Difference between revisions of "John"

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*[[JohnCV|Curriculum Vitae]]
 
*[[JohnCV|Curriculum Vitae]]
 
*[[JohnResearch|Research]]
 
*[[JohnResearch|Research]]
*[[JohnTools|Some of my favorite tools]]
 
*[[JohnMatlabTips|Matlab tips]]
 
 
  
 
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* [http://www.nitrc.org/projects/jist/ JIST] - the Java Image Science toolkit
 
* [http://www.nitrc.org/projects/jist/ JIST] - the Java Image Science toolkit
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* [http://www.nitrc.org/projects/masi-fusion MASI Fusion] - Statistical and voting label fusion techniques
 
* [http://www.nitrc.org/projects/masi-fusion MASI Fusion] - Statistical and voting label fusion techniques
  
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{{h4 | Teaching + Tips}}
 
* [[MedImgAnalysis2011|Medical Image Analysis 2011]]
 
* [[MedImgAnalysis2011|Medical Image Analysis 2011]]
 
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*[[JohnTools|Some of my favorite tools]]
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*[[JohnMatlabTips|Matlab tips and notes]]
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**[http://iacl.ece.jhu.edu/w/images/2/24/Mia2011_matlabTut.pdf A very brief MATLAB tutorial for newcomers]
  
 
{{h4 | Research}}
 
{{h4 | Research}}
 
*[[User:John|Research Journal]] (internal use only!)
 
*[[User:John|Research Journal]] (internal use only!)

Revision as of 17:30, 10 July 2012

John Bogovic

Ph.D Candidate
Image Analysis and Communications Laboratory
Department of Electrical Engineering
Johns Hopkins University


Bio

I began my studies in Electrical Engineering at Washington University in St. Louis, where I earned a B.S. in 2006. I continued my studies at the Johns Hopkins University, earning a MEng in 2008. Currently, I am pursuing a Ph.D in Electrical Engineering as a member of the Image Analysis and Communications Laboratory. My research interests include diffusion tensor imaging, statistical label fusion, manual delineation, and anatomical studies of the cerebellum focusing on shape variation.

Software

Developer
  • JIST - the Java Image Science toolkit
  • TOADS-CRUISE - MR brain segmentation and analysis tools
  • CATNAP - Coregistration, Adjustment, and Tensor-solving - a Nicely Automated Program
  • MRCAP - MR Connectome Automated Pipeline (MRCAP)
Supporter
  • DOTS - Diffusion-Oirented Tract Segmentation
  • MASI Fusion - Statistical and voting label fusion techniques

Teaching + Tips

Research