John

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John Bogovic Ph.D.

Postdoc
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 completed a Ph.D in Electrical Engineering as a member of the Image Analysis and Communications Laboratory in February 2013. My research interests include image segmentation, level set methods, machine learning, diffusion tensor imaging, statistical label fusion, manual delineation, and anatomical studies of the cerebellum focusing on shape variation.

Software

Developer
  • MGDM - Multiple-object Geometric Deformable Model
  • 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