voxelmorph
Science Score: 18.0%
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✓CITATION.cff file
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○.zenodo.json file
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Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: Wang-Guoxin
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 59.5 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
Citation
README.md
voxelmorph
Owner
- Name: Guoxin Wang
- Login: Wang-Guoxin
- Kind: user
- Repositories: 1
- Profile: https://github.com/Wang-Guoxin
Citation (citations.bib)
@article{dalca2019learning,
title={Learning Conditional Deformable Templates with Convolutional Networks},
author={Dalca, Adrian V and Rakic, Marianne and Guttag, John and Sabuncu, Mert R},
journal={NeurIPS: Neural Information Processing Systems},
year={2019}
}
@article{dalca2019varreg,
title={Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces},
author={Adrian V. Dalca and Balakrishnan, Guha and Guttag, John and Sabuncu, Mert},
journal={Medical Image Analysis},
pages={226--236},
volume={57},
year={2019}
}
@article{dalca2018varreg,
title={Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration},
author={Adrian V. Dalca and Balakrishnan, Guha and Guttag, John and Sabuncu, Mert},
journal={MICCAI: Medical Image Computing and Computer Assisted Intervention, LNCS},
volume={11070},
pages={729--738},
year={2018}
}
@article{balakrishnan2019tmi,
title={VoxelMorph: A Learning Framework for Deformable Medical Image Registration},
author={Balakrishnan, Guha and Zhao, Amy and Sabuncu, Mert and Guttag, John and Adrian V. Dalca},
journal={IEEE TMI: Transactions on Medical Imaging},
volume={38},
issue={8},
pages={1788--1800},
organization={IEEE},
year={2019}
}
@article{balakrishnan2018reg,
title={An Unsupervised Learning Model for Deformable Medical Image Registration},
author={Balakrishnan, Guha and Zhao, Amy and Sabuncu, Mert and Guttag, John and Adrian V. Dalca},
journal={CVPR: Computer Vision and Pattern Recognition},
pages={9252--9260},
year={2018}
}
@inproceedings{dalca2019unsupervised,
title={Unsupervised deep learning for Bayesian brain MRI segmentation},
author={Dalca, Adrian V and Yu, Evan and Golland, Polina and Fischl, Bruce and Sabuncu, Mert R and Iglesias, Juan Eugenio},
booktitle={MICCAI: Medical Image Computing and Computer Assisted Intervention, LNCS},
volume={11766},
pages={356--365},
year={2019}
}
@article{hoopes2022learning,
title={Learning the Effect of Registration Hyperparameters with HyperMorph},
author={Hoopes, Andrew and Hoffmann, Malte and Greve, Douglas N and Fischl, Bruce and Guttag, John and Dalca, Adrian V and others},
journal={Machine Learning for Biomedical Imaging},
volume={1},
number={IPMI 2021 special issue},
pages={1--30},
year={2022}
}
@article{hoopes2021hypermorph,
title={HyperMorph: Amortized Hyperparameter Learning for Image Registration},
author={Hoopes, Andrew and Hoffmann, Malte and Fischl, Bruce and Guttag, John and Dalca, Adrian V},
journal={arXiv preprint arXiv:2101.01035},
year={2021}
}
@inproceedings{hoffmann2023anatomy,
title={Anatomy-specific acquisition-agnostic affine registration learned from fictitious images},
author={Hoffmann, Malte and Hoopes, Andrew and Fischl, Bruce and Dalca, Adrian V},
booktitle={Medical Imaging 2023: Image Processing},
volume={12464},
pages={1246402},
year={2023},
organization={SPIE}
}
@article{hoffmann2022synthmorph,
title={SynthMorph: learning contrast-invariant registration without acquired images},
author={Hoffmann, Malte and Billot, Benjamin and Greve, Douglas N and Iglesias, Juan Eugenio and Fischl, Bruce and Dalca, Adrian V},
journal={IEEE Transactions on Medical Imaging},
volume={41},
number={3},
pages={543--558},
year={2022},
publisher={IEEE}
}
@article{hoffmann2021learning,
title={Learning MRI Contrast-Agnostic Registration},
author={Hoffmann, Malte and Billot, Benjamin and Eugenio Iglesias, Juan and Fischl, Bruce and Dalca, Adrian V},
journal={ISBI: IEEE International Symposium on Biomedical Imaging},
pages={899--903},
year={2021}
}
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Dependencies
setup.py
pypi
- h5py *
- neurite >=0.2
- nibabel *
- numpy *
- packaging *
- scikit-image *
- scipy *