At the Armenian Genocide Museum during my stay as visiting teaching faculty for the Masters of Public Health program at the American University of Armenia.


Dworkin, J. D., Sweeney, E. M. , Schindler, M. K., Chahin, S., Reich, D. S., and Shinohara, R. T. (2016). PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident Lesions. NeuroImage: Clinical, 12, 293-299.

Sweeney, E. M. , Crainiceanu, C. M., and Gertheiss, J. (2016) Testing Dierentially Expressed Genes in Dose-Response Studies and with Ordinal Phenotypes. Statistical Applications in Genetics and Molecular Biology.

Fortin, J. P., Sweeney, E. M., Muschelli, J., Crainiceanu, C. M., Shinohara, R. T., and the Alzheimer’s Disease Neuroimaging Initiative. (2016) Removing inter-subject technical variability in magnetic resonance imaging studies. NeuroImage.

Mejia A.F.,  Sweeney E. M., Dewey B. E., Nair G., Sati P., Shea C. D., Reich D. S. and Shinohara R. T.(2016) Statistical estimation of T1 relaxation time using conventional magnetic resonance imaging.  NeuroImage.

George, I. C., Sati, P., Absinta, M., Cortese, I. C.,  Sweeney, E. M., Shea C. D., and Reich, D. S (2016). Clinical 3-tesla FLAIR* MRI improves diagnostic accuracy in multiple sclerosis.  Multiple Sclerosis Journal.  

Sweeney, E. M., Shinohara, R. T., Dewey, B. E., Schindler, M. K., Muschelli, J., Reich, D. S., Crainiceanu, C. M., and Eloyan, A. (2015) Relating multi-sequence longitudinal intensity profiles and clinical covariates in new multiple sclerosis lesions. Neuroimage: Clinical. 

Muschelli, J., Ullman, N.L., Sweeney, E.M. , Eloyan, A., Martin, N., Vespa, P., Awad, I., Hanley, D.F., and Crainiceanu, C.M. (2015). Quantitative Intracerebral Hemorrhage Localization. Stroke

Muschelli, J., Sweeney, E.M., Lindquist M.A. and Crainiceanu, C.M. (2015)  fslr: Connecting the FSL software with R.  The R Journal.

Pomann, G. M., Sweeney, E. M., Reich, D. S., Staicu, A. M., and Shinohara, R. T. (2015). Scan‐stratified case‐control sampling for modeling blood–brain barrier integrity in multiple sclerosis. Statistics in Medicine.

Eloyan, A., Shou, H., Shinohara, R.T., Sweeney, E.M., Nebel, M.B., Cuzzocreo, J.L., Reich, D.S., Lindquist, M.A., and Crainiceanu, C.M. (2014). Health effects of lesion localization in multiple sclerosis: Spatial registration and confounding adjustment.  PLoS ONE.

Shinohara, R.T., Sweeney, E.M., Goldsmith, J., Shiee, N., Mateen, F.J., Calabresi P.A., Jarso, S., Pham, D.L., Reich, D.S., and Crainiceanu, C.M. (2014). Statistical normalization technique for magnetic resonance imaging. Neurouimage Clinical.

Sweeney, E.M.,  Thakur, K.T, Lyons, J.T., Smith, B.R., Wiley, J. Z., Cervantes-Arslanian, A.M., Schwamm, L.H.,  Elkind, M.S.V., Shinohara, R.T., Mateen, F.J.(2014)  IV-TPA for acute ischemic stroke in HIV-infected adults.  European Journal of Neurology.

Muschelli, J., Sweeney, E.M., and Crainiceanu, C.M. (2014)  BrainR: Interactive 3 and 4d images of high resolution neuroimage data.  The R Journal.

Sweeney, E.M., Vogelstein, J.T., Cuzzocreo, J.L., Calabresi P.A., Reich, D.S., Crainiceanu, C.M., and Shinohara, R.T.  (2014) A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI. PLoS ONE 9(4): e95753. doi:10.1371/journal.pone.0095753

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., and Crainiceanu, C.M. (2013) OASIS is Automated Statistical Inference for Segmentation with applications to multiple sclerosis lesion segmentation in MRI.  NeuroImage: Clinical, 2, 402-413.

Sweeney, E.M. , Shinohara, R.T., Shea, C.D., Reich, D.S., and Crainiceanu, C.M. (2013) Automatic lesion incidence estimation and detection using multi-modality longitudinal MRIs. American Journal of Neuroradiology 34(1), 68-73.