Birkan Tunç

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Robust face recognition with class dependent factor analysis

Muhittin Gökmen, Birkan Tunç, Volkan Dagli, 2011, 2011 International Joint Conference on Biometrics (IJCB).

Real time face detection and recognition

Evangelos Sariyanidi, Muhittin Gökmen, Birkan Tunç, 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

NIMG-63BRAIN NETWORK VULNERABILITY MAP FOR TREATMENT PLANNING.

Ragini Verma, Drew Parker, Birkan Tunç, 2015 .

A novel face representation using local Zernike moments

Evangelos Sariyanidi, Muhittin Gökmen, Birkan Tunç, 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

Spiral waves characterization: Implications for an automated cardiodynamic tissue characterization

Allon Guez, Birkan Tunç, Daniel R. Frisch, 2018, Comput. Methods Programs Biomed..

The impact of in-scanner head motion on structural connectivity derived from diffusion MRI

Ragini Verma, Mark A. Elliott, Philip A. Cook, 2018, NeuroImage.

System-level matching of structural and functional connectomes in the human brain

Ragini Verma, Mark A. Elliott, Drew Parker, 2019, NeuroImage.

Multinomial Probabilistic Fiber Representation for Connectivity Driven Clustering

Kilian M. Pohl, William M. Wells, Ragini Verma, 2013, IPMI.

Local Zernike Moments: A new representation for face recognition

Evangelos Sariyanidi, Muhittin Gökmen, Birkan Tunç, 2012, 2012 19th IEEE International Conference on Image Processing.

Semantics of object representation in machine learning

Birkan Tunç, B. Tunç, 2015, Pattern Recognit. Lett..

LZM in Action: Realtime Face Recognition System

Evangelos Sariyanidi, Muhittin Gökmen, Birkan Tunç, 2012, ECCV Workshops.

Design sensitivity and optimization of powertrain mount system design parameters for rigid body modes and kinetic energy distributions

Birkan Tunç, Polat Şendur, B. Tunç, 2020, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Harmonization of multi-site diffusion tensor imaging data

Ragini Verma, Drew Parker, Kosha Ruparel, 2017, NeuroImage.

Automated tract extraction via atlas based Adaptive Clustering

Ragini Verma, Birkan Tunç, Madhura Ingalhalikar, 2014, NeuroImage.

A new methodology to determine the design sensitivity of critical automotive body joints for basic design cycle

Birkan Tunç, Polat Şendur, 2019 .

A Graph Representation and Similarity Measure for Brain Networks with Nodal Features

Ali Shokoufandeh, Ragini Verma, Drew Parker, 2018, GRAIL/Beyond-MIC@MICCAI.

Class dependent factor analysis and its application to face recognition

Muhittin Gökmen, Birkan Tunç, Volkan Dagli, 2012, Pattern Recognit..

Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection

Ragini Verma, Drew Parker, Junghoon Kim, 2016, MICCAI.

Context ranking machine and its application to rigid localization of deformable objects

Shaohua Kevin Zhou, Jin Hyeong Park, Muhittin Gökmen, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Harmonization of multi-site diffusion tensor imaging data

Robert T. Schultz, Russell T. Shinohara, Ragini Verma, 2017 .

Subject-Specific Structural Parcellations Based on Randomized AB-divergences

Christos Davatzikos, Ragini Verma, Drew Parker, 2017, MICCAI.

Manifold learning for face recognition under changing illumination

Muhittin Gökmen, Birkan Tunç, 2011, Telecommun. Syst..

PUNCH: Population Characterization of Heterogeneity

Robert T. Schultz, Yasser Ghanbari, Ragini Verma, 2014, NeuroImage.

Illumination Invariant Face Recognition on Nonlinear Manifolds

Muhittin Gökmen, Birkan Tunç, 2009, AAAI Fall Symposium: Manifold Learning and Its Applications.

Implementation and validation of a three dimensional damaging finite strain viscoelastic model

Birkan Tunç, Şebnem Özüpek, B. Tunç, 2016 .

Discovering Synchronized Subsets of Sequences: A Large Scale Solution

Robert T. Schultz, Evangelos Sariyanidi, Theodore D. Satterthwaite, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unifying Inference of Meso-Scale Structures in Networks

Ragini Verma, Birkan Tunç, R. Verma, 2015, PloS one.

Whole brain white matter connectivity analysis using machine learning: An application to autism

Peter Savadjiev, Robert T. Schultz, Ragini Verma, 2017, NeuroImage.

Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder

Robert T. Schultz, Evangelos Sariyanidi, Birkan Tunç, 2018, CLPsych@NAACL-HTL.

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2017, BrainLes@MICCAI.

Towards a Quantified Network Portrait of a Population

Robert T. Schultz, Ragini Verma, Drew Parker, 2015, IPMI.

Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging

Thomas E. Yankeelov, George Biros, Birkan Tunç, 2021, IEEE Transactions on Biomedical Engineering.

Assessing connectivity related injury burden in diffuse traumatic brain injury

Ragini Verma, Drew Parker, Junghoon Kim, 2017, Human brain mapping.

Individualized Map of White Matter Pathways: Connectivity-Based Paradigm for Neurosurgical Planning.

Luke Macyszyn, Ragini Verma, Drew Parker, 2016, Neurosurgery.