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VoxelMorph: A Learning Framework for Deformable Medical Image Registration

IEEE transactions on medical imaging, 2019-08, Vol.38 (8), p.1788-1800

2019

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IEEE_Xplore

Automated segmentation of the hypothalamus and associated subunits in brain MRI

NeuroImage (Orlando, Fla.), 2020-12, Vol.223, p.117287-117287, Article 117287

2020

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SynthStrip: skull-stripping for any brain image

NeuroImage (Orlando, Fla.), 2022-10, Vol.260, p.119474-119474, Article 119474

2022

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Cortical surface registration using unsupervised learning

NeuroImage (Orlando, Fla.), 2020-11, Vol.221, p.117161-117161, Article 117161

2020

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SHRiMP: accurate mapping of short color-space reads

PLoS computational biology, 2009-05, Vol.5 (5), p.e1000386-e1000386

2009

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Mapping the subcortical connectivity of the human default mode network

NeuroImage (Orlando, Fla.), 2021-12, Vol.245, p.118758-118758, Article 118758

2021

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

1, 2021

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A robust and interpretable deep learning framework for multi-modal registration via keypoints

Medical image analysis, 2023-12, Vol.90, p.102962-102962, Article 102962

2023

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Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration

PloS one, 2022-02, Vol.17 (2), p.e0263922-e0263922

2022

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Hyper-convolutions via implicit kernels for medical image analysis

Medical image analysis, 2023-05, Vol.86, p.102796-102796, Article 102796

2023

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Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI

IEEE transactions on computational imaging, 2020, Vol.6, p.1139-1152

2020

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IEEE_Xplore

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces

Medical image analysis, 2019-10, Vol.57, p.226-236

2019

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Imaging Genetics

Adrian Dalca, Kayhan N. Batmanghelich, Mert Sabuncu, Li Shen

1, 2017

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Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG

NeuroImage (Orlando, Fla.), 2021-08, Vol.237, p.118113-118113, Article 118113

2021

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SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images

IEEE transactions on medical imaging, 2022-03, Vol.41 (3), p.543-558

2022

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Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.729-738

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SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Medical image analysis, 2023-05, Vol.86, p.102789-102789, Article 102789

2023

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Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements

IEEE transactions on computational imaging, 2018-12, Vol.4 (4), p.512-527

2018

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IEEE_Xplore

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

IEEE transactions on medical imaging, 2023-03, Vol.42 (3), p.1-1

2023

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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

1st ed. 2018., 2018

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Supervision by Denoising

IEEE transactions on pattern analysis and machine intelligence, 2023-07, Vol.PP, p.1-12

2023

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IEEE_Xplore

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

1, 2023

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1st Edition 2022, 2022

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Generative Adversarial Registration for Improved Conditional Deformable Templates

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021, p.3909-3921

2021

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IEEE_Xplore

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

Medical image analysis, 2020-07, Vol.63, p.101698-101698, Article 101698

2020

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VoxelMorph: A Learning Framework for Deformable Medical Image Registration

Automated segmentation of the hypothalamus and associated subunits in brain MRI

SynthStrip: skull-stripping for any brain image

Cortical surface registration using unsupervised learning

SHRiMP: accurate mapping of short color-space reads

Mapping the subcortical connectivity of the human default mode network

A robust and interpretable deep learning framework for multi-modal registration via keypoints

Augmenting existing deterioration indices with chest radiographs to predict clinical deterioration

Hyper-convolutions via implicit kernels for medical image analysis

Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces

Imaging Genetics

Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG

SynthMorph: Learning Contrast-Invariant Registration Without Acquired Images

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

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

Supervision by Denoising

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Generative Adversarial Registration for Improved Conditional Deformable Templates

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

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