The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
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Citations
Cites
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
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A performance evaluation of local descriptors
Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723
AVANTS, B., EPSTEIN, C., GROSSMAN, M., & GEE, J. (2008) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,669
Nonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265
Multimodality image registration by maximization of mutual information
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Medical image analysis: progress over two decades and the challenges ahead
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Cited by
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
“[373] presented a new descriptor for multi-modal registration.”
BackgroundDeep learning in medical image registration: a survey
Haskins, G., Kruger, U., & Yan, P. (2020) · Machine Vision and Applications · doi:10.1007/s00138-020-01060-x · Cited by 704
Deep learning in medical image registration: a review
Fu, Y., Lei, Y., Wang, T., Curran, W. J., Liu, T., & Yang, X. (2020) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ab843e · Cited by 661
A review of multimodal image matching: Methods and applications
Jiang, X., Ma, J., Xiao, G., Shao, Z., & Guo, X. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.02.012 · Cited by 532
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Carass, A., Roy, S., Jog, A., Cuzzocreo, J. L., Magrath, E., Gherman, A., Button, J., Nguyen, J., Prados, F., Sudre, C. H., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.064 · Cited by 357
Metadata
- Authors
- Heinrich, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, S. M., & Schnabel, J. A.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 16
- Issue
- 7
- Pages
- 1423-1435
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W1983592655
- Cited by
- 707
- References
- 58
- FWCI
- 28.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. https://app.cochat.ai/papers/10.1016/j.media.2012.05.008
- The paper
- Heinrich, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, S. M., & Schnabel, J. A. (2012). MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Analysis. https://doi.org/10.1016/j.media.2012.05.008
Data sources
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.
