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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
- 2023
[j45]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)- [j44]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) - [j43]Alan Q. Wang, Mert R. Sabuncu:
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification. Trans. Mach. Learn. Res. 2023 (2023) - [c73]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 - [i59]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) - [i58]Heejong Kim, Mert R. Sabuncu:
Learning to Compare Longitudinal Images. CoRR abs/2304.02531 (2023) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu:
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head. CoRR abs/2309.13377 (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]