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Russell Takeshi Shinohara,

Russell Takeshi Shinohara

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Assistant Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology
Graduate Group Affiliations

Contact information
Center for Clinical Epidemiology and Biostatistics
Department of Biostatistics and Epidemiology
Perelman School of Medicine
University of Pennsylvania
210 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021
Office: 215-746-1090
Fax: 215-573-1050
Honours BS (Probability & Statistics)
McGill University, 2006.
MSc (Mathematics and Statistics)
McGill University, 2007.
PhD (Biostatistics)
The Johns Hopkins University, 2012.
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Perelman School of Medicine > Faculty > Search

Selected Publications

Shinohara R.T., Sweeney E.M., Goldsmith J., Shie N., Mateen F.J., Calabresi P.A., Jarso S., Pham D.L., Reich D.S., Crainiceanu C.M. : Statistical normalization techniques for magnetic resonance imaging. NeuroImage: Clinical 6: 9-19, August 2014.

Sweeney E.M., Thakur K.T., Lyons J.L., Smith B.R., Willey J.Z., Cervantes-Arslanian A.M., Hickey M.K., Uchino K., Haussen D.C., Koch S., Schwamm L.H., Elkind M.S., Shinohara R.T., Mateen F.J.: Outcomes of intravenous tissue plasminogen activator for acute ischaemic stroke in HIV-infected adults. European Journal of Neurology July 2014.

Satterthwaite T.D.,*Shinohara R.T., Wolf D.H., Hopson R., Elliott M.A., Vandekar S., Ruparel K., Calkins M.E., Roalf D.R., Gennatas E.D., Jackson C., Erus G., Davatzikos C., Detre J.A., Hakonarson H., Gur R.C., Gura R.E.,: Impact of Puberty on the Evolution of Cerebral Perfusion During Adolescence. Proceedings of the National Academy of Sciences 111(23): 2643-8, June 2014.

Berkowitz A.L., Mittal M.K., McLane H.C., Shen G.C., Muralidharan R., Lyons J.L., Shinohara R.T., Shuaib A., Mateen F.J.: Worldwide reported use of IV tissue plasminogen activator for acute ischemic stroke. International Journal of Stroke 9(3): 349-55, April 2014.

Sweeney E.M., Vogelstein J.T., Cuzzocreo J.L., Calabresi P.A., Reich D.S., Crainiceanu C.M., Shinohara R.T.: A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI. PLoS One 29(9), April 2014.

Mateen F.J., Post W.S., Sacktor N., Abraham A.G., Becker J.T., Smith B.R., Detels R., Martin E., Phair J.P., Shinohara R.T; For the Multicenter AIDS Cohort Study (MACS) Investigators: Long-term predictive value of the Framingham Risk Score for Stroke in HIV-positive vs HIV-negative men. Neurology 81(24): 2094-102, December 2013.

Shinohara R.T., Narayan A.K., Hong K., Kim H.S., Coresh J., Streiff M.B., Frangakis C.E.: Estimating parsimonious models of longitudinal causal effects using regressions on propensity scores. Statistics in Medicine 32(22): 3829-37, September 2013.

Sweeney, E.M., Shinohara, R.T., Shiee, N., Mateen, F.J., Chudgar, A.A., Cuzzocreo, J.L., Calabresi, P.A., Pham, D.L., Reich, D.S., Crainiceanu, C.M.: OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI. NeuroImage:Clinical 2: 402-13, March 2013.

Sweeney E.M., Shinohara R.T., Shea C.D., Reich D.S. and Crainiceanu C.M.: Automatic Lesion Incidence Estimation and Detection in Multiple Sclerosis Using Multisequence Longitudinal MRI. American Journal of Neuroradiology 34(1 ): 68-73, January 2013.

Momin E.N., Adams H., Shinohara R.T., Frangakis C.E., Brem H. and Quinones-Hinojasa A.: Post-Operative Mortality after Surgery for Brain Tumors Differs by Insurance Status in United States. Archives of Surgery 147(11): 1017-24, November 2012.

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Last updated: 09/04/2014
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