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2016
Z. Zhang, Telesford, Q. K., Giusti, C., Lim, K. O., and Bassett, D. S., Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction., PLoS One, vol. 11, no. 6, p. e0157243, 2016.
C. Davatzikos, Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning., Med Image Anal, vol. 33, pp. 149-154, 2016.
T. M. Moore, Reise, S. P., Roalf, D. R., Satterthwaite, T. D., Davatzikos, C., Bilker, W. B., Port, A. M., Jackson, C. T., Ruparel, K., Savitt, A. P., Baron, R. B., Gur, R. E., and Gur, R. C., Development of an itemwise efficiency scoring method: Concurrent, convergent, discriminant, and neuroimaging-based predictive validity assessed in a large community sample., Psychol Assess, vol. 28, no. 12, pp. 1529-1542, 2016.
S. Hyung Kim, Lyu, I., Fonov, V. S., Vachet, C., Hazlett, H. C., Smith, R. G., Piven, J., Dager, S. R., Mckinstry, R. C., Pruett, J. R., Evans, A. C., D Collins, L., Botteron, K. N., Schultz, R. T., Gerig, G., and Styner, M. A., Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity., Neuroimage, vol. 135, pp. 163-76, 2016.
J. Doshi, Erus, G., Ou, Y., Resnick, S. M., Gur, R. C., Gur, R. E., Satterthwaite, T. D., Furth, S., and Davatzikos, C., MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection., Neuroimage, vol. 127, pp. 186-195, 2016.
S. Feldt Muldoon, Bridgeford, E. W., and Bassett, D. S., Small-World Propensity and Weighted Brain Networks., Sci Rep, vol. 6, p. 22057, 2016.
2015
E. Caruyer and Verma, R., On facilitating the use of HARDI in population studies by creating rotation-invariant markers., Med Image Anal, vol. 20, no. 1, pp. 87-96, 2015.
N. Honnorat, Eavani, H., Satterthwaite, T. D., Gur, R. E., Gur, R. C., and Davatzikos, C., GraSP: geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex., Neuroimage, vol. 106, pp. 207-21, 2015.
C. E. Pugliese, Kenworthy, L., Bal, V. Hus, Wallace, G. L., Yerys, B. E., Maddox, B. B., White, S. W., Popal, H., Armour, A. Chelsea, Miller, J., Herrington, J. D., Schultz, R. T., Martin, A., and Anthony, L. Gutermuth, Replication and Comparison of the Newly Proposed ADOS-2, Module 4 Algorithm in ASD Without ID: A Multi-site Study., J Autism Dev Disord, vol. 45, no. 12, pp. 3919-31, 2015.
B. Tunc, Shankar, V., Parker, D., Schultz, R. T., and Verma, R., Towards a Quantified Network Portrait of a Population., Inf Process Med Imaging, vol. 24, pp. 650-61, 2015.
B. Tunc and Verma, R., Unifying Inference of Meso-Scale Structures in Networks., PLoS One, vol. 10, no. 11, p. e0143133, 2015.
L. D. Wiggins, Reynolds, A., Rice, C. E., Moody, E. J., Bernal, P., Blaskey, L., Rosenberg, S. A., Lee, L. - C., and Levy, S. E., Using standardized diagnostic instruments to classify children with autism in the study to explore early development., J Autism Dev Disord, vol. 45, no. 5, pp. 1271-80, 2015.
2012
Y. Ghanbari, Bloy, L., Batmanghelich, K., Roberts, T. P. L., and Verma, R., Dominant component analysis of electrophysiological connectivity networks., Med Image Comput Comput Assist Interv, vol. 15, no. Pt 3, pp. 231-8, 2012.
M. Ingalhalikar, Smith, A. R., Bloy, L., Gur, R., Roberts, T. P. L., and Verma, R., Identifying sub-populations via unsupervised cluster analysis on multi-edge similarity graphs., Med Image Comput Comput Assist Interv, vol. 15, no. Pt 2, pp. 254-61, 2012.
L. Bloy, Ingalhalikar, M., Batmanghelich, N. K., Schultz, R. T., Roberts, T. P. L., and Verma, R., An integrated framework for high angular resolution diffusion imaging-based investigation of structural connectivity., Brain Connect, vol. 2, no. 2, pp. 69-79, 2012.
I. Ionita-Laza, Makarov, V., and Buxbaum, J. D., Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets., Am J Hum Genet, vol. 90, no. 6, pp. 1002-13, 2012.
M. Ingalhalikar, Parker, W. A., Bloy, L., Roberts, T. P. L., and Verma, R., Using multiparametric data with missing features for learning patterns of pathology., Med Image Comput Comput Assist Interv, vol. 15, no. Pt 3, pp. 468-75, 2012.
L. Bloy, Ingalhalikar, M., Eavani, H., Schultz, R. T., Roberts, T. P. L., and Verma, R., White matter atlas generation using HARDI based automated parcellation., Neuroimage, vol. 59, no. 4, pp. 4055-63, 2012.