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We just began a large new study on
Autism, ADHD, Anxiety & Depression in 12-17 year-olds.
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Author [ Title(Asc)] Type Year
Filters: Author is Tunc, Birkan  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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F. Zhang, Savadjiev, P., Caí, W., Song, Y., Rathi, Y., Tunc, B., Parker, D., Kapur, T., Schultz, R. T., Makris, N., Verma, R., and O'Donnell, L. J., “Whole brain white matter connectivity analysis using machine learning: An application to autism.”, Neuroimage, vol. 172, pp. 826-837, 2018.
U
M. Hauser, Sariyanidi, E., Tunc, B., Zampella, C., Brodkin, E., Schultz, R., and Parish-Morris, J., “Using natural conversations to classify autism with limited data: Age matters”, in Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, Minneapolis, Minnesota, 2019.
M. Hauser, Sariyanidi, E., Tunc, B., Zampella, C., Brodkin, E., Schultz, R. T., and Parish-Morris, J., “Using natural conversations to classify autism with limited data: Age matters”, in Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology, 2019.
B. Tunc and Verma, R., “Unifying Inference of Meso-Scale Structures in Networks.”, PLoS One, vol. 10, no. 11, p. e0143133, 2015.
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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.
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N. Honnorat, Parker, D., Tunc, B., Davatzikos, C., and Verma, R., “Subject-Specific Structural Parcellations Based on Randomized AB-divergences.”, Med Image Comput Comput Assist Interv, vol. 10433, pp. 407-415, 2017.
B. Tunc, “Semantics of object representation in machine learning”, Pattern Recognition Letters, vol. 64, pp. 30–36, 2015.
P
B. Tunc, Ghanbari, Y., Smith, A. R., Pandey, J., Browne, A., Schultz, R. T., and Verma, R., “PUNCH: Population Characterization of Heterogeneity.”, Neuroimage, vol. 98, pp. 50-60, 2014.
L
T. Watanabe, Tunc, B., Parker, D., Kim, J., and Verma, R., “Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection”, in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016.
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B. Tunc, Ingalhalikar, M., Parker, D., Lecoeur, J., Singh, N., Wolf, R. L., Macyszyn, L., Brem, S., and Verma, R., “Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning.”, Neurosurgery, vol. 79, no. 4, pp. 568-77, 2016.
G. L. Baum, Roalf, D. R., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliott, M. A., Ruparel, K., Verma, R., Tunc, B., Gur, R. C., Gur, R. E., Bassett, D. S., and Satterthwaite, T. D., “The impact of in-scanner head motion on structural connectivity derived from diffusion MRI.”, Neuroimage, vol. 173, pp. 275-286, 2018.
H
J. - P. Fortin, Parker, D., Tunc, B., Watanabe, T., Elliott, M. A., Ruparel, K., Roalf, D. R., Satterthwaite, T. D., Gur, R. C., Gur, R. E., Schultz, R. T., Verma, R., and Shinohara, R. T., “Harmonization of multi-site diffusion tensor imaging data.”, Neuroimage, vol. 161, pp. 149-170, 2017.
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B. E. Yerys, Tunc, B., Satterthwaite, T. D., Antezana, L., Mosner, M. G., Bertollo, J. R., Guy, L., Schultz, R. T., and Herrington, J. D., “Functional Connectivity of Frontoparietal and Salience/Ventral Attention Networks Have Independent Associations With Co-occurring Attention-Deficit/Hyperactivity Disorder Symptoms in Children With Autism.”, Biol Psychiatry Cogn Neurosci Neuroimaging, vol. 4, no. 4, pp. 343-351, 2019.
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B. Tunc, Solmaz, B., Parker, D., Satterthwaite, T. D., Elliott, M. A., Calkins, M. E., Ruparel, K., Gur, R. E., Gur, R. C., and Verma, R., “Establishing a link between sex-related differences in the structural connectome and behaviour.”, Philos Trans R Soc Lond B Biol Sci, vol. 371, no. 1688, p. 20150111, 2016.
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R. T. Shinohara, Shou, H., Carone, M., Schultz, R., Tunc, B., Parker, D., and Verma, R., “Distance-Based Analysis of Variance for Brain Connectivity”, 2016.
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Y. Ghanbari, Bloy, L., Tunc, B., Shankar, V., Roberts, T. P. L., J Edgar, C., Schultz, R. T., and Verma, R., “On characterizing population commonalities and subject variations in brain networks.”, Med Image Anal, vol. 38, pp. 215-229, 2017.
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B. Solmaz, Tunc, B., Parker, D., Whyte, J., Hart, T., Rabinowitz, A., Rohrbach, M., Kim, J., and Verma, R., “Assessing connectivity related injury burden in diffuse traumatic brain injury.”, Hum Brain Mapp, vol. 38, no. 6, pp. 2913-2922, 2017.