The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation
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Cites
Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,070
Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
Osher, S., & Sethian, J. A. (1988) · Journal of Computational Physics · doi:10.1016/0021-9991(88)90002-2 · Cited by 14,062
Chan, T. F., & Vese, L. A. (2001) · IEEE Transactions on Image Processing · doi:10.1109/83.902291 · Cited by 10,304
Optimal approximations by piecewise smooth functions and associated variational problems
Mumford, D., & Shah, J. (1989) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.3160420503 · Cited by 5,208
Snakes, shapes, and gradient vector flow
Xu, C., & Prince, J. L. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.661186 · Cited by 4,001
Shape modeling with front propagation: a level set approach
Malladi, R., Sethian, J. A., & Vemuri, B. C. (1995) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.368173 · Cited by 3,158
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
Vese, L. A., & Chan, T. F. (2002) · International Journal of Computer Vision · doi:10.1023/a:1020874308076 · Cited by 2,384
Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Li, C., Xu, C., Gui, C., & Fox, M. D. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2069690 · Cited by 2,106
Self-citationLevel Set Evolution without Re-Initialization: A New Variational Formulation
Li, C., Xu, C., Gui, C., & Fox, M. D. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.213 · Cited by 1,783
Self-citationA geometric model for active contours in image processing
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Cited by
Radiomics: the process and the challenges
Kumar, V., Gu, Y., Basu, S., Berglund, A., Eschrich, S. A., Schabath, M. B., Forster, K., Aerts, H. J. W. L., Dekker, A., Fenstermacher, D., et al. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.06.010 · Cited by 2,258
“Many popular segmentation algorithms have been applied in medical imaging studies within the last 20 years; the most popular ones include region-growing methods [31,32], level set methods [33–38], graph cut methods [39–44], active contours (snake) algorithms [45–49] and semiautomatic segmentations such as livewires [5…”
MethodTau protein aggregation is associated with cellular senescence in the brain
Musi, N., Valentine, J. M., Sickora, K. R., Baeuerle, E., Thompson, C. S., Shen, Q., & Orr, M. E. (2018) · Aging Cell · doi:10.1111/acel.12840 · Cited by 595
Local‐ and Global‐Statistics‐Based Active Contour Model for Image Segmentation
Wu, B., & Yang, Y. (2012) · Mathematical Problems in Engineering · doi:10.1155/2012/791958 · Cited by 30
Objective ventricle segmentation in brain CT with ischemic stroke based on anatomical knowledge
Qian, X., Lin, Y., Zhao, Y., Yue, X., Lu, B., & Wang, J. (2017) · BioMed Research International · doi:10.1155/2017/8690892 · Cited by 21
Metadata
- Authors
- Wang, L., Li, C., Sun, Q., Xia, D., & Kao, C.-Y.
- Venue
- Computerized Medical Imaging and Graphics
- Publisher
- Elsevier BV
- Published
- 2009-10
- Volume
- 33
- Issue
- 7
- Pages
- 520-531
- ISSN
- 0730-4862 (ISSN-L)
- 0895-6111
- OpenAlex
- W2095049733
- Cited by
- 405
- References
- 29
- FWCI
- 17.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation. https://app.cochat.ai/papers/10.1016/j.compmedimag.2009.04.010
- The paper
- Wang, L., Li, C., Sun, Q., Xia, D., & Kao, C.-Y. (2009). Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation. Computerized Medical Imaging and Graphics. https://doi.org/10.1016/j.compmedimag.2009.04.010
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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.
