Mert R. Sabuncu
Orcid: 0000-0002-7068-719XAffiliations:
- Cornell University, Ithaca, USA
According to our database1,
Mert R. Sabuncu
authored at least 161 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
Patterns, 2024
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization.
CoRR, 2024
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing.
CoRR, 2024
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models.
CoRR, 2024
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.
CoRR, 2024
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration.
CoRR, 2024
IEEE Access, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024
2023
A robust and interpretable deep learning framework for multi-modal registration via keypoints.
Medical Image Anal., December, 2023
Medical Image Anal., May, 2023
LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping.
NeuroImage, March, 2023
Trans. Mach. Learn. Res., 2023
Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis.
npj Digit. Medicine, 2023
CoRR, 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes.
Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
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
Proceedings of the Eleventh International Conference on Learning Representations, 2023
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
NeuroImage, 2022
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries.
Medical Image Anal., 2022
CoRR, 2022
CoRR, 2022
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
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
2021
CoRR, 2021
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
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
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
IEEE Trans. Computational Imaging, 2020
NeuroImage, 2020
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
NeuroImage, 2020
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
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
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
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
CoRR, 2019
Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications.
Adv. Intell. Syst., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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
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
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Ensemble learning with 3D convolutional neural networks for connectome-based prediction.
CoRR, 2018
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
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
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
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
NeuroImage, 2017
The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016).
Medical Image Anal., 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Proceedings of the Information Processing in Medical Imaging, 2017
2015
Neuroinformatics, 2015
Corrigendum to "Event time analysis of longitudinal neuroimage data" [NeuroImage 97 (15 August 2014) 9-18].
NeuroImage, 2015
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
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
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
Medical Image Anal., 2013
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry.
Medical Image Anal., 2013
J. Cogn. Neurosci., 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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
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
NeuroImage, 2012
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
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
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
IEEE Trans. Medical Imaging, 2010
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
2008
IEEE Trans. Image Process., 2008
Medical Image Anal., 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
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
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003