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ORCIDMert R. Sabuncu
Mert Rory Sabuncu
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- affiliation: Cornell University, Ithaca, USA
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2020 – today
- 2024
[j49]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: 53277-53292 (2024)- [j48]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): 100913 (2024) - [c85]Batuhan K. Karaman, Mert R. Sabuncu:
Assessing the Significance of Longitudinal Data in Alzheimer's Disease Forecasting. AIiH (1) 2024: 3-16 - [c84]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Adapting to Shifting Correlations with Unlabeled Data Calibration. ECCV (87) 2024: 230-246 - [c83]Batuhan K. Karaman, Katerina Dodelzon, Gözde Bozdagi Akar, Mert R. Sabuncu:
Longitudinal Mammogram Risk Prediction. MICCAI (5) 2024: 437-446 - [c82]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Robust Learning via Conditional Prevalence Adjustment. WACV 2024: 2729-2738 - [i72]Batuhan K. Karaman, Katerina Dodelzon, Gözde B. Akar, Mert R. Sabuncu:
Longitudinal Mammogram Risk Prediction. CoRR abs/2404.19083 (2024) - [i71]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 abs/2405.14019 (2024) - [i70]Batuhan K. Karaman, Mert R. Sabuncu:
Assessing the significance of longitudinal data in Alzheimer's Disease forecasting. CoRR abs/2405.17352 (2024) - [i69]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 abs/2405.18368 (2024) - [i68]Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu:
Knockout: A simple way to handle missing inputs. CoRR abs/2405.20448 (2024) - [i67]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Adapting to Shifting Correlations with Unlabeled Data Calibration. CoRR abs/2409.05996 (2024) - [i66]Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu:
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models. CoRR abs/2409.08143 (2024) - [i65]Minh Nguyen, Mert R. Sabuncu:
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing. CoRR abs/2409.12797 (2024) - [i64]Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim, Vishrav Chaudhary, Mert R. Sabuncu, Xia Song:
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization. CoRR abs/2410.12999 (2024) - 2023
- [j47]Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-convolutions via implicit kernels for medical image analysis. Medical Image Anal. 86: 102796 (2023) - [j46]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: 102962 (2023) - [j45]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: 119886 (2023) - [j44]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) - [j43]Alan Q. Wang, Mert R. Sabuncu:
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification. Trans. Mach. Learn. Res. 2023 (2023) - [c81]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: 21381-21394 - [c80]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 - [c79]Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu:
Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes. DALI@MICCAI 2023: 12-22 - [c78]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: 121-131 - [c77]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: 140-150 - [c76]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: 258-267 - [c75]Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. MIDL 2023: 107-118 - [c74]Heejong Kim, Mert R. Sabuncu:
Learning to Compare Longitudinal Images. MIDL 2023: 350-367 - [c73]Alan Wang, Minh Nguyen, Mert R. Sabuncu:
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. NeurIPS 2023 - [i63]Xinzi He, Alan Wang, Mert R. Sabuncu:
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing. CoRR abs/2303.12148 (2023) - [i62]Heejong Kim, Mert R. Sabuncu:
Learning to Compare Longitudinal Images. CoRR abs/2304.02531 (2023) - [i61]Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
UniverSeg: Universal Medical Image Segmentation. CoRR abs/2304.06131 (2023) - [i60]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 abs/2304.09941 (2023) - [i59]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 abs/2305.06217 (2023) - [i58]Heejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu:
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging. CoRR abs/2307.03266 (2023) - [i57]Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu:
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. CoRR abs/2309.13377 (2023) - [i56]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 abs/2310.01685 (2023) - [i55]Cagla Deniz Bahadir, Benjamin Liechty, David J. Pisapia, Mert R. Sabuncu:
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model. CoRR abs/2310.03893 (2023) - [i54]Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu:
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes. CoRR abs/2310.14105 (2023) - [i53]Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu:
Robust Learning via Conditional Prevalence Adjustment. CoRR abs/2310.15766 (2023) - 2022
- [j42]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: 102540 (2022) - [j41]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: 118812 (2022) - [j40]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: 118849 (2022) - [c72]Tianyu Ma, Benjamin C. Lee, Mert R. Sabuncu:
Label conditioned segmentation. MIDL 2022: 847-857 - [c71]Evan M. Yu, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection. MIDL 2022: 1482-1503 - [c70]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models. NeurIPS 2022 - [c69]Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolution Networks for Biomedical Image Segmentation. WACV 2022: 1989-1998 - [i52]Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski:
Personalized visual encoding model construction with small data. CoRR abs/2202.02245 (2022) - [i51]Tianyu Ma, Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolutions via Implicit Kernels for Medical Imaging. CoRR abs/2202.02701 (2022) - [i50]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Computing Multiple Image Reconstructions with a Single Hypernetwork. CoRR abs/2202.11009 (2022) - [i49]Tianyu Ma, Benjamin C. Lee, Mert R. Sabuncu:
Label conditioned segmentation. CoRR abs/2203.10091 (2022) - [i48]Richa Rastogi, Yuntian Deng, Ian Lee, Mert R. Sabuncu, Volodymyr Kuleshov:
Semi-Parametric Deep Neural Networks in Linear Time and Memory. CoRR abs/2205.11718 (2022) - [i47]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 abs/2208.00840 (2022) - [i46]Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu:
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies. CoRR abs/2210.07416 (2022) - [i45]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 abs/2211.00725 (2022) - [i44]Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. CoRR abs/2212.02409 (2022) - [i43]Alan Q. Wang, Mert R. Sabuncu:
A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification. CoRR abs/2212.03411 (2022) - 2021
- [c68]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks. MLMIR@MICCAI 2021: 3-13 - [c67]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: 129-139 - [c66]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: 232-242 - [c65]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: 605-614 - [c64]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: 870-880 - [c63]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: 325-334 - [c62]Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun:
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation. WACV 2021: 707-716 - [i42]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks. CoRR abs/2101.02194 (2021) - [i41]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 abs/2105.07140 (2021) - [i40]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 abs/2105.07961 (2021) - [i39]Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu:
Hyper-Convolution Networks for Biomedical Image Segmentation. CoRR abs/2105.10559 (2021) - [i38]Zhilu Zhang, Vianne R. Gao, Mert R. Sabuncu:
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks. CoRR abs/2106.04767 (2021) - [i37]Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu:
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query. CoRR abs/2109.13814 (2021) - 2020
- [j39]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) - [j38]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: 116579 (2020) - [j37]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: 1139-1152 (2020) - [c61]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: 13853-13863 - [c60]Tianyu Ma, Ajay Gupta, Mert R. Sabuncu:
Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural Network. ISBI 2020: 981-985 - [c59]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: 27-37 - [c58]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: 62-71 - [c57]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: 91-101 - [c56]Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu:
Learning Conditional Deformable Shape Templates for Brain Anatomy. MLMI@MICCAI 2020: 353-362 - [c55]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: 539-548 - [c54]Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu:
An Auto-Encoder Strategy for Adaptive Image Segmentation. MIDL 2020: 881-891 - [c53]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: 892-902 - [c52]Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Neural encoding with visual attention. NeurIPS 2020 - [c51]Zhilu Zhang, Mert R. Sabuncu:
Self-Distillation as Instance-Specific Label Smoothing. NeurIPS 2020 - [i36]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 abs/2002.12470 (2020) - [i35]Tianyu Ma, Ajay Gupta, Mert R. Sabuncu:
Volumetric landmark detection with a multi-scale shift equivariant neural network. CoRR abs/2003.01639 (2020) - [i34]Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu:
An Auto-Encoder Strategy for Adaptive Image Segmentation. CoRR abs/2004.13903 (2020) - [i33]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 abs/2006.00080 (2020) - [i32]Zhilu Zhang, Mert R. Sabuncu:
Self-Distillation as Instance-Specific Label Smoothing. CoRR abs/2006.05065 (2020) - [i31]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 abs/2006.15802 (2020) - [i30]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 abs/2007.14450 (2020) - [i29]Alan Q. Wang, Adrian V. Dalca, Mert R. Sabuncu:
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data. CoRR abs/2007.14979 (2020) - [i28]Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun:
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision. CoRR abs/2007.15857 (2020) - [i27]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 abs/2008.02961 (2020) - [i26]Mert R. Sabuncu:
Intelligence plays dice: Stochasticity is essential for machine learning. CoRR abs/2008.07496 (2020) - [i25]Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Neural encoding with visual attention. CoRR abs/2010.00516 (2020) - [i24]Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR abs/2010.04757 (2020) - [i23]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 abs/2010.08648 (2020)
2010 – 2019
- 2019
- [j36]Jun Liu, Gurpreet Singh, Subhi Al'Aref, Benjamin C. Lee, Olachi Oleru, James K. Min, Simon Dunham, Mert R. Sabuncu, Bobak Mosadegh:
Image Registration in Medical Robotics and Intelligent Systems: Fundamentals and Applications. Adv. Intell. Syst. 1(6): 1900048 (2019) - [j35]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Medical Image Anal. 57: 226-236 (2019) - [j34]Jingwei Li, Ru Kong, Raphaël Liégeois, Csaba Orban, Yanrui Tan, Nanbo Sun, Avram J. Holmes, Mert R. Sabuncu, Tian Ge, B. T. Thomas Yeo:
Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage 196: 126-141 (2019) - [j33]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage 199: 651-662 (2019) - [j32]Nanbo Sun, Elizabeth C. Mormino, Jianzhong Chen, Mert R. Sabuncu, B. T. Thomas Yeo, Alzheimer's Disease Neuroimaging Initiative:
Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease. NeuroImage 201 (2019) - [j31]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38(2): 504-514 (2019) - [j30]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. IEEE Trans. Medical Imaging 38(8): 1788-1800 (2019) - [c50]Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Learning-Based Optimization of the Under-Sampling Pattern in MRI. IPMI 2019: 780-792 - [c49]Evan M. Yu, Mert R. Sabuncu:
A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain Structures. ISBI 2019: 1559-1562 - [c48]Yingying Zhu, Jodi M. Gilman, Anne Eden Evins, Mert R. Sabuncu:
Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS. MICCAI (5) 2019: 146-154 - [c47]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach. MLMI@MICCAI 2019: 301-309 - [c46]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: 356-365 - [c45]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: 411-419 - [c44]Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. NeurIPS 2019: 804-816 - [i22]Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Learning-based Optimization of the Under-sampling Pattern in MRI. CoRR abs/1901.01960 (2019) - [i21]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CoRR abs/1903.03148 (2019) - [i20]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Unsupervised Data Imputation via Variational Inference of Deep Subspaces. CoRR abs/1903.03503 (2019) - [i19]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. CoRR abs/1903.03545 (2019) - [i18]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 abs/1904.11319 (2019) - [i17]Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu:
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout. CoRR abs/1906.09551 (2019) - [i16]Cagla Deniz Bahadir, Adrian V. Dalca, Mert R. Sabuncu:
Adaptive Compressed Sensing MRI with Unsupervised Learning. CoRR abs/1907.11374 (2019) - [i15]Adrian V. Dalca, Marianne Rakic, John V. Guttag, Mert R. Sabuncu:
Learning Conditional Deformable Templates with Convolutional Networks. CoRR abs/1908.02738 (2019) - [i14]Hyeon Woo Lee, Mert R. Sabuncu, Adrian V. Dalca:
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation. CoRR abs/1908.04466 (2019) - [i13]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. CoRR abs/1908.06168 (2019) - 2018
- [c43]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CVPR 2018: 9252-9260 - [c42]Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. CVPR 2018: 9290-9299 - [c41]Yingying Zhu, Mert R. Sabuncu:
A Bayesian Disease Progression Model for Clinical Trajectories. GRAIL/Beyond-MIC@MICCAI 2018: 57-65 - [c40]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
3D Convolutional Neural Networks for Classification of Functional Connectomes. DLMIA/ML-CDS@MICCAI 2018: 137-145 - [c39]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. MICCAI (1) 2018: 729-738 - [c38]Zhilu Zhang, Mert R. Sabuncu:
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels. NeurIPS 2018: 8792-8802 - [c37]Tong He, Ru Kong, Avram J. Holmes, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo:
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence? PRNI 2018: 1-4 - [e5]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:
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. Lecture Notes in Computer Science 11044, Springer 2018, ISBN 978-3-030-00688-4 [contents] - [i12]Mohammad Haft-Javaherian, Linjing Fang, Victorine P. Muse, Chris B. Schaffer, Nozomi Nishimura, Mert R. Sabuncu:
Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models. CoRR abs/1801.00880 (2018) - [i11]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
An Unsupervised Learning Model for Deformable Medical Image Registration. CoRR abs/1802.02604 (2018) - [i10]Yingying Zhu, Mert R. Sabuncu:
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome. CoRR abs/1803.05011 (2018) - [i9]Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration. CoRR abs/1805.04605 (2018) - [i8]Zhilu Zhang, Mert R. Sabuncu:
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels. CoRR abs/1805.07836 (2018) - [i7]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
3D Convolutional Neural Networks for Classification of Functional Connectomes. CoRR abs/1806.04209 (2018) - [i6]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation from Image Collections. CoRR abs/1808.05732 (2018) - [i5]Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca:
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. CoRR abs/1809.05231 (2018) - [i4]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Ensemble learning with 3D convolutional neural networks for connectome-based prediction. CoRR abs/1809.06219 (2018) - [i3]Evan M. Yu, Mert R. Sabuncu:
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures. CoRR abs/1810.07746 (2018) - [i2]Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu:
Machine learning in resting-state fMRI analysis. CoRR abs/1812.11477 (2018) - 2017
- [j29]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
Guest editorial of the IJCARS MICCAI 2016 special issue. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1243-1244 (2017) - [j28]Sébastien Ourselin, Mert R. Sabuncu, William M. Wells III, Leo Joskowicz, Gözde B. Ünal, Andreas K. Maier:
The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Anal. 41: 1 (2017) - [j27]Iman Aganj, Juan Eugenio Iglesias, Martin Reuter, Mert Rory Sabuncu, Bruce Fischl:
Mid-space-independent deformable image registration. NeuroImage 152: 158-170 (2017) - [j26]Karl-Heinz Nenning, Hesheng Liu, Satrajit S. Ghosh, Mert R. Sabuncu, Ernst Schwartz, Georg Langs:
Diffeomorphic functional brain surface alignment: Functional demons. NeuroImage 156: 456-465 (2017) - [c36]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Population Based Image Imputation. IPMI 2017: 659-671 - [e4]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:
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. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - 2016
- [e3]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9900, 2016, ISBN 978-3-319-46719-1 [contents] - [e2]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9901, 2016, ISBN 978-3-319-46722-1 [contents] - [e1]Sébastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gözde B. Ünal, William M. Wells III:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9902, 2016, ISBN 978-3-319-46725-2 [contents] - 2015
- [j25]Juan Eugenio Iglesias, Mert R. Sabuncu:
Multi-atlas segmentation of biomedical images: A survey. Medical Image Anal. 24(1): 205-219 (2015) - [j24]Iman Aganj, Martin Reuter, Mert R. Sabuncu, Bruce Fischl:
Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint. NeuroImage 106: 238-251 (2015) - [j23]Juan Eugenio Iglesias, Mert Rory Sabuncu, Iman Aganj, Priyanka Bhatt, Christen Casillas, David H. Salat, Adam L. Boxer, Bruce Fischl, Koen Van Leemput:
An algorithm for optimal fusion of atlases with different labeling protocols. NeuroImage 106: 451-463 (2015) - [j22]Mert R. Sabuncu, Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl:
Corrigendum to "Event time analysis of longitudinal neuroimage data" [NeuroImage 97 (15 August 2014) 9-18]. NeuroImage 108: 74 (2015) - [j21]Jorge L. Bernal-Rusiel, Douglas N. Greve, Martin Reuter, Bruce Fischl, Mert R. Sabuncu:
Corrigendum to "Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models" [NeuroImage 66 (1 February 2013) 249-260]. NeuroImage 108: 110 (2015) - [j20]Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl, Mert R. Sabuncu:
Corrigendum to "Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data" [NeuroImage 81 (1 November 2013) 358-370]. NeuroImage 108: 123 (2015) - [j19]Tian Ge, Thomas E. Nichols, Debashis Ghosh, Elizabeth C. Mormino, Jordan W. Smoller, Mert R. Sabuncu:
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application. NeuroImage 109: 505-514 (2015) - [j18]Mert R. Sabuncu, Ender Konukoglu:
Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study. Neuroinformatics 13(1): 31-46 (2015) - [c35]Iman Aganj, Juan Eugenio Iglesias, Martin Reuter, Mert R. Sabuncu, Bruce Fischl:
Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration. MICCAI (2) 2015: 263-271 - [c34]Mert R. Sabuncu:
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data. MICCAI (3) 2015: 411-418 - [c33]Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. MICCAI (3) 2015: 519-526 - 2014
- [j17]Mert R. Sabuncu, Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl:
Event time analysis of longitudinal neuroimage data. NeuroImage 97: 9-18 (2014) - [c32]Mert R. Sabuncu:
A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models. MICCAI (3) 2014: 353-360 - [c31]Koenraad Van Leemput, Mert R. Sabuncu:
A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth. MICCAI (1) 2014: 398-406 - [c30]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:
Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. MICCAI (2) 2014: 773-780 - [i1]Juan Eugenio Iglesias, Mert Rory Sabuncu:
Multi-Atlas Segmentation of Biomedical Images: A Survey. CoRR abs/1412.3421 (2014) - 2013
- [j16]Douglas N. Greve, Lise Van der Haegen, Qing Cai, Steven M. Stufflebeam, Mert R. Sabuncu, Bruce Fischl, Marc Brysbaert:
A Surface-based Analysis of Language Lateralization and Cortical Asymmetry. J. Cogn. Neurosci. 25(9): 1477-1492 (2013) - [j15]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry. Medical Image Anal. 17(7): 766-778 (2013) - [j14]Juan Eugenio Iglesias, Mert Rory Sabuncu, Koen Van Leemput:
A unified framework for cross-modality multi-atlas segmentation of brain MRI. Medical Image Anal. 17(8): 1181-1191 (2013) - [j13]Jorge L. Bernal-Rusiel, Douglas N. Greve, Martin Reuter, Bruce Fischl, Mert R. Sabuncu:
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models. NeuroImage 66: 249-260 (2013) - [j12]Jorge L. Bernal-Rusiel, Martin Reuter, Douglas N. Greve, Bruce Fischl, Mert R. Sabuncu:
Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data. NeuroImage 81: 358-370 (2013) - [j11]Iman Aganj, B. T. Thomas Yeo, Mert R. Sabuncu, Bruce Fischl:
On Removing Interpolation and Resampling Artifacts in Rigid Image Registration. IEEE Trans. Image Process. 22(2): 816-827 (2013) - [c29]Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland:
Joint Modeling of Imaging and Genetics. IPMI 2013: 766-777 - [c28]Iman Aganj, Martin Reuter, Mert R. Sabuncu, Bruce Fischl:
Symmetric non-rigid image registration via an adaptive quasi-volume-preserving constraint. ISBI 2013: 230-233 - [c27]Mert R. Sabuncu:
A Bayesian Algorithm for Image-Based Time-to-Event Prediction. MLMI 2013: 74-81 - [c26]Ender Konukoglu, André J. W. van der Kouwe, Mert Rory Sabuncu, Bruce Fischl:
Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions. MICCAI (1) 2013: 131-138 - [c25]Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput:
An Improved Optimization Method for the Relevance Voxel Machine. MLMI 2013: 147-154 - [c24]Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu:
On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI 2013: 171-178 - [c23]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion. MICCAI (3) 2013: 576-583 - 2012
- [j10]Koene R. A. Van Dijk, Mert R. Sabuncu, Randy L. Buckner:
The influence of head motion on intrinsic functional connectivity MRI. NeuroImage 59(1): 431-438 (2012) - [j9]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:
Measuring and comparing brain cortical surface area and other areal quantities. NeuroImage 61(4): 1428-1443 (2012) - [j8]Mert R. Sabuncu, Koen Van Leemput:
The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction. IEEE Trans. Medical Imaging 31(12): 2290-2306 (2012) - [c22]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
A generative model for multi-atlas segmentation across modalities. ISBI 2012: 888-891 - [c21]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry. MICCAI (3) 2012: 50-57 - [c20]Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput:
A Generative Model for Probabilistic Label Fusion of Multimodal Data. MBIA 2012: 115-133 - 2011
- [c19]Polina Golland, Mert R. Sabuncu:
Modeling anatomical heterogeneity in populations. ICASSP 2011: 5776-5779 - [c18]Mert R. Sabuncu, Koen Van Leemput:
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. MICCAI (3) 2011: 99-106 - 2010
- [j7]B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland:
Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration. IEEE Trans. Medical Imaging 29(3): 650-668 (2010) - [j6]B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne J. Holt, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl:
Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex. IEEE Trans. Medical Imaging 29(7): 1424-1441 (2010) - [j5]Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, Bruce Fischl, Polina Golland:
A Generative Model for Image Segmentation Based on Label Fusion. IEEE Trans. Medical Imaging 29(10): 1714-1729 (2010) - [c17]Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, Reza Nezafat, Ehud J. Schmidt, Polina Golland:
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation. STACOM/CESC 2010: 85-94
2000 – 2009
- 2009
- [j4]Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, Carl-Fredrik Westin:
Consistency Clustering: A Robust Algorithm for Group-wise Registration, Segmentation and Automatic Atlas Construction in Diffusion MRI. Int. J. Comput. Vis. 85(3): 279-290 (2009) - [j3]Mert R. Sabuncu, Serdar K. Balci, Martha Elizabeth Shenton, Polina Golland:
Image-Driven Population Analysis Through Mixture Modeling. IEEE Trans. Medical Imaging 28(9): 1473-1487 (2009) - [c16]Kilian M. Pohl, Mert R. Sabuncu:
A Unified Framework for MR Based Disease Classification. IPMI 2009: 300-313 - [c15]Mert R. Sabuncu:
Image-Driven Population Analysis Through Mixture Modeling. ISBI 2009: 825-825 - [c14]Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland:
Asymmetric Image-Template Registration. MICCAI (1) 2009: 565-573 - [c13]B. T. Thomas Yeo, Mert R. Sabuncu, Polina Golland, Bruce Fischl:
Task-Optimal Registration Cost Functions. MICCAI (1) 2009: 598-606 - [c12]Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland:
Supervised Nonparametric Image Parcellation. MICCAI (1) 2009: 1075-1083 - 2008
- [j2]B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland:
Effects of registration regularization and atlas sharpness on segmentation accuracy. Medical Image Anal. 12(5): 603-615 (2008) - [j1]Mert R. Sabuncu, Peter J. Ramadge:
Using Spanning Graphs for Efficient Image Registration. IEEE Trans. Image Process. 17(5): 788-797 (2008) - [c11]Mert R. Sabuncu, Serdar K. Balci, Polina Golland:
Discovering Modes of an Image Population through Mixture Modeling. MICCAI (2) 2008: 381-389 - [c10]B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland:
Spherical Demons: Fast Surface Registration. MICCAI (1) 2008: 745-753 - [c9]Sune Darkner, Mert R. Sabuncu, Polina Golland, Rasmus R. Paulsen, Rasmus Larsen:
Analysis of Surfaces Using Constrained Regression Models. MICCAI (1) 2008: 842-849 - 2007
- [c8]B. T. Thomas Yeo, Mert R. Sabuncu, Hartmut Mohlberg, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl:
What Data to Co-register for Computing Atlases. ICCV 2007: 1-8 - [c7]Ulas Ziyan, Mert R. Sabuncu, W. Eric L. Grimson, Carl-Fredrik Westin:
A Robust Algorithm for Fiber-Bundle Atlas Construction. ICCV 2007: 1-8 - [c6]Ulas Ziyan, Mert R. Sabuncu, Lauren O'Donnell, Carl-Fredrik Westin:
Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles. MICCAI (1) 2007: 351-358 - [c5]B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland:
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy. MICCAI (1) 2007: 683-691 - 2005
- [c4]Mert Rory Sabuncu, Peter J. Ramadge:
Graph-theoretic image registration using prior examples. EUSIPCO 2005: 1-4 - [c3]Mert R. Sabuncu, Peter J. Ramadge:
Gradient Based Optimization of an EMST Image Registration Function. ICASSP (2) 2005: 253-256 - 2004
- [c2]Mert R. Sabuncu, Peter J. Ramadge:
Fast alignment of digital images using a lower bound on an entropy metric. ICIP 2004: 1919-1922 - 2003
- [c1]Mert R. Sabuncu, Peter J. Ramadge:
Spatial Information in Entropy-Based Image Registration. WBIR 2003: 132-141
Coauthor Index
Adrian V. Dalca
aka: Adrian Vasile Dalca
aka: Adrian Vasile Dalca
Koenraad Van Leemput
aka: Koen Van Leemput
aka: Koen Van Leemput
Hoang Gia Ngo
aka: Gia H. Ngo
aka: Gia H. Ngo
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