The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A survey of medical image registration – under review
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Citations
Cites
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
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
Self-citationEvaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.037 · Cited by 2,227
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 · cited 2×
“There is a multitude of publications on nonlinear registration, witness the > 400 references on such methods in the survey article of Sotiras et al. (2013) .”
Cited by
An overview of deep learning in medical imaging focusing on MRI
Lundervold, A. S., & Lundervold, A. (2019) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2018.11.002 · Cited by 2,058
A 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
Self-citationWeakly-supervised convolutional neural networks for multimodal image registration
Hu, Y., Modat, M., Gibson, E., Li, W., Ghavami, N., Bonmati, E., Wang, G., Bandula, S., Moore, C. M., Emberton, M., et al. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.07.002 · Cited by 458
Glide-Hurst, C. K., Lee, P., Yock, A. D., Olsen, J. R., Cao, M., Siddiqui, F., Parker, W., Doemer, A., Rong, Y., Kishan, A. U., et al. (2021) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2020.10.021 · Cited by 317
Survey on deep learning for radiotherapy
Meyer, P., Noblet, V., Mazzara, C., & Lallement, A. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.018 · Cited by 302
Metadata
- Authors
- Viergever, M. A., Maintz, J. B. A., Klein, S., Murphy, K., Staring, M., & Pluim, J. P. W.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 33
- Pages
- 140-144
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W2468317448
- Cited by
- 318
- References
- 4
- FWCI
- 24.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Viergever, M. A., Maintz, J. B. A., Klein, S., Murphy, K., Staring, M., & Pluim, J. P. W. (2016). A survey of medical image registration – under review. Medical Image Analysis. https://doi.org/10.1016/j.media.2016.06.030
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
