Mert R. Sabuncu
Mert Rory Sabuncu
Cornell University, Ithaca, USA
https://orcid.org/0000-0002-7068-719X
https://www.wikidata.org/entity/Q47502537
https://ieeexplore.ieee.org/author/37427009100
Suraj Rajendran
Weishen Pan
Mert R. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang 0001
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.
100913
2024
5
Patterns
2
https://doi.org/10.1016/j.patter.2023.100913
db/journals/patterns/patterns5.html#RajendranPSCZ024
Tianyu Ma
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
Hyper-convolutions via implicit kernels for medical image analysis.
102796
2023
May
86
Medical Image Anal.
https://doi.org/10.1016/j.media.2023.102796
db/journals/mia/mia86.html#MaWDS23
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.
102962
2023
December
90
Medical Image Anal.
https://doi.org/10.1016/j.media.2023.102962
db/journals/mia/mia90.html#WangYDS23
Jinwei Zhang
Pascal Spincemaille
Hang Zhang 0010
Thanh D. Nguyen
Chao Li
Jiahao Li
Ilhami Kovanlikaya
Mert R. Sabuncu
Yi Wang 0028
LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping.
119886
2023
March
268
NeuroImage
https://doi.org/10.1016/j.neuroimage.2023.119886
db/journals/neuroimage/neuroimage268.html#ZhangSZNLLKSW23
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.
2023
6
npj Digit. Medicine
https://doi.org/10.1038/s41746-023-00894-9
db/journals/npjdm/npjdm6.html#ZhouCCRFCDCWLSBWM23
Alan Q. Wang
Mert R. Sabuncu
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification.
2023
2023
Trans. Mach. Learn. Res.
https://openreview.net/forum?id=iEq6lhG4O3
db/journals/tmlr/tmlr2023.html#WangS23
Victor Ion Butoi
Jose Javier Gonzalez Ortiz
Tianyu Ma
Mert R. Sabuncu
John V. Guttag
Adrian V. Dalca
UniverSeg: Universal Medical Image Segmentation.
21381-21394
2023
ICCV
https://doi.org/10.1109/ICCV51070.2023.01960
conf/iccv/2023
db/conf/iccv/iccv2023.html#ButoiOMSGD23
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.
2023
ICLR
https://openreview.net/pdf?id=FE99-fDrWd5
conf/iclr/2023
db/conf/iclr/iclr2023.html#RastogiSHLLDSK23
Cagla Deniz Bahadir
Benjamin Liechty
David J. Pisapia
Mert R. Sabuncu
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model.
121-131
2023
DGM4MICCAI
https://doi.org/10.1007/978-3-031-53767-7_12
conf/miccai/2023dgm4miccai
db/conf/miccai/dgm4miccai2023.html#BahadirLPS23
Heejong Kim
Victor Ion Butoi
Adrian V. Dalca
Mert R. Sabuncu
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging.
140-150
2023
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
https://doi.org/10.1007/978-3-031-47401-9_14
conf/miccai/2023isic
db/conf/miccai/isic2023.html#KimBDS23
Xinzi He
Alan Q. Wang
Mert R. Sabuncu
Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing.
258-267
2023
MICCAI (8)
https://doi.org/10.1007/978-3-031-43993-3_25
conf/miccai/2023-8
db/conf/miccai/miccai2023-8.html#HeWS23
Zijin Gu
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Decoding natural image stimuli from fMRI data with a surface-based convolutional network.
107-118
2023
MIDL
https://proceedings.mlr.press/v227/gu24a.html
conf/midl/2023
db/conf/midl/midl2023.html#GuJKS23
Heejong Kim
Mert R. Sabuncu
Learning to Compare Longitudinal Images.
350-367
2023
MIDL
https://proceedings.mlr.press/v227/kim24a.html
conf/midl/2023
db/conf/midl/midl2023.html#KimS23
Alan Wang
Minh Nguyen 0002
Mert R. Sabuncu
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
2023
NeurIPS
http://papers.nips.cc/paper_files/paper/2023/hash/0f6931a9e339a012a9909306d7c758b4-Abstract-Conference.html
conf/nips/2023
db/conf/nips/neurips2023.html#WangNS23
Xinzi He
Alan Wang
Mert R. Sabuncu
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing.
2023
abs/2303.12148
CoRR
https://doi.org/10.48550/arXiv.2303.12148
db/journals/corr/corr2303.html#abs-2303-12148
Heejong Kim
Mert R. Sabuncu
Learning to Compare Longitudinal Images.
2023
abs/2304.02531
CoRR
https://doi.org/10.48550/arXiv.2304.02531
db/journals/corr/corr2304.html#abs-2304-02531
Victor Ion Butoi
Jose Javier Gonzalez Ortiz
Tianyu Ma
Mert R. Sabuncu
John V. Guttag
Adrian V. Dalca
UniverSeg: Universal Medical Image Segmentation.
2023
abs/2304.06131
CoRR
https://doi.org/10.48550/arXiv.2304.06131
db/journals/corr/corr2304.html#abs-2304-06131
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.
2023
abs/2304.09941
CoRR
https://doi.org/10.48550/arXiv.2304.09941
db/journals/corr/corr2304.html#abs-2304-09941
Suraj Rajendran
Weishen Pan
Mert R. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang 0001
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources.
2023
abs/2305.06217
CoRR
https://doi.org/10.48550/arXiv.2305.06217
db/journals/corr/corr2305.html#abs-2305-06217
Heejong Kim
Victor Ion Butoi
Adrian V. Dalca
Mert R. Sabuncu
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging.
2023
abs/2307.03266
CoRR
https://doi.org/10.48550/arXiv.2307.03266
db/journals/corr/corr2307.html#abs-2307-03266
Alan Q. Wang
Minh Nguyen 0002
Mert R. Sabuncu
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
2023
abs/2309.13377
CoRR
https://doi.org/10.48550/arXiv.2309.13377
db/journals/corr/corr2309.html#abs-2309-13377
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.
2023
abs/2310.01685
CoRR
https://doi.org/10.48550/arXiv.2310.01685
db/journals/corr/corr2310.html#abs-2310-01685
Cagla Deniz Bahadir
Benjamin Liechty
David J. Pisapia
Mert R. Sabuncu
Characterizing the Features of Mitotic Figures Using a Conditional Diffusion Probabilistic Model.
2023
abs/2310.03893
CoRR
https://doi.org/10.48550/arXiv.2310.03893
db/journals/corr/corr2310.html#abs-2310-03893
Minh Nguyen 0002
Gia H. Ngo
Mert R. Sabuncu
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes.
2023
abs/2310.14105
CoRR
https://doi.org/10.48550/arXiv.2310.14105
db/journals/corr/corr2310.html#abs-2310-14105
Minh Nguyen 0002
Alan Q. Wang
Heejong Kim
Mert R. Sabuncu
Robust Learning via Conditional Prevalence Adjustment.
2023
abs/2310.15766
CoRR
https://doi.org/10.48550/arXiv.2310.15766
db/journals/corr/corr2310.html#abs-2310-15766
Gia H. Ngo
Minh Nguyen 0002
Nancy F. Chen
Mert R. Sabuncu
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries.
102540
2022
81
Medical Image Anal.
https://doi.org/10.1016/j.media.2022.102540
db/journals/mia/mia81.html#NgoNCS22
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.
118812
2022
247
NeuroImage
https://doi.org/10.1016/j.neuroimage.2021.118812
https://www.wikidata.org/entity/Q112680604
db/journals/neuroimage/neuroimage247.html#GuJKAWSNKSK22
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.
118849
2022
248
NeuroImage
https://doi.org/10.1016/j.neuroimage.2021.118849
db/journals/neuroimage/neuroimage248.html#NgoKJKS22
Tianyu Ma
Benjamin C. Lee
Mert R. Sabuncu
Label conditioned segmentation.
847-857
2022
MIDL
https://proceedings.mlr.press/v172/ma22a.html
conf/midl/2022
db/conf/midl/midl2022.html#MaLS22
Evan M. Yu
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
KeyMorph: Robust Multi-modal Affine Registration via Unsupervised Keypoint Detection.
1482-1503
2022
MIDL
https://proceedings.mlr.press/v172/yu22a.html
conf/midl/2022
db/conf/midl/midl2022.html#YuWDS22
Meenakshi Khosla
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.
2022
conf/nips/2022
NeurIPS
http://papers.nips.cc/paper_files/paper/2022/hash/3d278eebf6e555e6efd050817d774586-Abstract-Conference.html
db/conf/nips/neurips2022.html#KhoslaJKS22
Tianyu Ma
Adrian V. Dalca
Mert R. Sabuncu
Hyper-Convolution Networks for Biomedical Image Segmentation.
1989-1998
2022
WACV
https://doi.org/10.1109/WACV51458.2022.00205
conf/wacv/2022
db/conf/wacv/wacv2022.html#MaDS22
Zijin Gu
Keith Jamison
Mert R. Sabuncu
Amy Kuceyeski
Personalized visual encoding model construction with small data.
2022
abs/2202.02245
CoRR
https://arxiv.org/abs/2202.02245
db/journals/corr/corr2202.html#abs-2202-02245
Tianyu Ma
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
Hyper-Convolutions via Implicit Kernels for Medical Imaging.
2022
abs/2202.02701
CoRR
https://arxiv.org/abs/2202.02701
db/journals/corr/corr2202.html#abs-2202-02701
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
Computing Multiple Image Reconstructions with a Single Hypernetwork.
2022
abs/2202.11009
CoRR
https://arxiv.org/abs/2202.11009
db/journals/corr/corr2202.html#abs-2202-11009
Tianyu Ma
Benjamin C. Lee
Mert R. Sabuncu
Label conditioned segmentation.
2022
abs/2203.10091
CoRR
https://doi.org/10.48550/arXiv.2203.10091
db/journals/corr/corr2203.html#abs-2203-10091
Richa Rastogi
Yuntian Deng
Ian Lee
Mert R. Sabuncu
Volodymyr Kuleshov
Semi-Parametric Deep Neural Networks in Linear Time and Memory.
2022
abs/2205.11718
CoRR
https://doi.org/10.48550/arXiv.2205.11718
db/journals/corr/corr2205.html#abs-2205-11718
Gia H. Ngo
Minh Nguyen 0002
Nancy F. Chen
Mert R. Sabuncu
A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries.
2022
abs/2208.00840
CoRR
https://doi.org/10.48550/arXiv.2208.00840
db/journals/corr/corr2208.html#abs-2208-00840
Minh Nguyen 0002
Gia H. Ngo
Mert R. Sabuncu
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies.
2022
abs/2210.07416
CoRR
https://doi.org/10.48550/arXiv.2210.07416
db/journals/corr/corr2210.html#abs-2210-07416
Jinwei Zhang
Pascal Spincemaille
Hang Zhang 0010
Thanh D. Nguyen
Chao Li
Jiahao Li
Ilhami Kovanlikaya
Mert R. Sabuncu
Yi Wang 0028
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping.
2022
abs/2211.00725
CoRR
https://doi.org/10.48550/arXiv.2211.00725
db/journals/corr/corr2211.html#abs-2211-00725
Zijin Gu
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Decoding natural image stimuli from fMRI data with a surface-based convolutional network.
2022
abs/2212.02409
CoRR
https://doi.org/10.48550/arXiv.2212.02409
db/journals/corr/corr2212.html#abs-2212-02409
Alan Q. Wang
Mert R. Sabuncu
A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification.
2022
abs/2212.03411
CoRR
https://doi.org/10.48550/arXiv.2212.03411
db/journals/corr/corr2212.html#abs-2212-03411
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks.
3-13
2021
MLMIR@MICCAI
https://doi.org/10.1007/978-3-030-88552-6_1
conf/miccai/2021mlmir
db/conf/miccai/mlmir2021.html#WangDS21
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.
129-139
2021
MICCAI (6)
https://doi.org/10.1007/978-3-030-87231-1_13
conf/miccai/2021-6
db/conf/miccai/miccai2021-6.html#WangLMXS21
Jinwei Zhang
Hang Zhang 0010
Chao Li
Pascal Spincemaille
Mert R. Sabuncu
Thanh D. Nguyen
Yi Wang 0028
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction.
232-242
2021
MICCAI (6)
https://doi.org/10.1007/978-3-030-87231-1_23
conf/miccai/2021-6
db/conf/miccai/miccai2021-6.html#ZhangZLSSNW21
Gia H. Ngo
Minh Nguyen 0002
Nancy F. Chen
Mert R. Sabuncu
Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query.
605-614
2021
MICCAI (7)
https://doi.org/10.1007/978-3-030-87234-2_57
conf/miccai/2021-7
db/conf/miccai/miccai2021-7.html#NgoNCS21
Jinwei Zhang
Hang Zhang 0010
Pascal Spincemaille
Thanh D. Nguyen
Mert R. Sabuncu
Yi Wang 0028
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping.
870-880
2021
MIDL
https://proceedings.mlr.press/v143/zhang21c.html
conf/midl/2021
db/conf/midl/midl2021.html#ZhangZSNS021
Tianyu Ma
Hang Zhang 0010
Hanley Ong
Amar Vora
Thanh D. Nguyen
Ajay Gupta
Yi Wang 0028
Mert R. Sabuncu
Ensembling Low Precision Models for Binary Biomedical Image Segmentation.
325-334
2021
WACV
https://doi.org/10.1109/WACV48630.2021.00037
conf/wacv/2021
db/conf/wacv/wacv2021.html#MaZOVNGWS21
Yichen Shen
Zhilu Zhang
Mert R. Sabuncu
Lin Sun
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation.
707-716
2021
WACV
https://doi.org/10.1109/WACV48630.2021.00075
conf/wacv/2021
db/conf/wacv/wacv2021.html#ShenZSS21
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
Regularization-Agnostic Compressed Sensing MRI Reconstruction with Hypernetworks.
2021
abs/2101.02194
CoRR
https://arxiv.org/abs/2101.02194
db/journals/corr/corr2101.html#abs-2101-02194
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.
2021
abs/2105.07140
CoRR
https://arxiv.org/abs/2105.07140
db/journals/corr/corr2105.html#abs-2105-07140
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.
2021
abs/2105.07961
CoRR
https://arxiv.org/abs/2105.07961
db/journals/corr/corr2105.html#abs-2105-07961
Tianyu Ma
Adrian V. Dalca
Mert R. Sabuncu
Hyper-Convolution Networks for Biomedical Image Segmentation.
2021
abs/2105.10559
CoRR
https://arxiv.org/abs/2105.10559
db/journals/corr/corr2105.html#abs-2105-10559
Zhilu Zhang
Vianne R. Gao
Mert R. Sabuncu
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks.
2021
abs/2106.04767
CoRR
https://arxiv.org/abs/2106.04767
db/journals/corr/corr2106.html#abs-2106-04767
Gia H. Ngo
Minh Nguyen 0002
Nancy F. Chen
Mert R. Sabuncu
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query.
2021
abs/2109.13814
CoRR
https://arxiv.org/abs/2109.13814
db/journals/corr/corr2109.html#abs-2109-13814
Tong He
Ru Kong
Avram J. Holmes
Minh Nguyen 0002
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.
2020
206
NeuroImage
https://doi.org/10.1016/j.neuroimage.2019.116276
https://www.wikidata.org/entity/Q90696062
db/journals/neuroimage/neuroimage206.html#HeKHNSEBFY20
Jinwei Zhang
Zhe Liu 0042
Shun Zhang
Hang Zhang 0010
Pascal Spincemaille
Thanh D. Nguyen
Mert R. Sabuncu
Yi Wang 0028
Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction.
116579
2020
211
NeuroImage
https://doi.org/10.1016/j.neuroimage.2020.116579
https://www.wikidata.org/entity/Q92939114
db/journals/neuroimage/neuroimage211.html#ZhangLZZSNSW20
Cagla Deniz Bahadir
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI.
1139-1152
2020
6
IEEE Trans. Computational Imaging
https://doi.org/10.1109/TCI.2020.3006727
db/journals/tci/tci6.html#BahadirWDS20
Qi Chang
Hui Qu
Yikai Zhang
Mert R. Sabuncu
Chao Chen 0012
Tong Zhang 0001
Dimitris N. Metaxas
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data.
13853-13863
2020
CVPR
https://openaccess.thecvf.com/content_CVPR_2020/html/Chang_Synthetic_Learning_Learn_From_Distributed_Asynchronized_Discriminator_GAN_Without_Sharing_CVPR_2020_paper.html
https://doi.org/10.1109/CVPR42600.2020.01387
conf/cvpr/2020
db/conf/cvpr/cvpr2020.html#ChangQZSCZM20
Tianyu Ma
Ajay Gupta
Mert R. Sabuncu
Volumetric Landmark Detection with a Multi-Scale Shift Equivariant Neural Network.
981-985
2020
ISBI
https://doi.org/10.1109/ISBI45749.2020.9098620
conf/isbi/2020
db/conf/isbi/isbi2020.html#MaGS20
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data.
27-37
2020
MLMIR@MICCAI
https://doi.org/10.1007/978-3-030-61598-7_3
conf/miccai/2020mlmir
db/conf/miccai/mlmir2020.html#WangDS20
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.
62-71
2020
MICCAI (7)
https://doi.org/10.1007/978-3-030-59728-3_7
conf/miccai/2020-7
db/conf/miccai/miccai2020-7.html#NgoKJKS20
Jinwei Zhang
Hang Zhang 0010
Alan Wang
Qihao Zhang
Mert R. Sabuncu
Pascal Spincemaille
Thanh D. Nguyen
Yi Wang 0028
Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI.
91-101
2020
MLMIR@MICCAI
https://doi.org/10.1007/978-3-030-61598-7_9
conf/miccai/2020mlmir
db/conf/miccai/mlmir2020.html#ZhangZWZSSNW20
Evan M. Yu
Adrian V. Dalca
Mert R. Sabuncu
Learning Conditional Deformable Shape Templates for Brain Anatomy.
353-362
2020
MLMI@MICCAI
https://doi.org/10.1007/978-3-030-59861-7_36
conf/miccai/2020mlmi
db/conf/miccai/mlmi2020.html#YuDS20
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.
539-548
2020
MICCAI (7)
https://doi.org/10.1007/978-3-030-59728-3_53
conf/miccai/2020-7
db/conf/miccai/miccai2020-7.html#KhoslaNJKS20
Evan M. Yu
Juan Eugenio Iglesias
Adrian V. Dalca
Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation.
881-891
2020
MIDL
http://proceedings.mlr.press/v121/yu20a.html
conf/midl/2020
db/conf/midl/midl2020.html#YuIDS20
Jinwei Zhang
Hang Zhang 0010
Mert R. Sabuncu
Pascal Spincemaille
Thanh D. Nguyen
Yi Wang 0028
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping.
892-902
2020
MIDL
http://proceedings.mlr.press/v121/zhang20b.html
conf/midl/2020
db/conf/midl/midl2020.html#Zhang0SSN020
Meenakshi Khosla
Gia H. Ngo
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Neural encoding with visual attention.
2020
NeurIPS
https://proceedings.neurips.cc/paper/2020/hash/b71f5aaf3371c2cdfb7a7c0497f569d4-Abstract.html
conf/nips/2020
db/conf/nips/neurips2020.html#KhoslaNJKS20
Zhilu Zhang
Mert R. Sabuncu
Self-Distillation as Instance-Specific Label Smoothing.
2020
NeurIPS
https://proceedings.neurips.cc/paper/2020/hash/1731592aca5fb4d789c4119c65c10b4b-Abstract.html
conf/nips/2020
db/conf/nips/neurips2020.html#ZhangS20
Hang Zhang 0010
Jinwei Zhang
Qihao Zhang
Jeremy Kim
Shun Zhang
Susan A. Gauthier
Pascal Spincemaille
Thanh D. Nguyen
Mert R. Sabuncu
Yi Wang 0028
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation.
2020
abs/2002.12470
CoRR
https://arxiv.org/abs/2002.12470
db/journals/corr/corr2002.html#abs-2002-12470
Tianyu Ma
Ajay Gupta
Mert R. Sabuncu
Volumetric landmark detection with a multi-scale shift equivariant neural network.
2020
abs/2003.01639
CoRR
https://arxiv.org/abs/2003.01639
db/journals/corr/corr2003.html#abs-2003-01639
Evan M. Yu
Juan Eugenio Iglesias
Adrian V. Dalca
Mert R. Sabuncu
An Auto-Encoder Strategy for Adaptive Image Segmentation.
2020
abs/2004.13903
CoRR
https://arxiv.org/abs/2004.13903
db/journals/corr/corr2004.html#abs-2004-13903
Qi Chang
Hui Qu
Yikai Zhang
Mert R. Sabuncu
Chao Chen 0012
Tong Zhang 0001
Dimitris N. Metaxas
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data.
2020
abs/2006.00080
CoRR
https://arxiv.org/abs/2006.00080
db/journals/corr/corr2006.html#abs-2006-00080
Zhilu Zhang
Mert R. Sabuncu
Self-Distillation as Instance-Specific Label Smoothing.
2020
abs/2006.05065
CoRR
https://arxiv.org/abs/2006.05065
db/journals/corr/corr2006.html#abs-2006-05065
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.
2020
abs/2006.15802
CoRR
https://arxiv.org/abs/2006.15802
db/journals/corr/corr2006.html#abs-2006-15802
Jinwei Zhang
Hang Zhang 0010
Alan Wang
Qihao Zhang
Mert R. Sabuncu
Pascal Spincemaille
Thanh D. Nguyen
Yi Wang 0028
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI.
2020
abs/2007.14450
CoRR
https://arxiv.org/abs/2007.14450
db/journals/corr/corr2007.html#abs-2007-14450
Alan Q. Wang
Adrian V. Dalca
Mert R. Sabuncu
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data.
2020
abs/2007.14979
CoRR
https://arxiv.org/abs/2007.14979
db/journals/corr/corr2007.html#abs-2007-14979
Yichen Shen
Zhilu Zhang
Mert R. Sabuncu
Lin Sun
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision.
2020
abs/2007.15857
CoRR
https://arxiv.org/abs/2007.15857
db/journals/corr/corr2007.html#abs-2007-15857
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.
2020
abs/2008.02961
CoRR
https://arxiv.org/abs/2008.02961
db/journals/corr/corr2008.html#abs-2008-02961
Mert R. Sabuncu
Intelligence plays dice: Stochasticity is essential for machine learning.
2020
abs/2008.07496
CoRR
https://arxiv.org/abs/2008.07496
db/journals/corr/corr2008.html#abs-2008-07496
Meenakshi Khosla
Gia H. Ngo
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Neural encoding with visual attention.
2020
abs/2010.00516
CoRR
https://arxiv.org/abs/2010.00516
db/journals/corr/corr2010.html#abs-2010-00516
Adrian V. Dalca
Ramesh Sridharan
Mert R. Sabuncu
Polina Golland
Predictive Modeling of Anatomy with Genetic and Clinical Data.
2020
abs/2010.04757
CoRR
https://arxiv.org/abs/2010.04757
db/journals/corr/corr2010.html#abs-2010-04757
Tianyu Ma
Hang Zhang 0010
Hanley Ong
Amar Vora
Thanh D. Nguyen
Ajay Gupta
Yi Wang 0028
Mert R. Sabuncu
Ensembling Low Precision Models for Binary Biomedical Image Segmentation.
2020
abs/2010.08648
CoRR
https://arxiv.org/abs/2010.08648
db/journals/corr/corr2010.html#abs-2010-08648
Jun Liu 0007
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.
1900048
2019
1
Adv. Intell. Syst.
6
https://doi.org/10.1002/aisy.201900048
db/journals/aisy/aisy1.html#LiuSALOMDSM19
Adrian V. Dalca
Guha Balakrishnan
John V. Guttag
Mert R. Sabuncu
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.
226-236
2019
57
Medical Image Anal.
https://doi.org/10.1016/j.media.2019.07.006
https://www.wikidata.org/entity/Q92220992
db/journals/mia/mia57.html#DalcaBGS19
Jingwei Li 0003
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.
126-141
2019
196
NeuroImage
https://doi.org/10.1016/j.neuroimage.2019.04.016
https://www.wikidata.org/entity/Q93028837
db/journals/neuroimage/neuroimage196.html#LiKLOTSHSGY19
Meenakshi Khosla
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.
651-662
2019
199
NeuroImage
https://doi.org/10.1016/j.neuroimage.2019.06.012
https://www.wikidata.org/entity/Q92907131
db/journals/neuroimage/neuroimage199.html#KhoslaJKS19
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.
2019
201
NeuroImage
https://doi.org/10.1016/j.neuroimage.2019.116043
https://www.wikidata.org/entity/Q92175686
db/journals/neuroimage/neuroimage201.html#SunMCSYI19
Adrian V. Dalca
Katherine L. Bouman
William T. Freeman
Natalia S. Rost
Mert R. Sabuncu
Polina Golland
Medical Image Imputation From Image Collections.
504-514
2019
38
IEEE Trans. Medical Imaging
2
https://doi.org/10.1109/TMI.2018.2866692
https://www.wikidata.org/entity/Q63387018
db/journals/tmi/tmi38.html#DalcaBFRSG19
Guha Balakrishnan
Amy Zhao
Mert R. Sabuncu
John V. Guttag
Adrian V. Dalca
VoxelMorph: A Learning Framework for Deformable Medical Image Registration.
1788-1800
2019
38
IEEE Trans. Medical Imaging
8
https://doi.org/10.1109/TMI.2019.2897538
https://www.wikidata.org/entity/Q91331957
db/journals/tmi/tmi38.html#BalakrishnanZSG19
Cagla Deniz Bahadir
Adrian V. Dalca
Mert R. Sabuncu
Learning-Based Optimization of the Under-Sampling Pattern in MRI.
780-792
2019
IPMI
https://doi.org/10.1007/978-3-030-20351-1_61
conf/ipmi/2019
db/conf/ipmi/ipmi2019.html#BahadirDS19
Evan M. Yu
Mert R. Sabuncu
A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain Structures.
1559-1562
2019
ISBI
https://doi.org/10.1109/ISBI.2019.8759231
https://www.wikidata.org/entity/Q98289818
conf/isbi/2019
db/conf/isbi/isbi2019.html#YuS19
Yingying Zhu 0004
Jodi M. Gilman
Anne Eden Evins
Mert R. Sabuncu
Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS.
146-154
2019
MICCAI (5)
https://doi.org/10.1007/978-3-030-32254-0_17
conf/miccai/2019-5
db/conf/miccai/miccai2019-5.html#ZhuGES19
Meenakshi Khosla
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.
301-309
2019
MLMI@MICCAI
https://doi.org/10.1007/978-3-030-32692-0_35
conf/miccai/2019mlmi
db/conf/miccai/mlmi2019.html#KhoslaJKS19
Adrian V. Dalca
Evan M. Yu
Polina Golland
Bruce Fischl
Mert R. Sabuncu
Juan Eugenio Iglesias
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation.
356-365
2019
MICCAI (3)
https://doi.org/10.1007/978-3-030-32248-9_40
https://www.wikidata.org/entity/Q95301513
conf/miccai/2019-3
db/conf/miccai/miccai2019-3.html#DalcaYGFSI19
Hang Zhang 0010
Jinwei Zhang
Qihao Zhang
Jeremy Kim
Shun Zhang
Susan A. Gauthier
Pascal Spincemaille
Thanh D. Nguyen
Mert R. Sabuncu
Yi Wang 0028
RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation.
411-419
2019
MICCAI (3)
https://doi.org/10.1007/978-3-030-32248-9_46
conf/miccai/2019-3
db/conf/miccai/miccai2019-3.html#ZhangZZKZGSNSW19
Adrian V. Dalca
Marianne Rakic
John V. Guttag
Mert R. Sabuncu
Learning Conditional Deformable Templates with Convolutional Networks.
804-816
2019
NeurIPS
https://proceedings.neurips.cc/paper/2019/hash/bbcbff5c1f1ded46c25d28119a85c6c2-Abstract.html
http://papers.nips.cc/paper/8368-learning-conditional-deformable-templates-with-convolutional-networks
conf/nips/2019
db/conf/nips/nips2019.html#DalcaRGS19
Cagla Deniz Bahadir
Adrian V. Dalca
Mert R. Sabuncu
Learning-based Optimization of the Under-sampling Pattern in MRI.
2019
abs/1901.01960
CoRR
http://arxiv.org/abs/1901.01960
db/journals/corr/corr1901.html#abs-1901-01960
Adrian V. Dalca
John V. Guttag
Mert R. Sabuncu
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation.
2019
abs/1903.03148
CoRR
http://arxiv.org/abs/1903.03148
db/journals/corr/corr1903.html#abs-1903-03148
Adrian V. Dalca
John V. Guttag
Mert R. Sabuncu
Unsupervised Data Imputation via Variational Inference of Deep Subspaces.
2019
abs/1903.03503
CoRR
http://arxiv.org/abs/1903.03503
db/journals/corr/corr1903.html#abs-1903-03503
Adrian V. Dalca
Guha Balakrishnan
John V. Guttag
Mert R. Sabuncu
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces.
2019
abs/1903.03545
CoRR
http://arxiv.org/abs/1903.03545
db/journals/corr/corr1903.html#abs-1903-03545
Adrian V. Dalca
Evan M. Yu
Polina Golland
Bruce Fischl
Mert R. Sabuncu
Juan Eugenio Iglesias
Unsupervised deep learning for Bayesian brain MRI segmentation.
2019
abs/1904.11319
CoRR
http://arxiv.org/abs/1904.11319
db/journals/corr/corr1904.html#abs-1904-11319
Zhilu Zhang
Adrian V. Dalca
Mert R. Sabuncu
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout.
2019
abs/1906.09551
CoRR
http://arxiv.org/abs/1906.09551
db/journals/corr/corr1906.html#abs-1906-09551
Cagla Deniz Bahadir
Adrian V. Dalca
Mert R. Sabuncu
Adaptive Compressed Sensing MRI with Unsupervised Learning.
2019
abs/1907.11374
CoRR
http://arxiv.org/abs/1907.11374
db/journals/corr/corr1907.html#abs-1907-11374
Adrian V. Dalca
Marianne Rakic
John V. Guttag
Mert R. Sabuncu
Learning Conditional Deformable Templates with Convolutional Networks.
2019
abs/1908.02738
CoRR
http://arxiv.org/abs/1908.02738
db/journals/corr/corr1908.html#abs-1908-02738
Hyeon Woo Lee
Mert R. Sabuncu
Adrian V. Dalca
Few Labeled Atlases are Necessary for Deep-Learning-Based Segmentation.
2019
abs/1908.04466
CoRR
http://arxiv.org/abs/1908.04466
db/journals/corr/corr1908.html#abs-1908-04466
Meenakshi Khosla
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach.
2019
abs/1908.06168
CoRR
http://arxiv.org/abs/1908.06168
db/journals/corr/corr1908.html#abs-1908-06168
Guha Balakrishnan
Amy Zhao
Mert R. Sabuncu
John V. Guttag
Adrian V. Dalca
An Unsupervised Learning Model for Deformable Medical Image Registration.
9252-9260
2018
CVPR
http://openaccess.thecvf.com/content_cvpr_2018/html/Balakrishnan_An_Unsupervised_Learning_CVPR_2018_paper.html
https://doi.org/10.1109/CVPR.2018.00964
https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00964
conf/cvpr/2018
db/conf/cvpr/cvpr2018.html#BalakrishnanZSG18
Adrian V. Dalca
John V. Guttag
Mert R. Sabuncu
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation.
9290-9299
2018
CVPR
http://openaccess.thecvf.com/content_cvpr_2018/html/Dalca_Anatomical_Priors_in_CVPR_2018_paper.html
https://doi.org/10.1109/CVPR.2018.00968
https://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00968
conf/cvpr/2018
db/conf/cvpr/cvpr2018.html#DalcaGS18
Yingying Zhu 0004
Mert R. Sabuncu
A Bayesian Disease Progression Model for Clinical Trajectories.
57-65
2018
GRAIL/Beyond-MIC@MICCAI
https://doi.org/10.1007/978-3-030-00689-1_6
conf/miccai/2018grail
db/conf/miccai/grail2018.html#ZhuS18
Meenakshi Khosla
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
3D Convolutional Neural Networks for Classification of Functional Connectomes.
137-145
2018
DLMIA/ML-CDS@MICCAI
https://doi.org/10.1007/978-3-030-00889-5_16
conf/miccai/2018dlmia
db/conf/miccai/dlmia2018.html#KhoslaJKS18
Adrian V. Dalca
Guha Balakrishnan
John V. Guttag
Mert R. Sabuncu
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.
729-738
2018
MICCAI (1)
https://doi.org/10.1007/978-3-030-00928-1_82
conf/miccai/2018-1
db/conf/miccai/miccai2018-1.html#DalcaBGS18
Zhilu Zhang
Mert R. Sabuncu
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels.
8792-8802
2018
NeurIPS
https://proceedings.neurips.cc/paper/2018/hash/f2925f97bc13ad2852a7a551802feea0-Abstract.html
http://papers.nips.cc/paper/8094-generalized-cross-entropy-loss-for-training-deep-neural-networks-with-noisy-labels
conf/nips/2018
db/conf/nips/nips2018.html#ZhangS18
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?
1-4
2018
PRNI
https://doi.org/10.1109/PRNI.2018.8423958
conf/prni/2018
db/conf/prni/prni2018.html#HeKHSEBFY18
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 0001
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
Springer
2018
Lecture Notes in Computer Science
11044
978-3-030-00688-4
978-3-030-00689-1
https://doi.org/10.1007/978-3-030-00689-1
db/conf/miccai/grail2018.html
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.
2018
abs/1801.00880
CoRR
http://arxiv.org/abs/1801.00880
db/journals/corr/corr1801.html#abs-1801-00880
Guha Balakrishnan
Amy Zhao
Mert R. Sabuncu
John V. Guttag
Adrian V. Dalca
An Unsupervised Learning Model for Deformable Medical Image Registration.
2018
abs/1802.02604
CoRR
http://arxiv.org/abs/1802.02604
db/journals/corr/corr1802.html#abs-1802-02604
Yingying Zhu 0004
Mert R. Sabuncu
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome.
2018
abs/1803.05011
CoRR
http://arxiv.org/abs/1803.05011
db/journals/corr/corr1803.html#abs-1803-05011
Adrian V. Dalca
Guha Balakrishnan
John V. Guttag
Mert R. Sabuncu
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.
2018
abs/1805.04605
CoRR
http://arxiv.org/abs/1805.04605
db/journals/corr/corr1805.html#abs-1805-04605
Zhilu Zhang
Mert R. Sabuncu
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels.
2018
abs/1805.07836
CoRR
http://arxiv.org/abs/1805.07836
db/journals/corr/corr1805.html#abs-1805-07836
Meenakshi Khosla
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
3D Convolutional Neural Networks for Classification of Functional Connectomes.
2018
abs/1806.04209
CoRR
http://arxiv.org/abs/1806.04209
db/journals/corr/corr1806.html#abs-1806-04209
Adrian V. Dalca
Katherine L. Bouman
William T. Freeman
Natalia S. Rost
Mert R. Sabuncu
Polina Golland
Medical Image Imputation from Image Collections.
2018
abs/1808.05732
CoRR
http://arxiv.org/abs/1808.05732
db/journals/corr/corr1808.html#abs-1808-05732
Guha Balakrishnan
Amy Zhao
Mert R. Sabuncu
John V. Guttag
Adrian V. Dalca
VoxelMorph: A Learning Framework for Deformable Medical Image Registration.
2018
abs/1809.05231
CoRR
http://arxiv.org/abs/1809.05231
db/journals/corr/corr1809.html#abs-1809-05231
Meenakshi Khosla
Keith Jamison
Amy Kuceyeski
Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for connectome-based prediction.
2018
abs/1809.06219
CoRR
http://arxiv.org/abs/1809.06219
db/journals/corr/corr1809.html#abs-1809-06219
Evan M. Yu
Mert R. Sabuncu
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures.
2018
abs/1810.07746
CoRR
http://arxiv.org/abs/1810.07746
db/journals/corr/corr1810.html#abs-1810-07746
Meenakshi Khosla
Keith Jamison
Gia H. Ngo
Amy Kuceyeski
Mert R. Sabuncu
Machine learning in resting-state fMRI analysis.
2018
abs/1812.11477
CoRR
http://arxiv.org/abs/1812.11477
db/journals/corr/corr1812.html#abs-1812-11477
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.
1243-1244
2017
12
Int. J. Comput. Assist. Radiol. Surg.
8
https://doi.org/10.1007/s11548-017-1642-1
https://www.wikidata.org/entity/Q47879715
db/journals/cars/cars12.html#OurselinSWJUM17
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).
1
2017
41
Medical Image Anal.
https://doi.org/10.1016/j.media.2017.06.012
https://www.wikidata.org/entity/Q48623490
db/journals/mia/mia41.html#OurselinSWJUM17
Iman Aganj
Juan Eugenio Iglesias
Martin Reuter 0001
Mert Rory Sabuncu
Bruce Fischl
Mid-space-independent deformable image registration.
158-170
2017
152
NeuroImage
https://doi.org/10.1016/j.neuroimage.2017.02.055
https://www.wikidata.org/entity/Q38938936
db/journals/neuroimage/neuroimage152.html#AganjI0SF17
Karl-Heinz Nenning
Hesheng Liu
Satrajit S. Ghosh
Mert R. Sabuncu
Ernst Schwartz
Georg Langs
Diffeomorphic functional brain surface alignment: Functional demons.
456-465
2017
156
NeuroImage
https://doi.org/10.1016/j.neuroimage.2017.04.028
https://www.wikidata.org/entity/Q38833674
db/journals/neuroimage/neuroimage156.html#NenningLGSSL17
Adrian V. Dalca
Katherine L. Bouman
William T. Freeman
Natalia S. Rost
Mert R. Sabuncu
Polina Golland
Population Based Image Imputation.
659-671
2017
IPMI
https://doi.org/10.1007/978-3-319-59050-9_52
https://www.wikidata.org/entity/Q47555177
conf/ipmi/2017
db/conf/ipmi/ipmi2017.html#DalcaBFRSG17
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 0001
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
GRAIL/MFCA/MICGen@MICCAI
Springer
2017
Lecture Notes in Computer Science
10551
978-3-319-67674-6
978-3-319-67675-3
https://doi.org/10.1007/978-3-319-67675-3
db/conf/miccai/grail2017.html
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
MICCAI (1)
2016
Lecture Notes in Computer Science
9900
978-3-319-46719-1
https://doi.org/10.1007/978-3-319-46720-7
db/conf/miccai/miccai2016-1.html
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
MICCAI (2)
2016
Lecture Notes in Computer Science
9901
978-3-319-46722-1
https://doi.org/10.1007/978-3-319-46723-8
db/conf/miccai/miccai2016-2.html
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
MICCAI (3)
2016
Lecture Notes in Computer Science
9902
978-3-319-46725-2
https://doi.org/10.1007/978-3-319-46726-9
db/conf/miccai/miccai2016-3.html
Juan Eugenio Iglesias
Mert R. Sabuncu
Multi-atlas segmentation of biomedical images: A survey.
205-219
2015
24
Medical Image Anal.
1
https://doi.org/10.1016/j.media.2015.06.012
https://www.wikidata.org/entity/Q26825130
db/journals/mia/mia24.html#IglesiasS15
Iman Aganj
Martin Reuter 0001
Mert R. Sabuncu
Bruce Fischl
Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint.
238-251
2015
106
NeuroImage
https://doi.org/10.1016/j.neuroimage.2014.10.059
https://www.wikidata.org/entity/Q34857424
db/journals/neuroimage/neuroimage106.html#AganjRSF15
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.
451-463
2015
106
NeuroImage
https://doi.org/10.1016/j.neuroimage.2014.11.031
https://www.wikidata.org/entity/Q34857330
db/journals/neuroimage/neuroimage106.html#IglesiasSABCSBF15
Mert R. Sabuncu
Jorge L. Bernal-Rusiel
Martin Reuter 0001
Douglas N. Greve
Bruce Fischl
Corrigendum to "Event time analysis of longitudinal neuroimage data" [NeuroImage 97 (15 August 2014) 9-18].
74
2015
108
NeuroImage
https://doi.org/10.1016/j.neuroimage.2014.12.051
https://www.wikidata.org/entity/Q63387027
db/journals/neuroimage/neuroimage108.html#SabuncuBRGF15
Jorge L. Bernal-Rusiel
Douglas N. Greve
Martin Reuter 0001
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].
110
2015
108
NeuroImage
https://doi.org/10.1016/j.neuroimage.2014.12.053
https://www.wikidata.org/entity/Q63387030
db/journals/neuroimage/neuroimage108.html#Bernal-RusielGR15
Jorge L. Bernal-Rusiel
Martin Reuter 0001
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].
123
2015
108
NeuroImage
https://doi.org/10.1016/j.neuroimage.2014.12.052
https://www.wikidata.org/entity/Q63387028
db/journals/neuroimage/neuroimage108.html#Bernal-RusielRG15
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.
505-514
2015
109
NeuroImage
https://doi.org/10.1016/j.neuroimage.2015.01.029
https://www.wikidata.org/entity/Q35117929
db/journals/neuroimage/neuroimage109.html#GeNGMSS15
Mert R. Sabuncu
Ender Konukoglu
Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study.
31-46
2015
13
Neuroinformatics
1
https://doi.org/10.1007/s12021-014-9238-1
https://www.wikidata.org/entity/Q35002215
db/journals/ni/ni13.html#SabuncuK15
Iman Aganj
Juan Eugenio Iglesias
Martin Reuter 0001
Mert R. Sabuncu
Bruce Fischl
Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration.
263-271
2015
MICCAI (2)
https://doi.org/10.1007/978-3-319-24571-3_32
https://www.wikidata.org/entity/Q62497238
conf/miccai/2015-2
db/conf/miccai/miccai2015-2.html#AganjIRSF15
Mert R. Sabuncu
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data.
411-418
2015
MICCAI (3)
https://doi.org/10.1007/978-3-319-24574-4_49
https://www.wikidata.org/entity/Q63387026
conf/miccai/2015-3
db/conf/miccai/miccai2015-3.html#Sabuncu15
Adrian V. Dalca
Ramesh Sridharan
Mert R. Sabuncu
Polina Golland
Predictive Modeling of Anatomy with Genetic and Clinical Data.
519-526
2015
MICCAI (3)
https://doi.org/10.1007/978-3-319-24574-4_62
https://www.wikidata.org/entity/Q62497232
conf/miccai/2015-3
db/conf/miccai/miccai2015-3.html#DalcaSSG15
Mert R. Sabuncu
Jorge L. Bernal-Rusiel
Martin Reuter 0001
Douglas N. Greve
Bruce Fischl
Event time analysis of longitudinal neuroimage data.
9-18
2014
97
NeuroImage
https://doi.org/10.1016/j.neuroimage.2014.04.015
https://www.wikidata.org/entity/Q30801659
db/journals/neuroimage/neuroimage97.html#SabuncuBRGF14
Mert R. Sabuncu
A Universal and Efficient Method to Compute Maps from Image-Based Prediction Models.
353-360
2014
MICCAI (3)
https://doi.org/10.1007/978-3-319-10443-0_45
https://www.wikidata.org/entity/Q63387032
conf/miccai/2014-3
db/conf/miccai/miccai2014-3.html#Sabuncu14
Koenraad Van Leemput
Mert R. Sabuncu
A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth.
398-406
2014
MICCAI (1)
https://doi.org/10.1007/978-3-319-10404-1_50
https://www.wikidata.org/entity/Q55949127
conf/miccai/2014-1
db/conf/miccai/miccai2014-1.html#LeemputS14
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.
773-780
2014
MICCAI (2)
https://doi.org/10.1007/978-3-319-10470-6_96
https://www.wikidata.org/entity/Q63387033
conf/miccai/2014-2
db/conf/miccai/miccai2014-2.html#DalcaSCFKFRWSRG14
Juan Eugenio Iglesias
Mert Rory Sabuncu
Multi-Atlas Segmentation of Biomedical Images: A Survey.
2014
abs/1412.3421
CoRR
http://arxiv.org/abs/1412.3421
db/journals/corr/corr1412.html#IglesiasS14
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.
1477-1492
2013
25
J. Cogn. Neurosci.
9
https://doi.org/10.1162/jocn_a_00405
https://www.wikidata.org/entity/Q37156971
db/journals/jocn/jocn25.html#GreveHCSSFB13
Juan Eugenio Iglesias
Mert R. Sabuncu
Koen Van Leemput
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry.
766-778
2013
17
Medical Image Anal.
7
https://doi.org/10.1016/j.media.2013.04.005
https://www.wikidata.org/entity/Q30541738
db/journals/mia/mia17.html#IglesiasSL13
Juan Eugenio Iglesias
Mert Rory Sabuncu
Koen Van Leemput
A unified framework for cross-modality multi-atlas segmentation of brain MRI.
1181-1191
2013
17
Medical Image Anal.
8
https://doi.org/10.1016/j.media.2013.08.001
https://www.wikidata.org/entity/Q41865254
db/journals/mia/mia17.html#IglesiasSL13a
Jorge L. Bernal-Rusiel
Douglas N. Greve
Martin Reuter 0001
Bruce Fischl
Mert R. Sabuncu
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.
249-260
2013
66
NeuroImage
https://doi.org/10.1016/j.neuroimage.2012.10.065
https://www.wikidata.org/entity/Q30576007
db/journals/neuroimage/neuroimage66.html#Bernal-RusielGRFS13
Jorge L. Bernal-Rusiel
Martin Reuter 0001
Douglas N. Greve
Bruce Fischl
Mert R. Sabuncu
Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data.
358-370
2013
81
NeuroImage
https://doi.org/10.1016/j.neuroimage.2013.05.049
https://www.wikidata.org/entity/Q30486156
db/journals/neuroimage/neuroimage81.html#Bernal-RusielRGFS13
Iman Aganj
B. T. Thomas Yeo
Mert R. Sabuncu
Bruce Fischl
On Removing Interpolation and Resampling Artifacts in Rigid Image Registration.
816-827
2013
22
IEEE Trans. Image Process.
2
https://doi.org/10.1109/TIP.2012.2224356
https://www.wikidata.org/entity/Q30573810
db/journals/tip/tip22.html#AganjYSF13
Nematollah Batmanghelich
Adrian V. Dalca
Mert R. Sabuncu
Polina Golland
Joint Modeling of Imaging and Genetics.
766-777
2013
IPMI
https://doi.org/10.1007/978-3-642-38868-2_64
https://www.wikidata.org/entity/Q37691977
conf/ipmi/2013
db/conf/ipmi/ipmi2013.html#BatmanghelichDSG13
Iman Aganj
Martin Reuter 0001
Mert R. Sabuncu
Bruce Fischl
Symmetric non-rigid image registration via an adaptive quasi-volume-preserving constraint.
230-233
2013
conf/isbi/2013
ISBI
https://doi.org/10.1109/ISBI.2013.6556454
https://www.wikidata.org/entity/Q35146469
db/conf/isbi/isbi2013.html#AganjRSF13
Mert R. Sabuncu
A Bayesian Algorithm for Image-Based Time-to-Event Prediction.
74-81
2013
MLMI
https://doi.org/10.1007/978-3-319-02267-3_10
https://www.wikidata.org/entity/Q63387034
conf/miccai/2013mlmi
db/conf/miccai/mlmi2013.html#Sabuncu13
Ender Konukoglu
André J. W. van der Kouwe
Mert Rory Sabuncu
Bruce Fischl
Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions.
131-138
2013
MICCAI (1)
https://doi.org/10.1007/978-3-642-40811-3_17
https://www.wikidata.org/entity/Q63387035
conf/miccai/2013-1
db/conf/miccai/miccai2013-1.html#KonukogluKSF13
Melanie Ganz
Mert R. Sabuncu
Koen Van Leemput
An Improved Optimization Method for the Relevance Voxel Machine.
147-154
2013
MLMI
https://doi.org/10.1007/978-3-319-02267-3_19
https://www.wikidata.org/entity/Q54243791
conf/miccai/2013mlmi
db/conf/miccai/mlmi2013.html#GanzSL13
Ender Konukoglu
Melanie Ganz
Koen Van Leemput
Mert R. Sabuncu
On Feature Relevance in Image-Based Prediction Models: An Empirical Study.
171-178
2013
MLMI
https://doi.org/10.1007/978-3-319-02267-3_22
https://www.wikidata.org/entity/Q54243802
conf/miccai/2013mlmi
db/conf/miccai/mlmi2013.html#KonukogluGLS13
Juan Eugenio Iglesias
Mert R. Sabuncu
Koen Van Leemput
A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion.
576-583
2013
MICCAI (3)
https://doi.org/10.1007/978-3-642-40760-4_72
https://www.wikidata.org/entity/Q55949135
conf/miccai/2013-3
db/conf/miccai/miccai2013-3.html#IglesiasSL13
Koene R. A. Van Dijk
Mert R. Sabuncu
Randy L. Buckner
The influence of head motion on intrinsic functional connectivity MRI.
431-438
2012
59
NeuroImage
1
https://doi.org/10.1016/j.neuroimage.2011.07.044
https://www.wikidata.org/entity/Q36932627
db/journals/neuroimage/neuroimage59.html#DijkSB12
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.
1428-1443
2012
61
NeuroImage
4
https://doi.org/10.1016/j.neuroimage.2012.03.026
https://www.wikidata.org/entity/Q36810603
db/journals/neuroimage/neuroimage61.html#WinklerSYFGKNBG12
Mert R. Sabuncu
Koen Van Leemput
The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction.
2290-2306
2012
31
IEEE Trans. Medical Imaging
12
https://doi.org/10.1109/TMI.2012.2216543
https://www.wikidata.org/entity/Q36758255
db/journals/tmi/tmi31.html#SabuncuL12
Juan Eugenio Iglesias
Mert R. Sabuncu
Koen Van Leemput
A generative model for multi-atlas segmentation across modalities.
888-891
2012
ISBI
https://doi.org/10.1109/ISBI.2012.6235691
https://www.wikidata.org/entity/Q39583356
conf/isbi/2012
db/conf/isbi/isbi2012.html#IglesiasSL12
Juan Eugenio Iglesias
Mert R. Sabuncu
Koen Van Leemput
Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry.
50-57
2012
MICCAI (3)
https://doi.org/10.1007/978-3-642-33454-2_7
https://www.wikidata.org/entity/Q55949172
conf/miccai/2012-3
db/conf/miccai/miccai2012-3.html#IglesiasSL12a
Juan Eugenio Iglesias
Mert R. Sabuncu
Koen Van Leemput
A Generative Model for Probabilistic Label Fusion of Multimodal Data.
115-133
2012
MBIA
https://doi.org/10.1007/978-3-642-33530-3_10
https://www.wikidata.org/entity/Q55949165
conf/miccai/2012mbia
db/conf/miccai/mbia2012.html#IglesiasSL12
Polina Golland
Mert R. Sabuncu
Modeling anatomical heterogeneity in populations.
5776-5779
2011
ICASSP
https://doi.org/10.1109/ICASSP.2011.5947673
https://www.wikidata.org/entity/Q63387038
conf/icassp/2011
db/conf/icassp/icassp2011.html#GollandS11
Mert R. Sabuncu
Koen Van Leemput
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction.
99-106
2011
MICCAI (3)
https://doi.org/10.1007/978-3-642-23626-6_13
https://www.wikidata.org/entity/Q55949178
conf/miccai/2011-3
db/conf/miccai/miccai2011-3.html#SabuncuL11
B. T. Thomas Yeo
Mert R. Sabuncu
Tom Vercauteren
Nicholas Ayache
Bruce Fischl
Polina Golland
Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration.
650-668
2010
29
IEEE Trans. Medical Imaging
3
https://doi.org/10.1109/TMI.2009.2030797
https://www.wikidata.org/entity/Q33821746
db/journals/tmi/tmi29.html#YeoSVAFG10
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.
1424-1441
2010
29
IEEE Trans. Medical Imaging
7
https://doi.org/10.1109/TMI.2010.2049497
https://www.wikidata.org/entity/Q37164119
db/journals/tmi/tmi29.html#YeoSVHAZGF10
Mert R. Sabuncu
B. T. Thomas Yeo
Koenraad Van Leemput
Bruce Fischl
Polina Golland
A Generative Model for Image Segmentation Based on Label Fusion.
1714-1729
2010
29
IEEE Trans. Medical Imaging
10
https://doi.org/10.1109/TMI.2010.2050897
https://www.wikidata.org/entity/Q24600552
db/journals/tmi/tmi29.html#SabuncuYLFG10
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.
85-94
2010
STACOM/CESC
https://doi.org/10.1007/978-3-642-15835-3_9
https://www.wikidata.org/entity/Q62499232
conf/miccai/2010stacom
db/conf/miccai/stacom2010.html#DepaSHNSG10
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.
279-290
2009
85
Int. J. Comput. Vis.
3
https://doi.org/10.1007/s11263-009-0217-1
https://www.wikidata.org/entity/Q40290428
db/journals/ijcv/ijcv85.html#ZiyanSGW09
Mert R. Sabuncu
Serdar K. Balci
Martha Elizabeth Shenton
Polina Golland
Image-Driven Population Analysis Through Mixture Modeling.
1473-1487
2009
28
IEEE Trans. Medical Imaging
9
https://doi.org/10.1109/TMI.2009.2017942
https://www.wikidata.org/entity/Q33705373
db/journals/tmi/tmi28.html#SabuncuBSG09
Kilian M. Pohl
Mert R. Sabuncu
A Unified Framework for MR Based Disease Classification.
300-313
2009
IPMI
https://doi.org/10.1007/978-3-642-02498-6_25
https://www.wikidata.org/entity/Q63387039
conf/ipmi/2009
db/conf/ipmi/ipmi2009.html#PohlS09
Mert R. Sabuncu
Image-Driven Population Analysis Through Mixture Modeling.
825-825
2009
ISBI
https://doi.org/10.1109/ISBI.2009.5193178
https://www.wikidata.org/entity/Q63387041
conf/isbi/2009
db/conf/isbi/isbi2009.html#Sabuncu09
Mert R. Sabuncu
B. T. Thomas Yeo
Koen Van Leemput
Tom Vercauteren
Polina Golland
Asymmetric Image-Template Registration.
565-573
2009
MICCAI (1)
https://doi.org/10.1007/978-3-642-04268-3_70
https://www.wikidata.org/entity/Q55949186
conf/miccai/2009-1
db/conf/miccai/miccai2009-1.html#SabuncuYLVG09
B. T. Thomas Yeo
Mert R. Sabuncu
Polina Golland
Bruce Fischl
Task-Optimal Registration Cost Functions.
598-606
2009
MICCAI (1)
https://doi.org/10.1007/978-3-642-04268-3_74
https://www.wikidata.org/entity/Q63387042
conf/miccai/2009-1
db/conf/miccai/miccai2009-1.html#YeoSGF09
Mert R. Sabuncu
B. T. Thomas Yeo
Koen Van Leemput
Bruce Fischl
Polina Golland
Supervised Nonparametric Image Parcellation.
1075-1083
2009
MICCAI (1)
https://doi.org/10.1007/978-3-642-04271-3_130
https://www.wikidata.org/entity/Q55949188
conf/miccai/2009-2
db/conf/miccai/miccai2009-2.html#SabuncuYLFG09
B. T. Thomas Yeo
Mert R. Sabuncu
Rahul Desikan
Bruce Fischl
Polina Golland
Effects of registration regularization and atlas sharpness on segmentation accuracy.
603-615
2008
12
Medical Image Anal.
5
https://doi.org/10.1016/j.media.2008.06.005
https://www.wikidata.org/entity/Q37042414
db/journals/mia/mia12.html#YeoSDFG08
Mert R. Sabuncu
Peter J. Ramadge
Using Spanning Graphs for Efficient Image Registration.
788-797
2008
17
IEEE Trans. Image Process.
5
https://doi.org/10.1109/TIP.2008.918951
https://www.wikidata.org/entity/Q51889069
db/journals/tip/tip17.html#SabuncuR08
Mert R. Sabuncu
Serdar K. Balci
Polina Golland
Discovering Modes of an Image Population through Mixture Modeling.
381-389
2008
MICCAI (2)
https://doi.org/10.1007/978-3-540-85990-1_46
https://www.wikidata.org/entity/Q62488126
conf/miccai/2008-2
db/conf/miccai/miccai2008-2.html#SabuncuBG08
B. T. Thomas Yeo
Mert R. Sabuncu
Tom Vercauteren
Nicholas Ayache
Bruce Fischl
Polina Golland
Spherical Demons: Fast Surface Registration.
745-753
2008
MICCAI (1)
https://doi.org/10.1007/978-3-540-85988-8_89
https://www.wikidata.org/entity/Q63387044
conf/miccai/2008-1
db/conf/miccai/miccai2008-1.html#YeoSVAFG08
Sune Darkner
Mert R. Sabuncu
Polina Golland
Rasmus R. Paulsen
Rasmus Larsen 0001
Analysis of Surfaces Using Constrained Regression Models.
842-849
2008
MICCAI (1)
https://doi.org/10.1007/978-3-540-85988-8_100
https://www.wikidata.org/entity/Q61994485
conf/miccai/2008-1
db/conf/miccai/miccai2008-1.html#DarknerSGPL08
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.
1-8
2007
ICCV
https://doi.org/10.1109/ICCV.2007.4409157
https://doi.ieeecomputersociety.org/10.1109/ICCV.2007.4409157
https://www.wikidata.org/entity/Q30973705
conf/iccv/2007
db/conf/iccv/iccv2007.html#YeoSMAZGF07
Ulas Ziyan
Mert R. Sabuncu
W. Eric L. Grimson
Carl-Fredrik Westin
A Robust Algorithm for Fiber-Bundle Atlas Construction.
1-8
2007
ICCV
https://doi.org/10.1109/ICCV.2007.4409143
https://doi.ieeecomputersociety.org/10.1109/ICCV.2007.4409143
https://www.wikidata.org/entity/Q63387045
conf/iccv/2007
db/conf/iccv/iccv2007.html#ZiyanSGW07
Ulas Ziyan
Mert R. Sabuncu
Lauren O'Donnell
Carl-Fredrik Westin
Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles.
351-358
2007
conf/miccai/2007-1
MICCAI (1)
https://doi.org/10.1007/978-3-540-75757-3_43
https://www.wikidata.org/entity/Q62489319
db/conf/miccai/miccai2007-1.html#ZiyanSOW07
B. T. Thomas Yeo
Mert R. Sabuncu
Rahul Desikan
Bruce Fischl
Polina Golland
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy.
683-691
2007
conf/miccai/2007-1
MICCAI (1)
https://doi.org/10.1007/978-3-540-75757-3_83
https://www.wikidata.org/entity/Q62489265
db/conf/miccai/miccai2007-1.html#YeoSDFG07
Mert Rory Sabuncu
Peter J. Ramadge
Graph-theoretic image registration using prior examples.
1-4
2005
EUSIPCO
https://ieeexplore.ieee.org/document/7078252/
conf/eusipco/2005
db/conf/eusipco/eusipco2005.html#SabuncuR05
Mert R. Sabuncu
Peter J. Ramadge
Gradient Based Optimization of an EMST Image Registration Function.
253-256
2005
ICASSP (2)
https://doi.org/10.1109/ICASSP.2005.1415389
https://www.wikidata.org/entity/Q63387046
conf/icassp/2005
db/conf/icassp/icassp2005.html#SabuncuR05
Mert R. Sabuncu
Peter J. Ramadge
Fast alignment of digital images using a lower bound on an entropy metric.
1919-1922
2004
conf/icip/2004
ICIP
db/conf/icip/icip2004-3.html#SabuncuR04
Mert R. Sabuncu
Peter J. Ramadge
Spatial Information in Entropy-Based Image Registration.
132-141
https://doi.org/10.1007/978-3-540-39701-4_14
2003
conf/wbir/2003
WBIR
db/conf/wbir/wbir2003.html#SabuncuR03
Iman Aganj
Subhi Al'Aref
Emily J. Allen
Katrin Amunts
Tal Arbel
Nicholas Ayache
Cagla Deniz Bahadir
Guha Balakrishnan
Serdar K. Balci
Kayhan BatmanghelichNematollah Kayhan BatmanghelichNematollah Batmanghelich
Jorge L. Bernal-Rusiel
Priyanka Bhatt
John Blangero
Katherine L. Bouman
Adam L. Boxer
William Browne
Marc Brysbaert
Randy L. Buckner
Victor Ion Butoi
Danilo Bzdok
Qing Cai
Manuel Jorge CardosoM. Jorge Cardoso
Christen Casillas
Qi Chang
Chao Chen 0012
Jianzhong Chen
Michelle Chen
Nancy F. Chen
Yong Chen
Yunchan Chen
Candace Chien
Lisa Cloonan
Sol De Leon Cruz
Adrian V. DalcaAdrian Vasile Dalca
Sune Darkner
Shourov Deb
Yuntian Deng
Michal Depa
Rahul Desikan
Koene R. A. Van Dijk
Simon Dunham
Stanley Durrleman
Simon B. Eickhoff
Anne Eden Evins
Linjing Fang
Jiashi Feng
Jannatul Ferdous
Enzo Ferrante
Bruce Fischl
Kaitlin M. Fitzpatrick
P. Thomas FletcherTom Fletcher
William T. Freeman
Karen L. Furie
Melanie Ganz
Vianne R. Gao
Susan A. Gauthier
Tian Ge
Debashis Ghosh
Satrajit S. Ghosh
Jodi M. Gilman
David C. Glahn
Polina Golland
Douglas N. Greve
W. Eric L. Grimson
Zijin Gu
Ajay Gupta
John V. Guttag
Alon Hacohen
Lise Van der Haegen
Mohammad Haft-Javaherian
Tong He
Xinzi He
Avram J. Holmes
Godtfred Holmvang
Daphne J. Holt
Juan Eugenio Iglesias
Alzheimer's Disease Neuroimaging Initiative
Keith Jamison
Sarang C. Joshi
Leo Joskowicz
Allison Kanakis
Batuhan K. Karaman
Kendrick N. Kay
Meenakshi Khosla
Heejong Kim
Jeremy Kim
Peter V. Kochunov
Ru Kong
Ender Konukoglu
André J. W. van der Kouwe
Ilhami Kovanlikaya
Amy Kuceyeski
Volodymyr Kuleshov
Georg Langs
Rasmus Larsen 0001
Aaron K. LaViolette
Benjamin Lee
Benjamin C. Lee
Hyeon Woo Lee
Ian Lee
Koenraad Van LeemputKoen Van Leemput
Chao Li
Jiahao Li
Jingwei Li 0003
Zhaozhi Li
Benjamin Liechty
Raphaël Liégeois
Hesheng Liu
Jun Liu 0007
Zhe Liu 0042
Tianyu Ma
Andreas K. Maier
Lena Maier-Hein
Anne L. Martel
Dimitris N. Metaxas
James K. Min
Hartmut Mohlberg
Leo Moon
Elizabeth C. Mormino
Bobak Mosadegh
Victorine P. Muse
Thomas Naselaris
Karl-Heinz Nenning
Reza Nezafat
Hoang Gia NgoGia H. Ngo
Minh Nguyen 0002
Thanh D. Nguyen
Thomas E. Nichols
Mads Nielsen
Nozomi Nishimura
Lauren O'Donnell
Olachi Oleru
Hanley Ong
Csaba Orban
Jose Javier Gonzalez Ortiz
Sébastien Ourselin
Weishen Pan
Bartlomiej Wladyslaw PapiezBartlomiej W. Papiez
Sarah Parisot
Rasmus R. Paulsen
Xavier Pennec
David J. Pisapia
Kilian M. Pohl
Hui Qu
Suraj Rajendran
Marianne Rakic
Peter J. Ramadge
Richa Rastogi
Martin Reuter 0001
Leslie Revatta
Jonathan Rosand
Jacob Rosenthal
Natalia S. Rost
David H. Salat
Rachit Saluja
Chris B. Schaffer
Yair Schiff
Ehud J. Schmidt
Ernst Schwartz
Li Shen 0001
Yichen Shen
Martha Elizabeth Shenton
Gurpreet Singh
Jordan W. Smoller
Stefan Sommer
Aristeidis Sotiras
Pascal Spincemaille
Ramesh Sridharan
Ghislain St-Yves
Danail Stoyanov
Steven M. Stufflebeam
Lin Sun
Nanbo Sun
Yanrui Tan
Zeike A. TaylorZeike Taylor
Gozde UnalGözde B. Ünal
Tom Vercauteren
Amar Vora
Alan Wang
Alan Q. Wang
Fei Wang 0001
Yi Wang 0028
William M. Wells III
Carl-Fredrik Westin
Anderson M. Winkler
Ona Wu
Yihan Wu
Herrick Wun
Chris Xu
B. T. Thomas Yeo
Sean I. Young
Evan M. Yu
Hang Zhang 0010
Jinwei Zhang
Qihao Zhang
Shun Zhang
Tong Zhang 0001
Yikai Zhang
Zhilu Zhang
Amy Zhao
George Zhou
Jiayu Zhou
Yingying Zhu 0004
Karl Zilles
Ulas Ziyan