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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,