The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies
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Cites
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Vapnik, V. N. (2000) · Springer eBooks · doi:10.1007/978-1-4757-3264-1 · Cited by 10,696
Nonrigid registration using free-form deformations: application to breast mr images
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Self-citationSharing Visual Features for Multiclass and Multiview Object Detection
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Cited by
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans
Ghesu, F.-C., Georgescu, B., Zheng, Y., Grbic, S., Maier, A., Hornegger, J., & Comaniciu, D. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2782687 · Cited by 310
Wang, C.-W., Huang, C.-T., Hsieh, M.-C., Li, C.-H., Chang, S.-W., Li, W.-C., Vandaele, R., Maree, R., Jodogne, S., Geurts, P., et al. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2412951 · Cited by 235
Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search
Ni, D., Yang, X., Chen, X., Chin, C.-T., Chen, S., Heng, P. A., Li, S., Qin, J., & Wang, T. (2014) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2014.06.006 · Cited by 65
Yaqub, M., Kelly, B., Papageorghiou, A. T., & Noble, J. A. (2015) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-24574-4_82 · Cited by 56
Metadata
- Authors
- Criminisi, A., Shotton, J., Robertson, D., & Konukoglu, E.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 106-117
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1573412753
- Cited by
- 272
- References
- 20
- FWCI
- 30.61
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. https://app.cochat.ai/papers/10.1007/978-3-642-18421-5_11
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- Criminisi, A., Shotton, J., Robertson, D., & Konukoglu, E. (2011). Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-18421-5_11
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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.
