Mert R. Sabuncu

发表

Asymmetric Image-Template Registration

Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, 2009, MICCAI.

Analysis of Surfaces Using Constrained Regression Models

Rasmus Larsen, Mert R. Sabuncu, Polina Golland, 2008, MICCAI.

Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation pdf

Mert R. Sabuncu, Hyeon Woo Lee, Adrian V. Dalca, 2019, ArXiv.

Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks pdf

Mert R. Sabuncu, Adrian V. Dalca, Alan Q. Wang, 2021, ArXiv.

A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain Structures

Mert R. Sabuncu, Evan M. Yu, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction

Mert R. Sabuncu, Koenraad Van Leemput, M. Sabuncu, 2012, IEEE Transactions on Medical Imaging.

Medical Image Imputation From Image Collections

Mert R. Sabuncu, Polina Golland, William T. Freeman, 2018, IEEE Transactions on Medical Imaging.

Corrigendum to “Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data” [NeuroImage 81 (1 November 2013) 358–370]

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2015, NeuroImage.

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

Mert R. Sabuncu, Nozomi Nishimura, Mohammad Haft-Javaherian, 2018, PloS one.

Graph-theoretic image registration using prior examples

Mert R. Sabuncu, Peter J. Ramadge, 2005, 2005 13th European Signal Processing Conference.

Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2015, NeuroImage.

A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application

Mert R. Sabuncu, Thomas E. Nichols, Debashis Ghosh, 2015, NeuroImage.

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca, 2018, MICCAI.

Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data pdf

Mert R. Sabuncu, Adrian V. Dalca, Alan Q. Wang, 2020, MLMIR@MICCAI.

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

Mert R. Sabuncu, B. T. Thomas Yeo, Simon B. Eickhoff, 2020, NeuroImage.

Supervised Nonparametric Image Parcellation

Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, 2009, MICCAI.

A generative model for multi-atlas segmentation across modalities

Mert R. Sabuncu, Koenraad Van Leemput, Juan Eugenio Iglesias, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Consistency Clustering: A Robust Algorithm for Group-wise Registration, Segmentation and Automatic Atlas Construction in Diffusion MRI

W. Eric L. Grimson, Carl-Fredrik Westin, Mert R. Sabuncu, 2009, International Journal of Computer Vision.

Unsupervised deep learning for Bayesian brain MRI segmentation

Mert R. Sabuncu, Polina Golland, Bruce Fischl, 2019, MICCAI.

Cortical response to naturalistic stimuli is largely predictable with deep neural networks

Mert R. Sabuncu, Amy Kuceyeski, Meenakshi Khosla, 2020, Science Advances.

Do Deep Neural Networks Outperform Kernel Regression for Functional Connectivity Prediction of Behavior?

Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, 2018, bioRxiv.

Using Spanning Graphs for Efficient Image Registration

Mert R. Sabuncu, Peter J. Ramadge, P. Ramadge, 2008, IEEE Transactions on Image Processing.

Learning-based Optimization of the Under-sampling Pattern in MRI pdf

Mert R. Sabuncu, Adrian V. Dalca, Cagla Deniz Bahadir, 2019, IPMI.

A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models

Mert R. Sabuncu, 2014, MICCAI.

Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction

Shun Zhang, Mert R. Sabuncu, Pascal Spincemaille, 2019, NeuroImage.

Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration

Mert R. Sabuncu, Bruce Fischl, Juan Eugenio Iglesias, 2015, MICCAI.

Image-driven population analysis through mixture modeling

Mert R. Sabuncu, Polina Golland, Martha Elizabeth Shenton, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles

Carl-Fredrik Westin, Mert R. Sabuncu, Lauren O'Donnell, 2007, MICCAI.

A Unified Framework for MR Based Disease Classification

Mert R. Sabuncu, Kilian M. Pohl, M. Sabuncu, 2009, IPMI.

Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation

Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer’s disease

Mert R. Sabuncu, B. T. Thomas Yeo, Alzheimer's Disease Neuroimaging Initiative, 2019, NeuroImage.

Learning Conditional Deformable Templates with Convolutional Networks

Mert R. Sabuncu, John Guttag, Adrian V. Dalca, 2019, NeurIPS.

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca, 2018, IEEE Transactions on Medical Imaging.

A Surface-based Analysis of Language Lateralization and Cortical Asymmetry

Mert R. Sabuncu, Marc Brysbaert, Qing Cai, 2013, Journal of Cognitive Neuroscience.

Unsupervised Data Imputation via Variational Inference of Deep Subspaces pdf

Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca, 2019, ArXiv.

Neural encoding with visual attention pdf

Mert R. Sabuncu, Amy Kuceyeski, Meenakshi Khosla, 2020, NeurIPS.

Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study

Mert R. Sabuncu, Ender Konukoglu, E. Konukoglu, 2014, Neuroinformatics.

What Data to Co-register for Computing Atlases

Mert R. Sabuncu, B. T. Thomas Yeo, Polina Golland, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Detecting abnormalities in resting-state dynamics: An unsupervised learning approach pdf

Mert R. Sabuncu, Keith Jamison, Meenakshi Khosla, 2019, MLMI@MICCAI.

Comparison of convolutional neural and fully convolutional networks for segmentation of 3D in vivo multiphoton microscopy images of brain vasculature

Mert R. Sabuncu, Nozomi Nishimura, Mohammad Haft-Javaherian, 2019 .

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout pdf

Mert R. Sabuncu, Adrian V. Dalca, Zhilu Zhang, 2019, ArXiv.

Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation

Mert R. Sabuncu, Polina Golland, Reza Nezafat, 2010, STACOM/CESC.

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Mert R. Sabuncu, Zhilu Zhang, M. Sabuncu, 2018, NeurIPS.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Leo Joskowicz, William Wells, Mert R. Sabuncu, 2017, Lecture Notes in Computer Science.

Controlling for Intra-Subject and Inter-Subject Variability in Individual-Specific Cortical Network Parcellations

Mert R. Sabuncu, B. T. Thomas Yeo, Simon B. Eickhoff, 2017 .

On Removing Interpolation and Resampling Artifacts in Rigid Image Registration

Mert R. Sabuncu, B. T. Thomas Yeo, Bruce Fischl, 2013, IEEE Transactions on Image Processing.

A Sparse Bayesian Learning Algorithm for Longitudinal Image Data

Mert R. Sabuncu, M. Sabuncu, 2015, MICCAI.

Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry

Mert R. Sabuncu, Koenraad Van Leemput, Juan Eugenio Iglesias, 2013, Medical Image Anal..

From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity

Mert R. Sabuncu, Amy Kuceyeski, Meenakshi Khosla, 2020, MICCAI.

Guest editorial of the IJCARS MICCAI 2016 special issue

Leo Joskowicz, Sébastien Ourselin, William Wells, 2017, International Journal of Computer Assisted Radiology and Surgery.

Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors

Mert R. Sabuncu, Polina Golland, Adrian V. Dalca, 2014, MICCAI.

Learning Conditional Deformable Shape Templates for Brain Anatomy

Mert R. Sabuncu, Adrian V. Dalca, Evan M. Yu, 2020, MLMI@MICCAI.

Spherical Demons: Fast Surface Registration

Nicholas Ayache, Mert R. Sabuncu, B. T. Thomas Yeo, 2008, MICCAI.

Predictive Modeling of Anatomy with Genetic and Clinical Data

Mert R. Sabuncu, Polina Golland, Adrian V. Dalca, 2015, MICCAI.

Event time analysis of longitudinal neuroimage data

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2014, NeuroImage.

Population Based Image Imputation

Mert R. Sabuncu, Polina Golland, William T. Freeman, 2017, IPMI.

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca, 2019, Medical Image Anal..

A Bayesian Disease Progression Model for Clinical Trajectories

Mert R. Sabuncu, Yingying Zhu, M. Sabuncu, 2018, GRAIL/Beyond-MIC@MICCAI.

Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision pdf

Mert R. Sabuncu, Zhilu Zhang, Lin Sun, 2020, ArXiv.

Effects of registration regularization and atlas sharpness on segmentation accuracy

Mert R. Sabuncu, B. T. Thomas Yeo, Polina Golland, 2008, Medical Image Anal..

An Improved Optimization Method for the Relevance Voxel Machine

Mert R. Sabuncu, Koenraad Van Leemput, Melanie Ganz, 2013, MLMI.

Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural Network

Mert R. Sabuncu, Ajay Gupta, Tianyu Ma, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

A Bayesian Algorithm for Image-Based Time-to-Event Prediction

Mert R. Sabuncu, M. Sabuncu, 2013, MLMI.

A Generative Model for Probabilistic Label Fusion of Multimodal Data

Mert R. Sabuncu, Koenraad Van Leemput, Juan Eugenio Iglesias, 2012, MBIA.

A Robust Algorithm for Fiber-Bundle Atlas Construction

W. Eric L. Grimson, Carl-Fredrik Westin, Mert R. Sabuncu, 2007, 2007 IEEE 11th International Conference on Computer Vision.

A Generative Model for Image Segmentation Based on Label Fusion

Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, 2010, IEEE Transactions on Medical Imaging.

The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016)

Leo Joskowicz, Sébastien Ourselin, Mert R. Sabuncu, 2017, Medical Image Anal..

Corrigendum to “Event time analysis of longitudinal neuroimage data” [NeuroImage 97 (15 August 2014) 9–18]

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2015, NeuroImage.

An Auto-Encoder Strategy for Adaptive Image Segmentation pdf

Mert R. Sabuncu, Juan Eugenio Iglesias, Adrian V. Dalca, 2020, MIDL.

3D Convolutional Neural Networks for Classification of Functional Connectomes pdf

Mert R. Sabuncu, Keith Jamison, Meenakshi Khosla, 2018, DLMIA/ML-CDS@MICCAI.

The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction

Mert R. Sabuncu, Koenraad Van Leemput, M. Sabuncu, 2011, MICCAI.

Estimated by Functional Connectivity

Mert R. Sabuncu, Danial Lashkari, Jonathan R. Polimeni, 2011 .

A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth

Mert R. Sabuncu, Koenraad Van Leemput, M. Sabuncu, 2014, MICCAI.

Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and Demographics

Mert R. Sabuncu, B. T. Thomas Yeo, Simon B. Eickhoff, 2019 .

Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy

Mert R. Sabuncu, B. T. Thomas Yeo, Polina Golland, 2007, MICCAI.

Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex

Mert R. Sabuncu, B. T. Thomas Yeo, Polina Golland, 2010, IEEE Transactions on Medical Imaging.

Task-Optimal Registration Cost Functions

Mert R. Sabuncu, B. T. Thomas Yeo, Polina Golland, 2009, MICCAI.

Joint Cell Nuclei Detection and Segmentation in Microscopy Images Using 3D Convolutional Networks pdf

Mert R. Sabuncu, Sundaresh Ram, Vicky T. Nguyen, 2018, ArXiv.

Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2013, NeuroImage.

Joint Modeling of Imaging and Genetics

Mert R. Sabuncu, Polina Golland, Nematollah Batmanghelich, 2013, IPMI.

Corrigendum to “Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models” [NeuroImage 66 (1 February 2013) 249–260]

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2015, NeuroImage.

Intelligence plays dice: Stochasticity is essential for machine learning pdf

Mert R. Sabuncu, M. Sabuncu, 2020, ArXiv.

Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS

Mert R. Sabuncu, Yingying Zhu, Jodi M. Gilman, 2019, MICCAI.

Image-Driven Population Analysis Through Mixture Modeling

Mert R. Sabuncu, M. Sabuncu, 2009, IEEE Transactions on Medical Imaging.

Fast alignment of digital images using a lower bound on an entropy metric

Mert R. Sabuncu, Peter J. Ramadge, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications

Gurpreet Singh, Mert R. Sabuncu, James K. Min, 2019, Adv. Intell. Syst..

An algorithm for optimal fusion of atlases with different labeling protocols

Mert R. Sabuncu, Koenraad Van Leemput, Bruce Fischl, 2015, NeuroImage.

Modeling anatomical heterogeneity in populations

Mert R. Sabuncu, Polina Golland, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction

Mert R. Sabuncu, Keith Jamison, Meenakshi Khosla, 2019, NeuroImage.

Adaptive Compressed Sensing MRI with Unsupervised Learning pdf

Mert R. Sabuncu, Adrian V. Dalca, Cagla D. Bahadir, 2019, ArXiv.

Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI

Mert R. Sabuncu, Adrian V. Dalca, Alan Q. Wang, 2020, IEEE Transactions on Computational Imaging.

Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?

Mert R. Sabuncu, B. T. Thomas Yeo, Simon B. Eickhoff, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Multi-atlas segmentation of biomedical images: A survey

Mert R. Sabuncu, Juan Eugenio Iglesias, J. E. Iglesias, 2014, Medical Image Anal..

Gradient based optimization of an EMST image registration function

Mert R. Sabuncu, Peter J. Ramadge, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Self-Distillation as Instance-Specific Label Smoothing pdf

Mert R. Sabuncu, Zhilu Zhang, M. Sabuncu, 2020, NeurIPS.

Function-based Intersubject Alignment of

Mert R. Sabuncu, Peter J. Ramadge, James V. Haxby, 2010 .

Global signal regression strengthens association between resting-state functional connectivity and behavior

Mert R. Sabuncu, B. T. Thomas Yeo, Tian Ge, 2019, NeuroImage.

Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction pdf

Mert R. Sabuncu, Keith Jamison, Meenakshi Khosla, 2018, NeuroImage.

Spatiotemporal Linear Mixed Effects Modeling for the Mass-univariate Analysis of Longitudinal Neuroimage Data ⁎ for the Alzheimer's Disease Neuroimaging Initiative 1

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2022 .

Symmetric non-rigid image registration via an adaptive quasi-volume-preserving constraint

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Spatial Information in Entropy-Based Image Registration

Mert R. Sabuncu, Peter J. Ramadge, P. Ramadge, 2003, WBIR.

Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions

André J. W. van der Kouwe, Mert R. Sabuncu, Ender Konukoglu, 2013, MICCAI.

A shared neural encoding model for the prediction of subject-specific fMRI response pdf

Mert R. Sabuncu, Amy Kuceyeski, Meenakshi Khosla, 2020, MICCAI.

On Feature Relevance in Image-Based Prediction Models: An Empirical Study

Mert R. Sabuncu, Koenraad Van Leemput, Ender Konukoglu, 2013, MLMI.

Discovering Modes of an Image Population through Mixture Modeling

Mert R. Sabuncu, Polina Golland, Serdar K. Balci, 2008, MICCAI.

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

M. Jorge Cardoso, Mert R. Sabuncu, Li Shen, 2017, Lecture Notes in Computer Science.

Machine learning in resting-state fMRI analysis

Mert R. Sabuncu, Keith Jamison, Meenakshi Khosla, 2018, Magnetic resonance imaging.

Entropy-based Image Registration

Mert R. Sabuncu, M. Sabuncu, 2006 .

Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration

Nicholas Ayache, Mert R. Sabuncu, B. T. Thomas Yeo, 2010, IEEE Transactions on Medical Imaging.

Machine Learning and Medical Imaging

Mert R. Sabuncu, Guorong Wu, Dinggang Shen, 2016 .

An Unsupervised Learning Model for Deformable Medical Image Registration

Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry

Mert R. Sabuncu, Koenraad Van Leemput, Juan Eugenio Iglesias, 2012, MICCAI.

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome pdf

Mert R. Sabuncu, Yingying Zhu, M. Sabuncu, 2018, ArXiv.

A unified framework for cross-modality multi-atlas segmentation of brain MRI

Mert R. Sabuncu, Koenraad Van Leemput, Juan Eugenio Iglesias, 2013, Medical Image Anal..

Conditional Entropy as a Supervised Primitive Segmentation Loss Function.

Mert R. Sabuncu, Sundaresh Ram, 2018 .

Measuring and comparing brain cortical surface area and other areal quantities

Mert R. Sabuncu, B. T. Thomas Yeo, Thomas E. Nichols, 2012, NeuroImage.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016

Leo Joskowicz, Mert R. Sabuncu, William M. Wells, 2016, Lecture Notes in Computer Science.

The influence of head motion on intrinsic functional connectivity MRI

Mert R. Sabuncu, Koene R. A. Van Dijk, Randy L. Buckner, 2012, NeuroImage.

A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion

Mert R. Sabuncu, Koenraad Van Leemput, Juan Eugenio Iglesias, 2013, MICCAI.

HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks

Mert R. Sabuncu, Adrian V. Dalca, Alan Q. Wang, 2021, MLMIR@MICCAI.

Hyper-Convolution Networks for Biomedical Image Segmentation pdf

Mert R. Sabuncu, Tianyu Ma, Adrian V. Dalca, 2021, ArXiv.

NeuroGen: Activation optimized image synthesis for discovery neuroscience

Mert R. Sabuncu, Kendrick Kay, Emily J. Allen, 2021, NeuroImage.

Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query

Mert R. Sabuncu, Minh Le Nguyen, Gia H. Ngo, 2021, MICCAI.

Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping

Yi Wang, Mert R. Sabuncu, Pascal Spincemaille, 2021, MIDL.

Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

Mert R. Sabuncu, Chris Xu, Alan Q. Wang, 2021, MICCAI.

Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation

Mert R. Sabuncu, Zhilu Zhang, Lin Sun, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Ex uno plures: Splitting One Model into an Ensemble of Subnetworks pdf

Mert R. Sabuncu, Zhilu Zhang, Vianne R. Gao, 2021, ArXiv.

Morphometricity as a measure of the neuroanatomical signature of a trait

Mert R. Sabuncu, Bruce Fischl, Tian Ge, 2016, Proceedings of the National Academy of Sciences.

Self-Distillation as Instance-Specific Label Smoothing pdf

Mert R. Sabuncu, Zhilu Zhang, 2020, NeurIPS.

Global signal regression strengthens association between resting-state functional connectivity and behavior

Mert R. Sabuncu, Tian Ge, Jingwei Li, 2019, NeuroImage.

Event time analysis of longitudinal neuroimage data O F

Mert R. Sabuncu, Bruce Fischl, Martin Reuter, 2014 .

Heritability analysis with repeat measurements and its application to resting-state functional connectivity

Mert R. Sabuncu, Tian Ge, Randy L. Buckner, 2017, Proceedings of the National Academy of Sciences.

Heritability of Neuroanatomical Shape

Mert R. Sabuncu, Anderson M. Winkler, Tian Ge, 2015 .

Selective Disruption of the Cerebral Neocortex in Alzheimer's Disease

Michael W. Weiner, Anders M. Dale, Mert R. Sabuncu, 2010, PloS one.