Navid Shiee, Ph.D.

Affiliations: 
2012 Johns Hopkins University, Baltimore, MD 
Area:
Electronics and Electrical Engineering
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"Navid Shiee"

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Dzung L. Pham grad student 2012 Johns Hopkins
 (Topology preserving and atlas based segmentation of brains with pathology.)
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Publications

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Shinohara RT, Sweeney EM, Goldsmith J, et al. (2015) Corrigendum to "Statistical normalization techniques for magnetic resonance imaging" [NeuroImage: Clinical 6 (2014) 9-19]. Neuroimage. Clinical. 7: 848
Shinohara RT, Sweeney EM, Goldsmith J, et al. (2014) Statistical normalization techniques for magnetic resonance imaging. Neuroimage. Clinical. 6: 9-19
Shiee N, Bazin PL, Cuzzocreo JL, et al. (2014) Reconstruction of the human cerebral cortex robust to white matter lesions: method and validation. Human Brain Mapping. 35: 3385-401
Li N, Chou YY, Shiee N, et al. (2014) Characterizing the spatial distribution of microhemorrhages resulting from Traumatic Brain Injury (TBI) Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9038
Roy S, Carass A, Shiee N, et al. (2013) LONGITUDINAL INTENSITY NORMALIZATION IN THE PRESENCE OF MULTIPLE SCLEROSIS LESIONS. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 1384-1387
Sweeney EM, Shinohara RT, Shiee N, et al. (2013) OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI. Neuroimage. Clinical. 2: 402-13
Borges IT, Shea CD, Ohayon J, et al. (2013) The effect of daclizumab on brain atrophy in relapsing-remitting multiple sclerosis. Multiple Sclerosis and Related Disorders. 2: 133-140
Saidha S, Sotirchos ES, Oh J, et al. (2013) Relationships between retinal axonal and neuronal measures and global central nervous system pathology in multiple sclerosis. Jama Neurology. 70: 34-43
Landman BA, Bogovic JA, Carass A, et al. (2013) System for integrated neuroimaging analysis and processing of structure. Neuroinformatics. 11: 91-103
Harrison DM, Shiee N, Bazin PL, et al. (2013) Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis. Journal of Neurology. 260: 397-406
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