image are determined. In one embodiment, the determined components are independent or invariant to scale of the object. The determined components are compared to reference components in a data library. If the determined components substantially meet a matching threshold with the reference components, the object in the selected image is identified to be a path marking corresponding to the reference components in the data library.
May 2013 to Aug 2013 Summer Engineering Design InternUIUC
Jan 2013 to May 2013 Senior DesignUIUC
2012 to Feb 2013 ResearcherUIUC
Nov 2012 to Dec 2012 Controller DesignSTLCC
Jan 2009 to Dec 2010 Active member
Education:
University of Illinois at Urbana Urbana-Champaign, IL 2013 to 2015 M.S. in Mechanical EngineeringUniversity of Illinois at Urbana Urbana-Champaign, IL May 2013 B. S. in Mechanical Engineering
Skills:
FEA, CAD design, ProE, Ansys, Matlab, C, Microsoft Office Program
2015 to 2000 Guest Editor, Special Issue on Computational Transportation ScienceAdjunct Assistant Professor Sep 2012 to 2000Adjunct Professor and Ph.D. Advisor Aug 2010 to 2000HERE, a NOKIA
Jun 2006 to 2000 Senior Research Scientist, Engineering Manager, University Cooperation AmbassadorACM SIGSPATIAL GIS Cup
2014 to 2015 Contest ChairInternational Workshop on Computational Transportation Science
2014 to 2014 Workshop ChairACM SIGSPATIAL GIS Cup
2014 to 2014 Local Chair, IEEE International ConferenceSeminar at Robotics group London 2014 to 2014Junzhou Huang Arlington, TX 2014 to 2014Junzhou Huang Arlington, TX 2014 to 2014 per deliverable from Nokia and lead a research collaborationJunzhou Huang
2014 to 2014Junzhou Huang
2014 to 2014NIST Forensic Science Center of Excellence Program
2014 to 2014Heterogeneous Sensors
2014 to 2014wide top awards for Hack Week competition
2013 to 2014IPRO
2013 to 2013 IPRO course developmentACM SIGSPATIAL International Conference on Advances in GIS
2012 to 2013 Publicity ChairHERE, a NOKIA
2012 to 2012 Corporate Relations Chair, IEEE International Conference on Computer Vision and Pattern RecognitionNorthern Illinois University
2012 to 2012Argonne National Lab
2012 to 2012Northwestern University
2012 to 2012IPRO
2012 to 2012 IPRO course developmentACM SIGSPATIAL International Conference on Advances in GIS
2011 to 2011 Local Chair3D Imaging Modeling Processing Visualization and Transmission
2011 to 2011 Publicity ChairIllinois Institute of Technology
2011 to 2011California at Los Angeles Los Angeles, CA 2011 to 2011Notre Dame
2011 to 2011HERE, a NOKIA
2010 to 2011ACM Multimedia
2010 to 2010 Technical Program ChairACM SIGMM International Conference on Multimedia Information
2010 to 2010 Industrial & Demo Program ChairSeminar at Information Sciences and Technology College
2010 to 2010Talk at Midwest University Industry Summit, Purdue University
2010 to 2010Purdue University
2010 to 2010Seminar at Computational Transportation Science Program, University of Illinois Chicago, IL 2010 to 2010California at Los Angeles Los Angeles, CA 2010 to 2010Dynasty Group, Inc
2010 to 2010U. of Notre Dame
2010 to 2010University of Notre Dame
2009 to 2009Seminar at Robotics Institute
2009 to 2009Columbia University
2009 to 2009University of Wisconsin Madison, WI 2009 to 2009Seminar at Beckman Institute Urbana, IL 2009 to 2009Engineering and Applied Science, Northwestern University
2009 to 2009Indiana University Purdue University
2009 to 2009U. of Notre Dame
2009 to 2009Notre Dame
2008 to 2008University of Notre Dame Notre Dame, IN Aug 2001 to Jun 2006 Research AssistantEquinox Corporation Baltimore, MD May 2005 to Sep 2005 Research Intern
Education:
University of Notre Dame Notre Dame, IN May 2006 Ph.D. in Computer Science and EngineeringUniversity of Science and Technology of China May 2003 M.S. in Computer Science and Engineering
Brown Kortkamp Realty St. Louis, MO Mar 2012 to Jun 2013 AccountantBig Think, Inc
Jan 2011 to Oct 2011 Marketing/Accounting Assistant
Education:
University of Illinois at Urbana Champaign Champaign, IL 2013 to 2014 Master of Science in AccountancyUniversity of Missouri St. Louis, MO Jan 2010 to Jan 2012 Bachelor of Science in Accounting
Skills:
Computer: Proficient in Microsoft Word, Excel, PowerPoint; Familiar with Peachtree, QuickBooks; Language: Fluent in English, Mandarin and Shanghainese; reading knowledge of Japanese
The next step is to investigate whether it is possible to develop a drug delivery system based on graphene oxide for Alzheimers disease, says Xin Chen. We also want to test whether graphene oxide has beneficial effects in additional models of neurodegenerative diseases, such as Parkinsons diseaReference: Graphene Oxide Attenuates Toxicity of Amyloid- Aggregates in Yeast by Promoting Disassembly and Boosting Cellular Stress Response by Xin Chen, Santosh Pandit, Lei Shi, Vaishnavi Ravikumar, Julie Bonne Khler, Ema Svetlicic, Zhejian Cao, Abhroop Garg, Dina Petranovic and Ivan Mijakovic,
Date: Oct 04, 2023
Category: Health
Source: Google
Cells Get a Makeover, Cancer Follows: A Path to New Therapies or Warning to ...
In this case, two young scientists, Holger Willenbring and Xin Chen, were trying to study a deadly, and fairly common, form of liver cancer called hepatocellular carcinoma. Chen and her group hoped to induce the cancer by activating oncogenes, genes that trigger cancer, in a group of liver cells cal
Although the components have each been reported before, "It is probably one of the first and best demonstrations of a combination of nanotechology, hydrogen-fuel technology and soft robotics," said Xin Chen of Boston University who was not a part of the study.
Columbia University - Computer Science, Zhejiang University - Information Science and Engineering
Xin Chen
Work:
Terminator skynet - Eliminator (2090-3015) Skynet
Education:
Sint-montfortcollege
Tagline:
I'm the chinese eliminator
Xin Chen
Work:
TrendSource - Marketing Associate (2011)
Education:
San Diego State University - Marketing, Grossmont College - Business Administration
Tagline:
Dream Flighter!
Xin Chen
Education:
Duke University - Master of Economics, Miami University - Business Economics
About:
Disciple of Love and Beauty.Defender of Rationality and Humanity.
Xin Chen
Work:
COMODO - QA Engineer (2009)
Education:
Beijing Jiaotong University - Electromagnetic Compatibility, Beijing Jiaotong University - Optics
Xin Chen
Education:
Pennsylvania State University - CSE, Nanjing University - CS, None
Xin Chen
Education:
Purdue University
About:
I am currently a PhD student in the School of Engineering Education at Purdue University. I have a BS in Electrical Engineering. My research focuses on Social Media Analytics in the context of enginee...
Bragging Rights:
I like cooking and beautiful food; I think friends are very important in life.