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Kegang Hua Phones & Addresses

  • New Market, MD
  • Baltimore, MD
  • 700 Woodland Ave, Lexington, KY 40508
  • 444 Ashland Ave, Lexington, KY 40502
  • Owings Mills, MD

Work

Company: Johns hopkins university Oct 2003 Position: Researcher

Education

Degree: PH.D School / High School: The Johns Hopkins University Specialities: Electrical and Computer Engineering

Skills

Matlab • Image Processing • Neuroscience • R • Machine Learning • Statistics • Signal Processing • Image Analysis • Data Analysis • Python • C++ • Vtk • Biomedical Engineering • Medical Imaging • Research

Languages

Mandarin • English

Industries

Research

Resumes

Resumes

Kegang Hua Photo 1

Researcher At Johns Hopkins School Of Medicine

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Location:
319 Ringold Valley Cir, Cockeysville, MD 21030
Industry:
Research
Work:
Johns Hopkins University since Oct 2003
Researcher

Areaspec Inc Apr 2003 - Jul 2003
Software development

Johns Hopkins Hospital Jul 2002 - Mar 2003
Trainee

University of Kentucky Aug 1999 - Jun 2002
Research Assistant
Education:
The Johns Hopkins University
PH.D, Electrical and Computer Engineering
University of Kentucky
MS, Biomedical Engineering & Computer Science
Skills:
Matlab
Image Processing
Neuroscience
R
Machine Learning
Statistics
Signal Processing
Image Analysis
Data Analysis
Python
C++
Vtk
Biomedical Engineering
Medical Imaging
Research
Languages:
Mandarin
English

Publications

Us Patents

Automated Fiber Tracking Of Human Brain White Matter Using Diffusion Tensor Imaging

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US Patent:
20100244834, Sep 30, 2010
Filed:
Jan 5, 2009
Appl. No.:
12/743169
Inventors:
Susumu Mori - Ellicott City MD, US
Jiangyang Zhang - Baltimore MD, US
Kegang Hua - Baltimore MD, US
Assignee:
THE JOHNS HOPKINS UNIVERSITY - Baltimore MD
International Classification:
G01R 33/44
US Classification:
324310, 324318
Abstract:
A magnetic resonance imaging (MRI) system, comprising: a MRI scanner; a signal processing system in communication with the magnetic resonance imaging scanner to receive magnetic resonance (MR) signals for forming magnetic resonance images of a subject under observations; a data storage unit in communication with the signal processing system, wherein the data storage unit contains database data corresponding to a soft tissue region of the subject under observation. The database data includes information identifying at least one soft tissue substructure encompassed by the soft tissue region of the subject under observation. The signal processing system is adapted to process MR signals received from the MRI scanner to automatically identify at least one soft tissue substructure encompassed by the soft tissue region of the subject under observation.
Kegang Hua from New Market, MD, age ~49 Get Report