Mert R. Sabuncu

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 148

Top Venues

Publications

Batuhan K. Karaman, Mert R. Sabuncu
Assessing the Significance of Longitudinal Data in Alzheimer's Disease Forecasting. AIiH (1) (2024)
Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. CoRR (2024)
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
Robust Learning via Conditional Prevalence Adjustment. WACV (2024)
Batuhan K. Karaman, Mert R. Sabuncu
Assessing the significance of longitudinal data in Alzheimer's Disease forecasting. CoRR (2024)
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
A Framework for Interpretability in Machine Learning for Medical Imaging. IEEE Access 12 (2024)
Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns 5 (2) (2024)
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
Knockout: A simple way to handle missing inputs. CoRR (2024)
Batuhan K. Karaman, Katerina Dodelzon, Gözde B. Akar, Mert R. Sabuncu
Longitudinal Mammogram Risk Prediction. CoRR (2024)
Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. CoRR (2024)
Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. MIDL (2023)
Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. CoRR (2023)
Alan Wang, Minh Nguyen, Mert R. Sabuncu
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. NeurIPS (2023)
Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia, Mert R. Sabuncu
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model. DGM4MICCAI (2023)
Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR (2023)
Heejong Kim, Mert R. Sabuncu
Learning to Compare Longitudinal Images. CoRR (2023)
Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. CoRR (2023)
Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov
Semi-Parametric Inducing Point Networks and Neural Processes. ICLR (2023)
Heejong Kim, Mert R. Sabuncu
Learning to Compare Longitudinal Images. MIDL (2023)
Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia, Mert R. Sabuncu
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model. CoRR (2023)
Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
UniverSeg: Universal Medical Image Segmentation. ICCV (2023)
Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping. NeuroImage 268 (2023)
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes. DALI@MICCAI (2023)
Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
UniverSeg: Universal Medical Image Segmentation. CoRR (2023)
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes. CoRR (2023)
Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
A robust and interpretable deep learning framework for multi-modal registration via keypoints. Medical Image Anal. 90 (2023)
Xinzi He, Alan Q. Wang, Mert R. Sabuncu
Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing. MICCAI (8) (2023)
Xinzi He, Alan Wang, Mert R. Sabuncu
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing. CoRR (2023)
Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Hyper-convolutions via implicit kernels for medical image analysis. Medical Image Anal. 86 (2023)
George Zhou, Yunchan Chen, Candace Chien, Leslie Revatta, Jannatul Ferdous, Michelle Chen, Shourov Deb, Sol De Leon Cruz, Alan Wang, Benjamin Lee, Mert R. Sabuncu, William Browne, Herrick Wun, Bobak Mosadegh
Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis. npj Digit. Medicine 6 (2023)
Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. CoRR (2023)
Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
A Framework for Interpretability in Machine Learning for Medical Imaging. CoRR (2023)
Alan Q. Wang, Mert R. Sabuncu
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification. Trans. Mach. Learn. Res. 2023 (2023)
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
Robust Learning via Conditional Prevalence Adjustment. CoRR (2023)
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network. NeuroImage 248 (2022)
Tianyu Ma, Benjamin C. Lee, Mert R. Sabuncu
Label conditioned segmentation. MIDL (2022)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Computing Multiple Image Reconstructions with a Single Hypernetwork. CoRR (2022)
Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
Hyper-Convolution Networks for Biomedical Image Segmentation. WACV (2022)
Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Hyper-Convolutions via Implicit Kernels for Medical Imaging. CoRR (2022)
Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL (2022)
Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping. CoRR (2022)
Alan Q. Wang, Mert R. Sabuncu
A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification. CoRR (2022)
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries. CoRR (2022)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models. NeurIPS (2022)
Tianyu Ma, Benjamin C. Lee, Mert R. Sabuncu
Label conditioned segmentation. CoRR (2022)
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies. CoRR (2022)
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries. Medical Image Anal. 81 (2022)
Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski
Personalized visual encoding model construction with small data. CoRR (2022)
Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski
NeuroGen: Activation optimized image synthesis for discovery neuroscience. NeuroImage 247 (2022)
Richa Rastogi, Yuntian Deng, Ian Lee, Mert R. Sabuncu, Volodymyr Kuleshov
Semi-Parametric Deep Neural Networks in Linear Time and Memory. CoRR (2022)
Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. CoRR (2022)
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query. MICCAI (7) (2021)
Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. MICCAI (6) (2021)
Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
Hyper-Convolution Networks for Biomedical Image Segmentation. CoRR (2021)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. MLMIR@MICCAI (2021)
Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu
Ensembling Low Precision Models for Binary Biomedical Image Segmentation. WACV (2021)
Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert R. Sabuncu, Thanh D. Nguyen, Yi Wang
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction. MICCAI (6) (2021)
Jinwei Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping. MIDL (2021)
Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski
NeuroGen: activation optimized image synthesis for discovery neuroscience. CoRR (2021)
Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation. WACV (2021)
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query. CoRR (2021)
Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. CoRR (2021)
Zhilu Zhang, Vianne R. Gao, Mert R. Sabuncu
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks. CoRR (2021)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. CoRR (2021)
Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI. CoRR (2020)
Cagla Deniz Bahadir, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI. IEEE Trans. Computational Imaging 6 (2020)
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity. CoRR (2020)
Mert R. Sabuncu
Intelligence plays dice: Stochasticity is essential for machine learning. CoRR (2020)
Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation. CoRR (2020)
Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage 206 (2020)
Tianyu Ma, Ajay Gupta, Mert R. Sabuncu
Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural Network. ISBI (2020)
Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR (2020)
Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
Learning Conditional Deformable Shape Templates for Brain Anatomy. MLMI@MICCAI (2020)
Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR (2020)
Zhilu Zhang, Mert R. Sabuncu
Self-Distillation as Instance-Specific Label Smoothing. NeurIPS (2020)
Jinwei Zhang, Hang Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping. MIDL (2020)
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity. MICCAI (7) (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
A shared neural encoding model for the prediction of subject-specific fMRI response. CoRR (2020)
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation. CoRR (2020)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. MLMIR@MICCAI (2020)
Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response. MICCAI (7) (2020)
Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI. MLMIR@MICCAI (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Neural encoding with visual attention. NeurIPS (2020)
Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision. CoRR (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Neural encoding with visual attention. CoRR (2020)
Tianyu Ma, Ajay Gupta, Mert R. Sabuncu
Volumetric landmark detection with a multi-scale shift equivariant neural network. CoRR (2020)
Zhilu Zhang, Mert R. Sabuncu
Self-Distillation as Instance-Specific Label Smoothing. CoRR (2020)
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation. MIDL (2020)
Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. CoRR (2020)
Jinwei Zhang, Zhe Liu, Shun Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction. NeuroImage 211 (2020)
Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu
Ensembling Low Precision Models for Binary Biomedical Image Segmentation. CoRR (2020)
Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR (2019)
Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR (2019)
Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation. MICCAI (3) (2019)
Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
Learning Conditional Deformable Templates with Convolutional Networks. CoRR (2019)
Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout. CoRR (2019)
Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu
Adaptive Compressed Sensing MRI with Unsupervised Learning. CoRR (2019)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage 199 (2019)
Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mert R. Sabuncu