B. Tunç, B. Solmaz, D. Parker, D., Whyte, J., Hart, T., Rabinowitz, A., Rohrbach, M., Kim, J., R. Verma, Assessing connectivity related injury burden in diffuse traumatic brain injury, Human Brain Mapping, doi:10.1002/hbm.23561, 2017.
B. Tunç, B. Solmaz, D. Parker, T. D. Satterthwaite, M. A. Elliott, M. E. Calkins, K. Ruparel, R. E. Gur, R. C. Gur, R. Verma, Establishing a Link Between Sex Related Differences in the Structural Connectome and Behaviour, Phil. Trans. R. Soc. B, 371 (1688), 2016.
B. Tunç, M. Ingalhalikar, D. Parker, J. Lecoeur, R. L. Wolf, L. Macyszyn, S. Brem, R. Verma, Individualized Map of White Matter Pathways: Connectivity-based Paradigm for Neurosurgical Planning, Neurosurgery, 79 (4) pp.568-77. doi:10.1227/NEU.0000000000001183, 2016.
Y. Ghanbari, L. Bloy, B. Tunç, V. Shankar, T. PL Roberts, J. C. Edgar, R. T. Schultz, R. Verma, On Characterizing Population Commonalities and Subject Variations in Brain Networks, Medical Image Analysis, S1361-8415(15)00151-6, 2016.
B. Tunç, R. Verma, Unifying Inference of Meso-Scale Structures in Networks, PLoS ONE 10(11): e0143133. doi:10.1371/journal.pone.0143133, 2015.
B. Tunç, Semantics of Object Representation in Machine Learning, Pattern Recognition Letters, Vol. 64, pp. 30-36, 2015.
B. Tunç, W. A. Parker, M. Ingalhalikar, R. Verma, Automated tract extraction via atlas based Adaptive Clustering, NeuroImage, Vol. 102 (2), pp. 596-607 2014.
B. Tunç, Y. Ghanbari, A. R. Smith, J. Pandey, A. Browne, R. T. Schultz, R. Verma, PUNCH: Population Characterization of Heterogeneity, NeuroImage, Vol. 98, pp. 50-60, 2014.
B. Tunç, V. Dağlı, M. Gökmen, Class Dependent Factor Analysis and Its Application to Face Recognition, Pattern Recognition, Vol. 45 (12), pp. 4092–4102, 2012.
B. Tunç, M. Gökmen, Manifold learning for face recognition under changing illumination, Telecommunication Systems, Vol. 47 (3), pp. 185-195, 2011.
T. Watanabe, B. Tunç, D. Parker, J. Kim, R. Verma, Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection, Procs. of Medical Image Computing and Computer-Assisted Intervention, pp. 166-174, 2016.
B. Tunç, V. Shankar , D. Parker , R. T. Schultz , R. Verma, Towards a Quantified Network Portrait of a Population, Information Processing in Medical Imaging (IPMI), 2015.
B. Tunç, A. R. Smith, D. Wasserman, X. Pennec, W. M. Wells, R. Verma, K. M. Pohl, Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering, Information Processing in Medical Imaging (IPMI), 2013.
E. Sarıyanidi, V. Dağlı, S. C. Tek, B. Tunç, M. Gökmen, Local Zernike Moments: A New Representation For Face Recognition, In the Procs. of International Conference on Image Processing (ICIP), USA, 2012.
B. Tunç, V. Dağlı, M. Gökmen, Robust Face Recognition with Class Dependent Factor Analysis, In the Procs. of International Joint Conference on Biometrics (IJCB), USA, 2011.
B. Tunç, S. K. Zhou, J. H. Park, M. Gökmen, Context Ranking Machine and Its Application to Rigid Localization of Deformable Objects, In the Procs. of International Conference on Image Processing (ICIP), Egypt, 2009.
B. Tunç, M. Gökmen, Illumination Invariant Face Recognition on Nonlinear Manifolds, AAAI Fall Symposium on Manifold Learning and its Applications, USA, 2009.
B. Tunç, D. Parker, J. Pandey, R. Verma, R. T. Schultz, Categorical Meets Dimensional: A Fuzzy Categorical Conception of Autism Spectrum, The International Meeting for Autism Research (IMFAR), 2017.
B. Tunç, W. A. Parker, R. Verma, On Quantitatively Comparing Tractography Algorithms, Joint Annual Meeting ISMRM-ESMRMB, 2017.
T. Watanabe, B. Tunç, D. Parker, J. P. Fortin, R. Verma, Normalization of inter-site Structural Connectivity Data for Regression analysis, Joint Annual Meeting ISMRM-ESMRMB, 2017.
B. Tunç, D. Parker, R. T. Schultz, R. Verma, Autism Spectrum Disorder Is Characterized by Structural Under-Connectivity in Reward Circuitry, The International Meeting for Autism Research (IMFAR), 2016.
B. Tunç, Y. Ghanbari, A. R. Smith, J. Pandey, A. Browne, R. T. Schultz, R. Verma, A Novel Severity Measure for Quantitative Description of Heterogeneity in Autism, The International Meeting for Autism Research (IMFAR), 2014.
B. Tunç, W. A. Parker, R. Verma, Automated extraction of fiber bundles for population studies, Joint Annual Meeting ISMRM-ESMRMB, 2014.
E. Caruyer, L. Bloy, B. Tunç, J. Lecoeur, V. Shankar, R. Verma, A comparative study of 16 tractography algorithms for the corticospinal tract: reproducibility and subject-specificity, Joint Annual Meeting ISMRM-ESMRMB, 2014.
L. Macyszyn, J. Lecoeur, E. Caruyer, B. Tunç, E. Larkin, F. Quattrone, D. O’Rourke, R. L. Wolf, S. Brem, R. Verma, Tractography for Neurosurgeons: Automating tract extraction and resolving the challenges of edema, European Conference for Neurosurgery (EANS), 2014.
B. Tunç, M. Gökmen, Probabilistic Matrix Approximation, SIAM Conference on Applied Linear Algebra, Spain, 2012.
E. Sarıyanidi, V. Dağlı, S. C. Tek, B. Tunç, M. Gökmen, A Novel Face Representation Using Local Zernike Moments, In the Procs. of Conference on Signal Processing and Communications Applications (SIU), Turkey, 2012.
B. Tunç, V. Dağlı, M. Gökmen, Class-Specific Factor Analysis For Object Recognition, In the Procs. of Conference on Signal Processing and Communications Applications (SIU), Turkey, 2011.
B. Tunç, M. Gökmen, Face Recognition with Multimodal Subspace Analysis, In the Procs. of Conference on Signal Processing and Communications Applications (SIU), Turkey, 2010.