Science Score: 18.0%

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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

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 *