Mert R. Sabuncu

Orcid: 0000-0002-7068-719X

Affiliations:
  • Cornell University, Ithaca, USA


According to our database1, Mert R. Sabuncu authored at least 152 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
Patterns, 2024

2023
A robust and interpretable deep learning framework for multi-modal registration via keypoints.
Medical Image Anal., December, 2023

Hyper-convolutions via implicit kernels for medical image analysis.
Medical Image Anal., May, 2023

LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping.
NeuroImage, March, 2023

A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification.
Trans. Mach. Learn. Res., 2023

Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis.
npj Digit. Medicine, 2023

Robust Learning via Conditional Prevalence Adjustment.
CoRR, 2023

Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes.
CoRR, 2023

A Framework for Interpretability in Machine Learning for Medical Imaging.
CoRR, 2023

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
CoRR, 2023

Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
CoRR, 2023

Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing.
CoRR, 2023

Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Compare Longitudinal Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

Decoding natural image stimuli from fMRI data with a surface-based convolutional network.
Proceedings of the Medical Imaging with Deep Learning, 2023

Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Semi-Parametric Inducing Point Networks and Neural Processes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

UniverSeg: Universal Medical Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.
NeuroImage, 2022

NeuroGen: Activation optimized image synthesis for discovery neuroscience.
NeuroImage, 2022

A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries.
Medical Image Anal., 2022

A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification.
CoRR, 2022

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies.
CoRR, 2022

Semi-Parametric Deep Neural Networks in Linear Time and Memory.
CoRR, 2022

Computing Multiple Image Reconstructions with a Single Hypernetwork.
CoRR, 2022

Hyper-Convolutions via Implicit Kernels for Medical Imaging.
CoRR, 2022

Personalized visual encoding model construction with small data.
CoRR, 2022

Hyper-Convolution Networks for Biomedical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Label conditioned segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks.
CoRR, 2021

NeuroGen: activation optimized image synthesis for discovery neuroscience.
CoRR, 2021

Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks.
CoRR, 2021

Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Ensembling Low Precision Models for Binary Biomedical Image Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI.
IEEE Trans. Computational Imaging, 2020

Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction.
NeuroImage, 2020

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
NeuroImage, 2020

Intelligence plays dice: Stochasticity is essential for machine learning.
CoRR, 2020

Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision.
CoRR, 2020

Self-Distillation as Instance-Specific Label Smoothing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural encoding with visual attention.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

An Auto-Encoder Strategy for Adaptive Image Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

Learning Conditional Deformable Shape Templates for Brain Anatomy.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Medical Image Imputation From Image Collections.
IEEE Trans. Medical Imaging, 2019

VoxelMorph: A Learning Framework for Deformable Medical Image Registration.
IEEE Trans. Medical Imaging, 2019

Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease.
NeuroImage, 2019

Global signal regression strengthens association between resting-state functional connectivity and behavior.
NeuroImage, 2019

Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.
NeuroImage, 2019

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.
Medical Image Anal., 2019

Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation.
CoRR, 2019

Adaptive Compressed Sensing MRI with Unsupervised Learning.
CoRR, 2019

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout.
CoRR, 2019

Unsupervised Data Imputation via Variational Inference of Deep Subspaces.
CoRR, 2019

Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications.
Adv. Intell. Syst., 2019

Learning Conditional Deformable Templates with Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain Structures.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning-Based Optimization of the Under-Sampling Pattern in MRI.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Machine learning in resting-state fMRI analysis.
CoRR, 2018

Ensemble learning with 3D convolutional neural networks for connectome-based prediction.
CoRR, 2018

A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome.
CoRR, 2018

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.
CoRR, 2018

Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Bayesian Disease Progression Model for Clinical Trajectories.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018

3D Convolutional Neural Networks for Classification of Functional Connectomes.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

An Unsupervised Learning Model for Deformable Medical Image Registration.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Diffeomorphic functional brain surface alignment: Functional demons.
NeuroImage, 2017

Mid-space-independent deformable image registration.
NeuroImage, 2017

The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016).
Medical Image Anal., 2017

Guest editorial of the IJCARS MICCAI 2016 special issue.
Int. J. Comput. Assist. Radiol. Surg., 2017

Population Based Image Imputation.
Proceedings of the Information Processing in Medical Imaging, 2017

2015
Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study.
Neuroinformatics, 2015

Corrigendum to "Event time analysis of longitudinal neuroimage data" [NeuroImage 97 (15 August 2014) 9-18].
NeuroImage, 2015

An algorithm for optimal fusion of atlases with different labeling protocols.
NeuroImage, 2015

A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application.
NeuroImage, 2015

Corrigendum to "Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data" [NeuroImage 81 (1 November 2013) 358-370].
NeuroImage, 2015

Corrigendum to "Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models" [NeuroImage 66 (1 February 2013) 249-260].
NeuroImage, 2015

Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint.
NeuroImage, 2015

Multi-atlas segmentation of biomedical images: A survey.
Medical Image Anal., 2015

A Sparse Bayesian Learning Algorithm for Longitudinal Image Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Predictive Modeling of Anatomy with Genetic and Clinical Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Event time analysis of longitudinal neuroimage data.
NeuroImage, 2014

A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
On Removing Interpolation and Resampling Artifacts in Rigid Image Registration.
IEEE Trans. Image Process., 2013

Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data.
NeuroImage, 2013

Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.
NeuroImage, 2013

A unified framework for cross-modality multi-atlas segmentation of brain MRI.
Medical Image Anal., 2013

Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry.
Medical Image Anal., 2013

A Surface-based Analysis of Language Lateralization and Cortical Asymmetry.
J. Cogn. Neurosci., 2013

A Bayesian Algorithm for Image-Based Time-to-Event Prediction.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

On Feature Relevance in Image-Based Prediction Models: An Empirical Study.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

An Improved Optimization Method for the Relevance Voxel Machine.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Symmetric non-rigid image registration via an adaptive quasi-volume-preserving constraint.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Joint Modeling of Imaging and Genetics.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction.
IEEE Trans. Medical Imaging, 2012

Measuring and comparing brain cortical surface area and other areal quantities.
NeuroImage, 2012

The influence of head motion on intrinsic functional connectivity MRI.
NeuroImage, 2012

Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A Generative Model for Probabilistic Label Fusion of Multimodal Data.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

A generative model for multi-atlas segmentation across modalities.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Modeling anatomical heterogeneity in populations.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex.
IEEE Trans. Medical Imaging, 2010

Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration.
IEEE Trans. Medical Imaging, 2010

A Generative Model for Image Segmentation Based on Label Fusion.
IEEE Trans. Medical Imaging, 2010

Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

2009
Image-Driven Population Analysis Through Mixture Modeling.
IEEE Trans. Medical Imaging, 2009

Consistency Clustering: A Robust Algorithm for Group-wise Registration, Segmentation and Automatic Atlas Construction in Diffusion MRI.
Int. J. Comput. Vis., 2009

Task-Optimal Registration Cost Functions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Asymmetric Image-Template Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Supervised Nonparametric Image Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Image-Driven Population Analysis Through Mixture Modeling.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

A Unified Framework for MR Based Disease Classification.
Proceedings of the Information Processing in Medical Imaging, 2009

2008
Using Spanning Graphs for Efficient Image Registration.
IEEE Trans. Image Process., 2008

Effects of registration regularization and atlas sharpness on segmentation accuracy.
Medical Image Anal., 2008

Spherical Demons: Fast Surface Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Discovering Modes of an Image Population through Mixture Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Analysis of Surfaces Using Constrained Regression Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

A Robust Algorithm for Fiber-Bundle Atlas Construction.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

What Data to Co-register for Computing Atlases.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2005
Gradient Based Optimization of an EMST Image Registration Function.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Graph-theoretic image registration using prior examples.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Fast alignment of digital images using a lower bound on an entropy metric.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Spatial Information in Entropy-Based Image Registration.
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003


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