John A. Bogovic, Ph.D.

Affiliations: 
2013 Electrical and Computer Engineering Johns Hopkins University, Baltimore, MD 
Area:
Electronics and Electrical Engineering, Applied Mathematics, Biomedical Engineering, Radiology
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"John Bogovic"

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Jerry L. Prince grad student 2013 Johns Hopkins
 (Automatic cerebellar lobule segmentation from magnetic resonance images.)
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Publications

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Scheffer LK, Xu CS, Januszewski M, et al. (2020) A connectome and analysis of the adult central brain. Elife. 9
Gao R, Asano SM, Upadhyayula S, et al. (2019) Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution. Science (New York, N.Y.). 363
Fan X, Bazin PL, Bogovic J, et al. (2019) A Multiple Geometric Deformable Model Framework for Homeomorphic 3D Medical Image Segmentation. Conference On Computer Vision and Pattern Recognition Workshops. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. Workshops. 2008: 1-7
Zheng Z, Lauritzen JS, Perlman E, et al. (2018) A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster. Cell
Hanslovsky P, Bogovic JA, Saalfeld S. (2017) Image-based correction of continuous and discontinuous non-planar axial distortion in serial section microscopy. Bioinformatics (Oxford, England). 33: 1379-1386
Yang Z, Ye C, Bogovic JA, et al. (2015) Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. Neuroimage
Bogovic JA, Bazin PL, Ying SH, et al. (2013) Automated segmentation of the cerebellar lobules using boundary specific classification and evolution. Information Processing in Medical Imaging : Proceedings of the ... Conference. 23: 62-73
Ye C, Bogovic JA, Ying SH, et al. (2013) SEGMENTATION OF THE COMPLETE SUPERIOR CEREBELLAR PEDUNCLES USING A MULTI-OBJECT GEOMETRIC DEFORMABLE MODEL. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2013: 49-52
Yang Z, Bogovic JA, Carass A, et al. (2013) Automatic Cell Segmentation in Fluorescence Images of Confluent Cell Monolayers Using Multi-object Geometric Deformable Model. Proceedings of Spie--the International Society For Optical Engineering. 8669
Ye C, Bogovic JA, Ying SH, et al. (2013) Parcellation of the Thalamus Using Diffusion Tensor Images and a Multi-object Geometric Deformable Model. Proceedings of Spie--the International Society For Optical Engineering. 8669
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