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Diffeomorphic demons: Efficient non-parametric image registration
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Cites
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Cited by
Deep learning in medical image analysis
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Elastix: a toolbox for intensity-based medical image registration
Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2035616 · Cited by 4,311
Deformable medical image registration: a survey
Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587
“The intensity-based update field was calculated as in [99].”
BackgroundMethodInfluentialA deep learning framework for unsupervised affine and deformable image registration
de Vos, B. D., Berendsen, F. F., Viergever, M. A., Sokooti, H., Staring, M., & Išgum, I. (2019) · Medical Image Analysis · doi:10.1016/j.media.2018.11.010 · Cited by 818
Metadata
- Authors
- Vercauteren, T., Pennec, X., Perchant, A., & Ayache, N.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 45
- Issue
- 1
- Pages
- S61-S72
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2103857226
- Cited by
- 1,592
- References
- 3
- FWCI
- 68.25
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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