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Tunç B., Pandey J., John T. St., Meera S., Maldarelli J. E., Zwaigenbaum L., Hazlett H. C., Dager S. R., Botteron K. N., Girault J. B., McKinstry R. C., Verma R., Elison J. T., Pruett Jr. J. R., Piven J., Estes A. M., Schultz R. T., Diagnostic shifts in autism spectrum disorder can be linked to the fuzzy nature of the diagnostic boundary: A data-driven approach, 2020.

Published
Sariyanidi E., Zampella C. J., Schultz R. T., Tunç B., Can Facial Pose and Expression Be Separated with Weak Perspective Camera?, IEEE Conference on Computer Vision and Pattern Recognition, Accepted for publication, 2020
Sariyanidi E., Zampella C. J., Bartley K. G., Herrington J., Satterthwaite T. D., Schultz R. T., Tunç B., Discovering Synchronized Subsets of Sequences: A Large Scale Solution, IEEE Conference on Computer Vision and Pattern Recognition, Accepted for publication, 2020
Habes M, Grothe M J, Tunç B, McMillan C, Wolk D A, Davatzikos C, Disentangling heterogeneity in Alzheimer's disease and related dementias using data-driven methods, Biological Psychiatry, Epub ahead of print, 2020
Wang L A L, Herrington J D, Tunç B, Schultz R T, Bayesian regression-based developmental norms for the Benton Facial Recognition Test in males and females, Behavior research methods, Epub ahead of print, 2020
Shinohara R T, Shou H, Carone M, Schultz R, Tunç B, Parker D, Martin M L, Verma R, Distance-Based Analysis of Variance for Brain Connectivity, Biometrics, 76:1, 257-269, 2020
Sariyanidi E., Zampella C. J., Schultz R. T., Tunç B., Inequality-Constrained and Robust 3D Face Model Fitting, European Conference on Computer Vision, Accepted for publication, 2020
Tunç B, Yankowitz L D, Parker D, Alappatt J A, Pandey J, Schultz R T, Verma R, Deviation from normative brain development is associated with symptom severity in autism spectrum disorder, Molecular autism, 10:46, , 2019
Osmanlioglu Y, Tunç B, Parker D, Elliott Mark A, Baum G L, Ciric R, Satterthwaite T D, Gur R E, Gur R C, Verma R, System-level matching of structural and functional connectomes in the human brain, NeuroImage, vol:199, 93-104, 2019
Hauser M, Sariyanidi E, Tunç B, Zampella C, Brodkin E. S., Schultz R. T., Parish-Morris J, Using natural conversations to classify autism with limited data: Age matters, Workshop on Computational Linguistics and Clinical Psychology, 45-54, 2019
Yerys B E, Tunç B, Satterthwaite T D, Antezana L, Mosner M G, Bertollo Jennifer R, Guy L, Schultz R T, 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, Biological psychiatry: Cognitive neuroscience and neuroimaging, 4:4, 343-351, 2019
Osmanlioglu Y, Tunç B, Alappatt J. A., Parker D., Kim J., Shokoufandeh A., Verma R, A Graph Representation and Similarity Measure for Brain Networks with Nodal Features, International Workshop on Graphs in Biomedical Image Analysis, 14-23, 2018
Alagoz C, Cohen A R, Frisch D R, Tunç B, Phatharodom S, Guez A, Spiral waves characterization: Implications for an automated cardiodynamic tissue characterization, Computer methods and programs in biomedicine, vol:161, 15-24, 2018
Parish-Morris J, Sariyanidi E, Zampella C, Bartley G. K. , Ferguson E., Pallathra A. A., Bateman L., Plate S., Cola M., Pandey J., Brodkin E. S., Schultz R. T., Tunç B, Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder, Workshop on Computational Linguistics and Clinical Psychology, 147-157, 2018
Baum G L, Roalf D R, Cook P A, Ciric R, Rosen A F G, Xia C, Elliott M A, Ruparel K, Verma R, Tunç B, Gur R C, Gur R E, Bassett D S, Satterthwaite T D, The impact of in-scanner head motion on structural connectivity derived from diffusion MRI, NeuroImage, vol:173, 275-286, 2018
Davatzikos C, Rathore S, Bakas S, Pati S, Bergman M, Kalarot R, Sridharan P, Gastounioti A, Jahani N, Cohen E, Akbari H, Tunç B, Doshi J, Parker D, Hsieh M, Sotiras A, Li H, Ou Y, Doot R K, Bilello M, Fan Y, Shinohara R T, Yushkevich P, Verma R, Kontos D, Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome, Journal of medical imaging, 5:1, 011018, 2018
Zhang F, Savadjiev P, Cai W, Song Y, Rathi Y, Tunç B, Parker D, Kapur T, Schultz R T, Makris N, Verma R, O'Donnell L J, Whole brain white matter connectivity analysis using machine learning: An application to autism, NeuroImage, vol:172, 826-837, 2017
Honnorat N, Parker D, Tunç B, Davatzikos C, Verma R, Subject-Specific Structural Parcellations Based on Randomized AB-divergences, Medical Image Computing and Computer-assisted Intervention (MICCAI), vol:10433, 407-415, 2017
Fortin J-P, Parker D, Tunç 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, Shinohara R T, Harmonization of multi-site diffusion tensor imaging data, NeuroImage, vol:161, 149-170, 2017
Solmaz B, Tunç B, Parker D, Whyte J, Hart T, Rabinowitz A, Rohrbach M, Kim J, Verma R, Assessing connectivity related injury burden in diffuse traumatic brain injury, Human brain mapping, 38:6, 2913-2922, 2017
Ghanbari Y, Bloy L, Tunç B, Shankar V, Roberts T P L, Edgar J C, Schultz R T, Verma R, On characterizing population commonalities and subject variations in brain networks, Medical image analysis, vol:38, 215-229, 2017
Watanabe T, Tunç B, Parker D, Kim J, Verma R, Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection, Medical Image Computing and Computer-assisted Intervention (MICCAI), vol:9900, 166-174, 2016
Tunç B, Ingalhalikar M, Parker D, Lecoeur J, Singh N, Wolf R L, Macyszyn L, Brem S, Verma R, Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning, Neurosurgery, 79:4, 568-77, 2016
Tunç B, Solmaz B, Parker D, Satterthwaite T D, Elliott M A, Calkins M E, Ruparel K, Gur R E, Gur R C, Verma R, Establishing a link between sex-related differences in the structural connectome and behaviour, Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 371:1688, 20150111, 2016
Tunç B, Verma R, Unifying Inference of Meso-Scale Structures in Networks, PloS One, 10:11, e0143133, 2015
Tunç B, Semantics of object representation in machine learning, Pattern Recognition Letters, vol:64, 30-36, 2015
Tunç B, Shankar V, Parker D, Schultz R T, Verma R, Towards a Quantified Network Portrait of a Population, Information Processing in Medical Imaging (IPMI), vol:24, 650-61, 2015
Tunç B, Parker W A, Ingalhalikar M, Verma R, Automated tract extraction via atlas based Adaptive Clustering, NeuroImage, 102:2, 596-607, 2014
Tunç B, Ghanbari Y, Smith A R, Pandey J, Browne A, Schultz R T, Verma R, PUNCH: Population Characterization of Heterogeneity, NeuroImage, vol:98, 50-60, 2014
Tunç B, Smith A R, Wasserman D, Pennec X, Wells W M, Verma R, Pohl K M, Multinomial probabilistic fiber representation for connectivity driven clustering, Information Processing in Medical Imaging (IPMI), vol:23, 730-741, 2013
Tunç B, Dagli V, Gökmen M, Class dependent factor analysis and its application to face recognition, Pattern Recognition, 45:12, 4092-4102, 2012
Sariyanidi E, Dagli V, Tek S C, Tunç B, Gökmen M, Local Zernike Moments: A new representation for face recognition, International Conference on Image Processing, 585-588, 2012
Tunç B, Gökmen M, Manifold learning for face recognition under changing illumination, Telecommunication Systems, 47:3-4, 185-195, 2011
Tunç B, Dagli V, Gökmen M, Robust face recognition with class dependent factor analysis, International Joint Conference on Biometrics, 1-6, 2011
Tunç B, Zhou S K, Park J H, Gökmen M, Context ranking machine and its application to rigid localization of deformable objects, International Conference on Image Processing, 3633-3636, 2009
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