Mert R. Sabuncu

233 papers A* 14A 5B 1Misc 1Journal 141Unranked 66

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Survival Model for Predicting Alzheimer's Diagnosis Based on Multi-Modal Longitudinal Data. Big Data Min. Anal. Batuhan K. Karaman, Minh Nguyen, Heejong Kim, Mert R. Sabuncu
2026	J	`jnl`	AI-Based Detection of In-Treatment Changes from Prostate MR-Linac Images. CoRR Seungbin Park, Peilin Wang, Ryan Pennell, Emily S. Weg, Himanshu Nagar, Timothy McClure, Mert R. Sabuncu, Daniel Margolis, Heejong Kim
2026	J	`jnl`	AtlasMorph: Learning conditional deformable templates for brain MRI. Medical Image Anal. Marianne Rakic, Andrew Hoopes, S. Mazdak Abulnaga, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2026	J	`jnl`	Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations. CoRR Heejong Kim, Abhishek Thanki, Roel van Herten, Daniel Margolis, Mert R. Sabuncu
2025	J	`jnl`	AI-assisted workflow enables rapid, high-fidelity breast cancer clinical trial eligibility prescreening. CoRR Jacob T. Rosenthal, Emma Hahesy, Sulov Chalise, Menglei Zhu, Mert R. Sabuncu, Lior Z. Braunstein, Anyi Li
2025	J	`jnl`	AtlasMorph: Learning conditional deformable templates for brain MRI. CoRR Marianne Rakic, Andrew Hoopes, S. Mazdak Abulnaga, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2025	J	`jnl`	BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia. CoRR Rachit Saluja, Arzu Kovanlikaya, Candace Chien, Lauren Kathryn Blatt, Jeffrey M. Perlman, Stefan Worgall, Mert R. Sabuncu, Jonathan P. Dyke
2025	J	`jnl`	BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation. CoRR Rachit Saluja, Asli Cihangir, Ruining Deng, Johannes C. Paetzold, Fengbei Liu, Mert R. Sabuncu
2025	J	`jnl`	Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding. CoRR Haomiao Chen, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski
2025	J	`jnl`	CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation. CoRR Ruining Deng, Yihe Yang, David J. Pisapia, Benjamin Liechty, Junchao Zhu, Juming Xiong, Junlin Guo, Zhengyi Lu, Jiacheng Wang, Xing Yao, Runxuan Yu, Rendong Zhang, Gaurav Rudravaram, Mengmeng Yin, Pinaki Sarder, Haichun Yang, Yuankai Huo, Mert R. Sabuncu
2025	J	`jnl`	Cancer Type, Stage and Prognosis Assessment from Pathology Reports using LLMs. CoRR Rachit Saluja, Jacob Rosenthal, Yoav Artzi, David J. Pisapia, Benjamin Liechty, Mert R. Sabuncu
2025	J	`jnl`	CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation. CoRR Hongjin Fang, Daniel Reisenbüchler, Kenji Ikemura, Mert R. Sabuncu, Yihe Yang, Ruining Deng
2025	J	`jnl`	DyMorph-B2I: Dynamic and Morphology-Guided Binary-to-Instance Segmentation for Renal Pathology. CoRR Leiyue Zhao, Yuechen Yang, Yanfan Zhu, Haichun Yang, Yuankai Huo, Paul Dennis Simonson, Kenji Ikemura, Mert R. Sabuncu, Yihe Yang, Ruining Deng
2025	—	`conf`	Fine-Tuning Vision Language Models with Graph-Based Knowledge for Explainable Medical Image Analysis. MICCAI (14) Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold
2025	J	`jnl`	Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis. CoRR Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold
2025	J	`jnl`	From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology. CoRR Zhenhao Guo, Rachit Saluja, Tianyuan Yao, Quan Liu, Junchao Zhu, Haibo Wang, Daniel Reisenbüchler, Yuankai Huo, Benjamin Liechty, David J. Pisapia, Kenji Ikemura, Steven Salvatoree, Surya Seshane, Mert R. Sabuncu, Yihe Yang, Ruining Deng
2025	—	`conf`	Generating Novel Brain Morphology by Deforming Learned Templates. MICCAI (2) Alan Q. Wang, Fangrui Huang, Bailey Trang, Wei Peng, Mohammad H. Abbasi, Kilian M. Pohl, Mert R. Sabuncu, Ehsan Adeli
2025	J	`jnl`	Glo-VLMs: Leveraging Vision-Language Models for Fine-Grained Diseased Glomerulus Classification. CoRR Zhenhao Guo, Rachit Saluja, Tianyuan Yao, Quan Liu, Yuankai Huo, Benjamin Liechty, David J. Pisapia, Kenji Ikemura, Mert R. Sabuncu, Yihe Yang, Ruining Deng
2025	J	`jnl`	IRS: Incremental Relationship-guided Segmentation for Digital Pathology. CoRR Ruining Deng, Junchao Zhu, Juming Xiong, Can Cui, Tianyuan Yao, Junlin Guo, Siqi Lu, Marilyn Lionts, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Yihe Yang, Paul Dennis Simonson, Mert R. Sabuncu, Haichun Yang, Yuankai Huo
2025	J	`jnl`	Knockout: A simple way to handle missing inputs. Trans. Mach. Learn. Res. Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
2025	A	`conf`	LLM-Generated Rewrite and Context Modulation for Enhanced Vision Language Models in Digital Pathology. WACV Cagla Deniz Bahadir, Gozde Bozdagi Akar, Mert R. Sabuncu
2025	J	`jnl`	M^3-GloDets: Multi-Region and Multi-Scale Analysis of Fine-Grained Diseased Glomerular Detection. CoRR Tianyu Shi, Xinzi He, Kenji Ikemura, Mert R. Sabuncu, Yihe Yang, Ruining Deng
2025	J	`jnl`	Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion. CoRR Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma, Jue Jiang, Ergys D. Subashi, William P. Segars, James M. Balter, Mert R. Sabuncu, Neelam Tyagi, Harini Veeraraghavan
2025	J	`jnl`	NeuroVolve: Evolving Visual Stimuli toward Programmable Neural Objectives. CoRR Haomiao Chen, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski
2025	A*	`conf`	POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization. ICML Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim, Vishrav Chaudhary, Mert R. Sabuncu, Xia Song
2025	J	`jnl`	RealKeyMorph: Keypoints in Real-world Coordinates for Resolution-agnostic Image Registration. CoRR Mina C. Moghadam, Alan Q. Wang, Omer Taub, Martin R. Prince, Mert R. Sabuncu
2025	J	`jnl`	Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems. npj Digit. Medicine Jacob Rosenthal, Ashley Beecy, Mert R. Sabuncu
2024	J	`jnl`	A Framework for Interpretability in Machine Learning for Medical Imaging. IEEE Access Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
2024	—	`conf`	Adapting to Shifting Correlations with Unlabeled Data Calibration. ECCV (87) Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2024	J	`jnl`	Adapting to Shifting Correlations with Unlabeled Data Calibration. CoRR Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2024	—	`conf`	Assessing the Significance of Longitudinal Data in Alzheimer's Disease Forecasting. AIiH (1) Batuhan K. Karaman, Mert R. Sabuncu
2024	J	`jnl`	Assessing the significance of longitudinal data in Alzheimer's Disease forecasting. CoRR Batuhan K. Karaman, Mert R. Sabuncu
2024	J	`jnl`	BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration. CoRR Alan Q. Wang, Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu
2024	J	`jnl`	Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models. CoRR Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu
2024	J	`jnl`	Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing. CoRR Minh Nguyen, Mert R. Sabuncu
2024	J	`jnl`	Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing. Trans. Mach. Learn. Res. Minh Nguyen, Mert R. Sabuncu
2024	J	`jnl`	Knockout: A simple way to handle missing inputs. CoRR Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
2024	J	`jnl`	Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
2024	—	`conf`	Longitudinal Mammogram Risk Prediction. MICCAI (5) Batuhan K. Karaman, Katerina Dodelzon, Gözde Bozdagi Akar, Mert R. Sabuncu
2024	J	`jnl`	Longitudinal Mammogram Risk Prediction. CoRR Batuhan K. Karaman, Katerina Dodelzon, Gözde B. Akar, Mert R. Sabuncu
2024	J	`jnl`	POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization. CoRR Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim, Vishrav Chaudhary, Mert R. Sabuncu, Xia Song
2024	A	`conf`	Robust Learning via Conditional Prevalence Adjustment. WACV Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2024	J	`jnl`	The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. CoRR 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
2023	J	`jnl`	A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification. Trans. Mach. Learn. Res. Alan Q. Wang, Mert R. Sabuncu
2023	J	`jnl`	A Framework for Interpretability in Machine Learning for Medical Imaging. CoRR Alan Q. Wang, Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young, Mert R. Sabuncu
2023	J	`jnl`	A robust and interpretable deep learning framework for multi-modal registration via keypoints. CoRR Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	A robust and interpretable deep learning framework for multi-modal registration via keypoints. Medical Image Anal. Alan Q. Wang, Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
2023	—	`conf`	Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model. DGM4MICCAI Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia, Mert R. Sabuncu
2023	J	`jnl`	Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model. CoRR Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia, Mert R. Sabuncu
2023	—	`conf`	Decoding natural image stimuli from fMRI data with a surface-based convolutional network. MIDL Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2023	J	`jnl`	Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis. npj Digit. Medicine 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
2023	—	`conf`	Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. CoRR Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	Hyper-convolutions via implicit kernels for medical image analysis. Medical Image Anal. Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2023	J	`jnl`	LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping. NeuroImage Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
2023	A*	`conf`	Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. NeurIPS Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu
2023	J	`jnl`	Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. CoRR Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu
2023	—	`conf`	Learning to Compare Longitudinal Images. MIDL Heejong Kim, Mert R. Sabuncu
2023	J	`jnl`	Learning to Compare Longitudinal Images. CoRR Heejong Kim, Mert R. Sabuncu
2023	J	`jnl`	Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing. CoRR Xinzi He, Alan Wang, Mert R. Sabuncu
2023	—	`conf`	Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing. MICCAI (8) Xinzi He, Alan Q. Wang, Mert R. Sabuncu
2023	J	`jnl`	Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang
2023	J	`jnl`	Robust Learning via Conditional Prevalence Adjustment. CoRR Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2023	A*	`conf`	Semi-Parametric Inducing Point Networks and Neural Processes. ICLR Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov
2023	A*	`conf`	UniverSeg: Universal Medical Image Segmentation. ICCV Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2023	J	`jnl`	UniverSeg: Universal Medical Image Segmentation. CoRR Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2023	—	`conf`	Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes. DALI@MICCAI Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
2023	J	`jnl`	Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes. CoRR Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
2022	J	`jnl`	A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification. CoRR Alan Q. Wang, Mert R. Sabuncu
2022	J	`jnl`	A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries. CoRR Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2022	J	`jnl`	A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries. Medical Image Anal. Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2022	A*	`conf`	Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models. NeurIPS Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2022	J	`jnl`	Computing Multiple Image Reconstructions with a Single Hypernetwork. CoRR Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2022	J	`jnl`	Decoding natural image stimuli from fMRI data with a surface-based convolutional network. CoRR Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2022	J	`jnl`	GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies. CoRR Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
2022	A	`conf`	Hyper-Convolution Networks for Biomedical Image Segmentation. WACV Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
2022	J	`jnl`	Hyper-Convolutions via Implicit Kernels for Medical Imaging. CoRR Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2022	—	`conf`	KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2022	J	`jnl`	LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping. CoRR Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
2022	—	`conf`	Label conditioned segmentation. MIDL Tianyu Ma, Benjamin C. Lee, Mert R. Sabuncu
2022	J	`jnl`	Label conditioned segmentation. CoRR Tianyu Ma, Benjamin C. Lee, Mert R. Sabuncu
2022	J	`jnl`	NeuroGen: Activation optimized image synthesis for discovery neuroscience. NeuroImage Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski
2022	J	`jnl`	Personalized visual encoding model construction with small data. CoRR Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski
2022	J	`jnl`	Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network. NeuroImage Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2022	J	`jnl`	Semi-Parametric Deep Neural Networks in Linear Time and Memory. CoRR Richa Rastogi, Yuntian Deng, Ian Lee, Mert R. Sabuncu, Volodymyr Kuleshov
2021	A	`conf`	Ensembling Low Precision Models for Binary Biomedical Image Segmentation. WACV Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu
2021	J	`jnl`	Ex uno plures: Splitting One Model into an Ensemble of Subnetworks. CoRR Zhilu Zhang, Vianne R. Gao, Mert R. Sabuncu
2021	—	`conf`	Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping. MIDL Jinwei Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
2021	J	`jnl`	Hyper-Convolution Networks for Biomedical Image Segmentation. CoRR Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu
2021	—	`conf`	HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. MLMIR@MICCAI Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2021	—	`conf`	Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. MICCAI (6) Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu
2021	J	`jnl`	Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy. CoRR Alan Q. Wang, Aaron K. LaViolette, Leo Moon, Chris Xu, Mert R. Sabuncu
2021	J	`jnl`	NeuroGen: activation optimized image synthesis for discovery neuroscience. CoRR Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski
2021	A	`conf`	Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation. WACV Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun
2021	J	`jnl`	Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. CoRR Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2021	—	`conf`	Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction. MICCAI (6) Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert R. Sabuncu, Thanh D. Nguyen, Yi Wang
2021	—	`conf`	Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query. MICCAI (7) Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2021	J	`jnl`	Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query. CoRR Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2020	—	`conf`	A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response. MICCAI (7) Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2020	J	`jnl`	A shared neural encoding model for the prediction of subject-specific fMRI response. CoRR Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2020	—	`conf`	An Auto-Encoder Strategy for Adaptive Image Segmentation. MIDL Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	An Auto-Encoder Strategy for Adaptive Image Segmentation. CoRR Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu
2020	—	`conf`	Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping. MIDL Jinwei Zhang, Hang Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
2020	J	`jnl`	Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
2020	J	`jnl`	Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI. IEEE Trans. Computational Imaging Cagla Deniz Bahadir, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	Ensembling Low Precision Models for Binary Biomedical Image Segmentation. CoRR Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu
2020	—	`conf`	Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI. MLMIR@MICCAI Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
2020	J	`jnl`	Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI. CoRR Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
2020	J	`jnl`	Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction. NeuroImage Jinwei Zhang, Zhe Liu, Shun Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
2020	—	`conf`	From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity. MICCAI (7) Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2020	J	`jnl`	From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity. CoRR Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2020	J	`jnl`	Intelligence plays dice: Stochasticity is essential for machine learning. CoRR Mert R. Sabuncu
2020	—	`conf`	Learning Conditional Deformable Shape Templates for Brain Anatomy. MLMI@MICCAI Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision. CoRR Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun
2020	—	`conf`	Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data. MLMIR@MICCAI Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2020	J	`jnl`	Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. CoRR Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu
2020	A*	`conf`	Neural encoding with visual attention. NeurIPS Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2020	J	`jnl`	Neural encoding with visual attention. CoRR Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2020	J	`jnl`	Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
2020	J	`jnl`	RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation. CoRR Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
2020	A*	`conf`	Self-Distillation as Instance-Specific Label Smoothing. NeurIPS Zhilu Zhang, Mert R. Sabuncu
2020	J	`jnl`	Self-Distillation as Instance-Specific Label Smoothing. CoRR Zhilu Zhang, Mert R. Sabuncu
2020	A*	`conf`	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
2020	J	`jnl`	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
2020	—	`conf`	Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural Network. ISBI Tianyu Ma, Ajay Gupta, Mert R. Sabuncu
2020	J	`jnl`	Volumetric landmark detection with a multi-scale shift equivariant neural network. CoRR Tianyu Ma, Ajay Gupta, Mert R. Sabuncu
2019	—	`conf`	A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain Structures. ISBI Evan M. Yu, Mert R. Sabuncu
2019	J	`jnl`	Adaptive Compressed Sensing MRI with Unsupervised Learning. CoRR Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu
2019	J	`jnl`	Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Confidence Calibration for Convolutional Neural Networks Using Structured Dropout. CoRR Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu
2019	—	`conf`	Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach. MLMI@MICCAI Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2019	—	`conf`	Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS. MICCAI (5) Yingying Zhu, Jodi M. Gilman, Anne Eden Evins, Mert R. Sabuncu
2019	J	`jnl`	Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. CoRR Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2019	J	`jnl`	Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2019	J	`jnl`	Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation. CoRR Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca
2019	J	`jnl`	Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage Jingwei Li, Ru Kong, Raphaël Liégeois, Csaba Orban, Yanrui Tan, Nanbo Sun, Avram J. Holmes, Mert R. Sabuncu, Tian Ge, B. T. Thomas Yeo
2019	J	`jnl`	Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications. Adv. Intell. Syst. Jun Liu, Gurpreet Singh, Subhi Al'Aref, Benjamin C. Lee, Olachi Oleru, James K. Min, Simon Dunham, Mert R. Sabuncu, Bobak Mosadegh
2019	A*	`conf`	Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Learning Conditional Deformable Templates with Convolutional Networks. CoRR Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu
2019	—	`conf`	Learning-Based Optimization of the Under-Sampling Pattern in MRI. IPMI Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu
2019	J	`jnl`	Learning-based Optimization of the Under-sampling Pattern in MRI. CoRR Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu
2019	J	`jnl`	Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2019	J	`jnl`	Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease. NeuroImage Nanbo Sun, Elizabeth C. Mormino, Jianzhong Chen, Mert R. Sabuncu, B. T. Thomas Yeo, Alzheimer's Disease Neuroimaging Initiative
2019	—	`conf`	RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation. MICCAI (3) Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
2019	J	`jnl`	Unsupervised Data Imputation via Variational Inference of Deep Subspaces. CoRR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2019	—	`conf`	Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
2019	J	`jnl`	Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias
2019	J	`jnl`	Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2019	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	—	`conf`	3D Convolutional Neural Networks for Classification of Functional Connectomes. DLMIA/ML-CDS@MICCAI Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2018	J	`jnl`	3D Convolutional Neural Networks for Classification of Functional Connectomes. CoRR Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2018	—	`conf`	A Bayesian Disease Progression Model for Clinical Trajectories. GRAIL/Beyond-MIC@MICCAI Yingying Zhu, Mert R. Sabuncu
2018	J	`jnl`	A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures. CoRR Evan M. Yu, Mert R. Sabuncu
2018	J	`jnl`	A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome. CoRR Yingying Zhu, Mert R. Sabuncu
2018	A*	`conf`	An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	J	`jnl`	An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2018	A*	`conf`	Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CVPR Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models. CoRR Mohammad Haft-Javaherian, Linjing Fang, Victorine P. Muse, Chris B. Schaffer, Nozomi Nishimura, Mert R. Sabuncu
2018	J	`jnl`	Ensemble learning with 3D convolutional neural networks for connectome-based prediction. CoRR Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2018	A*	`conf`	Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels. NeurIPS Zhilu Zhang, Mert R. Sabuncu
2018	J	`jnl`	Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels. CoRR Zhilu Zhang, Mert R. Sabuncu
2018	—	`ed.`	Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings GRAIL/Beyond-MIC@MICCAI Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen
2018	—	`conf`	Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? PRNI Tong He, Ru Kong, Avram J. Holmes, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
2018	J	`jnl`	Machine learning in resting-state fMRI analysis. CoRR Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu
2018	J	`jnl`	Medical Image Imputation from Image Collections. CoRR Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2018	—	`conf`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu
2018	J	`jnl`	VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca
2017	J	`jnl`	Diffeomorphic functional brain surface alignment: Functional demons. NeuroImage Karl-Heinz Nenning, Hesheng Liu, Satrajit S. Ghosh, Mert R. Sabuncu, Ernst Schwartz, Georg Langs
2017	—	`ed.`	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings GRAIL/MFCA/MICGen@MICCAI M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017	J	`jnl`	Guest editorial of the IJCARS MICCAI 2016 special issue. Int. J. Comput. Assist. Radiol. Surg. Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier
2017	—	`conf`	Population Based Image Imputation. IPMI Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
2017	J	`jnl`	The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Anal. Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier
2016	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I MICCAI (1) Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III
2016	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II MICCAI (2) Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III
2016	—	`ed.`	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III MICCAI (3) Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III
2015	—	`conf`	A Sparse Bayesian Learning Algorithm for Longitudinal Image Data. MICCAI (3) Mert R. Sabuncu
2015	J	`jnl`	A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application. NeuroImage Tian Ge, Thomas E. Nichols, Debashis Ghosh, Elizabeth C. Mormino, Jordan W. Smoller, Mert R. Sabuncu
2015	J	`jnl`	Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint. NeuroImage Iman Aganj, Martin Reuter, Mert R. Sabuncu, Bruce Fischl
2015	J	`jnl`	Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study. Neuroinformatics Mert R. Sabuncu, Ender Konukoglu
2015	J	`jnl`	Corrigendum to "Event time analysis of longitudinal neuroimage data" [NeuroImage 97 (15 August 2014) 9-18]. NeuroImage Mert R. Sabuncu, Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl
2015	J	`jnl`	Corrigendum to "Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data" [NeuroImage 81 (1 November 2013) 358-370]. NeuroImage Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl, Mert R. Sabuncu
2015	J	`jnl`	Corrigendum to "Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models" [NeuroImage 66 (1 February 2013) 249-260]. NeuroImage Jorge L. Bernal-Rusiel, Douglas N. Greve, Martin Reuter, Bruce Fischl, Mert R. Sabuncu
2015	—	`conf`	Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration. MICCAI (2) Iman Aganj, Juan Eugenio Iglesias, Martin Reuter, Mert R. Sabuncu, Bruce Fischl
2015	J	`jnl`	Multi-atlas segmentation of biomedical images: A survey. Medical Image Anal. Juan Eugenio Iglesias, Mert R. Sabuncu
2015	—	`conf`	Predictive Modeling of Anatomy with Genetic and Clinical Data. MICCAI (3) Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland
2014	—	`conf`	A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth. MICCAI (1) Koenraad Van Leemput, Mert R. Sabuncu
2014	—	`conf`	A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models. MICCAI (3) Mert R. Sabuncu
2014	J	`jnl`	Event time analysis of longitudinal neuroimage data. NeuroImage Mert R. Sabuncu, Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl
2014	—	`conf`	Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. MICCAI (2) Adrian Vasile Dalca, Ramesh Sridharan, Lisa Cloonan, Kaitlin M. Fitzpatrick, Allison Kanakis, Karen L. Furie, Jonathan Rosand, Ona Wu, Mert R. Sabuncu, Natalia S. Rost, Polina Golland
2013	—	`conf`	A Bayesian Algorithm for Image-Based Time-to-Event Prediction. MLMI Mert R. Sabuncu
2013	—	`conf`	A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion. MICCAI (3) Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2013	J	`jnl`	A Surface-based Analysis of Language Lateralization and Cortical Asymmetry. J. Cogn. Neurosci. Douglas N. Greve, Lise Van der Haegen, Qing Cai, Steven M. Stufflebeam, Mert R. Sabuncu, Bruce Fischl, Marc Brysbaert
2013	—	`conf`	An Improved Optimization Method for the Relevance Voxel Machine. MLMI Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput
2013	J	`jnl`	Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry. Medical Image Anal. Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2013	—	`conf`	Joint Modeling of Imaging and Genetics. IPMI Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland
2013	—	`conf`	On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu
2013	J	`jnl`	On Removing Interpolation and Resampling Artifacts in Rigid Image Registration. IEEE Trans. Image Process. Iman Aganj, B. T. Thomas Yeo, Mert R. Sabuncu, Bruce Fischl
2013	J	`jnl`	Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data. NeuroImage Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl, Mert R. Sabuncu
2013	J	`jnl`	Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models. NeuroImage Jorge L. Bernal-Rusiel, Douglas N. Greve, Martin Reuter, Bruce Fischl, Mert R. Sabuncu
2013	—	`conf`	Symmetric non-rigid image registration via an adaptive quasi-volume-preserving constraint. ISBI Iman Aganj, Martin Reuter, Mert R. Sabuncu, Bruce Fischl
2012	—	`conf`	A Generative Model for Probabilistic Label Fusion of Multimodal Data. MBIA Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2012	—	`conf`	A generative model for multi-atlas segmentation across modalities. ISBI Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2012	—	`conf`	Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry. MICCAI (3) Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput
2012	J	`jnl`	Measuring and comparing brain cortical surface area and other areal quantities. NeuroImage Anderson M. Winkler, Mert R. Sabuncu, B. T. Thomas Yeo, Bruce Fischl, Douglas N. Greve, Peter V. Kochunov, Thomas E. Nichols, John Blangero, David C. Glahn
2012	J	`jnl`	The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction. IEEE Trans. Medical Imaging Mert R. Sabuncu, Koen Van Leemput
2012	J	`jnl`	The influence of head motion on intrinsic functional connectivity MRI. NeuroImage Koene R. A. Van Dijk, Mert R. Sabuncu, Randy L. Buckner
2011	Misc	`conf`	Modeling anatomical heterogeneity in populations. ICASSP Polina Golland, Mert R. Sabuncu
2011	—	`conf`	The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. MICCAI (3) Mert R. Sabuncu, Koen Van Leemput
2010	J	`jnl`	A Generative Model for Image Segmentation Based on Label Fusion. IEEE Trans. Medical Imaging Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, Bruce Fischl, Polina Golland
2010	J	`jnl`	Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex. IEEE Trans. Medical Imaging B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne J. Holt, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl
2010	—	`conf`	Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation. STACOM/CESC Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, Reza Nezafat, Ehud J. Schmidt, Polina Golland
2010	J	`jnl`	Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration. IEEE Trans. Medical Imaging B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland
2009	—	`conf`	A Unified Framework for MR Based Disease Classification. IPMI Kilian M. Pohl, Mert R. Sabuncu
2009	—	`conf`	Asymmetric Image-Template Registration. MICCAI (1) Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland
2009	J	`jnl`	Consistency Clustering: A Robust Algorithm for Group-wise Registration, Segmentation and Automatic Atlas Construction in Diffusion MRI. Int. J. Comput. Vis. Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, Carl-Fredrik Westin
2009	—	`conf`	Image-Driven Population Analysis Through Mixture Modeling. ISBI Mert R. Sabuncu
2009	J	`jnl`	Image-Driven Population Analysis Through Mixture Modeling. IEEE Trans. Medical Imaging Mert R. Sabuncu, Serdar K. Balci, Martha Elizabeth Shenton, Polina Golland
2009	—	`conf`	Supervised Nonparametric Image Parcellation. MICCAI (1) Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland
2009	—	`conf`	Task-Optimal Registration Cost Functions. MICCAI (1) B. T. Thomas Yeo, Mert R. Sabuncu, Polina Golland, Bruce Fischl
2008	—	`conf`	Analysis of Surfaces Using Constrained Regression Models. MICCAI (1) Sune Darkner, Mert R. Sabuncu, Polina Golland, Rasmus R. Paulsen, Rasmus Larsen
2008	—	`conf`	Discovering Modes of an Image Population through Mixture Modeling. MICCAI (2) Mert R. Sabuncu, Serdar K. Balci, Polina Golland
2008	J	`jnl`	Effects of registration regularization and atlas sharpness on segmentation accuracy. Medical Image Anal. B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland
2008	—	`conf`	Spherical Demons: Fast Surface Registration. MICCAI (1) B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland
2008	J	`jnl`	Using Spanning Graphs for Efficient Image Registration. IEEE Trans. Image Process. Mert R. Sabuncu, Peter J. Ramadge
2007	A*	`conf`	A Robust Algorithm for Fiber-Bundle Atlas Construction. ICCV Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, Carl-Fredrik Westin
2007	—	`conf`	Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy. MICCAI (1) B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland
2007	—	`conf`	Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles. MICCAI (1) Ulas Ziyan, Mert R. Sabuncu, Lauren O'Donnell, Carl-Fredrik Westin
2007	A*	`conf`	What Data to Co-register for Computing Atlases. ICCV B. T. Thomas Yeo, Mert R. Sabuncu, Hartmut Mohlberg, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl
2005	—	`conf`	Gradient Based Optimization of an EMST Image Registration Function. ICASSP (2) Mert R. Sabuncu, Peter J. Ramadge
2004	B	`conf`	Fast alignment of digital images using a lower bound on an entropy metric. ICIP Mert R. Sabuncu, Peter J. Ramadge
2003	—	`conf`	Spatial Information in Entropy-Based Image Registration. WBIR Mert R. Sabuncu, Peter J. Ramadge