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@article{bb112602,
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@article{bb112635,
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@inproceedings{bb112637,
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@article{bb112638,
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@article{bb112639,
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@inproceedings{bb112648,
        AUTHOR = "Sommer, S. and Nielsen, M. and Pennec, X.",
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@article{bb112649,
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        AUTHOR = "Sommer, S. and Lauze, F. and Nielsen, M. and Pennec, X.",
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@article{bb112652,
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@article{bb112653,
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@article{bb112654,
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        AUTHOR = "Pai, A. and Sommer, S. and Darkner, S. and Sorensen, L. and Sporring, J. and Nielsen, M.",
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@article{bb112658,
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@article{bb112659,
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@article{bb112660,
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Approach for Cloud Free Multi-Temporal Image Registration",
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@inproceedings{bb112668,
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@inproceedings{bb112669,
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@article{bb112670,
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@article{bb112672,
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@article{bb112673,
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        TITLE = "Primal and Mixed Finite Element Methods for Deformable Image
Registration Problems",
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@article{bb112674,
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@article{bb112675,
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        TITLE = "Unsupervised Multistep Deformable Registration of Remote Sensing
Imagery Based on Deep Learning",
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@article{bb112676,
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        TITLE = "Uncertainty-Aware Annotation Protocol to Evaluate Deformable
Registration Algorithms",
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        PAGES = "2053-2065",
        BIBSOURCE = "http://www.visionbib.com/bibliography/match-pl494de1.html#TT109292"}

@article{bb112677,
        AUTHOR = "Barnafi, N. and Gatica, G.N. and Hurtado, D.E. and Miranda, W. and Ruiz Baier, R.",
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Posteriori Error Estimates for Primal and Mixed Formulations",
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@article{bb112678,
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        TITLE = "Learning Deformable Image Registration From Optimization:
Perspective, Modules, Bilevel Training and Beyond",
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@article{bb112679,
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        TITLE = "Self-Distilled Hierarchical Network for Unsupervised Deformable Image
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Deformable Image Registration",
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@inproceedings{bb112685,
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@inproceedings{bb112686,
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@inproceedings{bb112687,
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