Difference between revisions of "John"

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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.
 
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.
 
*[[JohnCV|Curriculum Vitae]]
 
*[[JohnCV|Curriculum Vitae]]
 +
*[http://www.linkedin.com/pub/john-bogovic/54/95a/980 my LinkedIn page]
 
*[[JohnResearch|Research]]
 
*[[JohnResearch|Research]]
  

Revision as of 11:33, 12 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