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TransMorph: Transformer for unsupervised medical image registration
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Cited by
Seoni, S., Jahmunah, V., Salvi, M., Barua, P. D., Molinari, F., & Acharya, U. R. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107441 · Cited by 239
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A review of deep learning-based deformable medical image registration
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Metadata
- Authors
- Chen, J., Frey, E. C., He, Y., Segars, W. P., Li, Y., & Du, Y.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2022-11
- Volume
- 82
- Pages
- 102615
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W4226497331
- Cited by
- 804
- References
- 104
- FWCI
- 48.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 692 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
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- CoChat. (2026). Citation check: TransMorph: Transformer for unsupervised medical image registration. https://app.cochat.ai/papers/10.1016/j.media.2022.102615
- The paper
- Chen, J., Frey, E. C., He, Y., Segars, W. P., Li, Y., & Du, Y. (2022). TransMorph: Transformer for unsupervised medical image registration. Medical Image Analysis. https://doi.org/10.1016/j.media.2022.102615
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
