The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
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Citations
Cites
Normalized cuts and image segmentation
Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,502
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
Self-citationOptimal 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
Level Set Methods and Dynamic Implicit Surfaces
Osher, S., & Fedkiw, R. (2003) · Applied Mathematical Sciences · doi:10.1007/b98879 · Cited by 4,951
User’s guide to viscosity solutions of second order partial differential equations
Crandall, M. G., Ishii, H., & Lions, P.-L. (1992) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-1992-00266-5 · Cited by 4,781
Craggs, J. W. (1973) · The Mathematical Gazette · doi:10.2307/3615195 · Cited by 4,164
Sethian, J. A. (1999) · Cited by 3,622
Level Set Methods: An Overview and Some Recent Results
Osher, S., & Fedkiw, R. P. (2001) · Journal of Computational Physics · doi:10.1006/jcph.2000.6636 · Cited by 2,327
Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation
Zhu, S. C., & Yuille, A. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.537343 · Cited by 1,913
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Robust object tracking with online multiple instance learning
Babenko, B., Yang, M.-H., & Belongie, S. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.226 · Cited by 2,007
Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
Chan, T. F., Esedoglu, S., & Nikolova, M. (2006) · SIAM Journal on Applied Mathematics · doi:10.1137/040615286 · Cited by 1,049
Self-citationActive contours driven by local Gaussian distribution fitting energy
Wang, L., He, L., Mishra, A., & Li, C. (2009) · Signal Processing · doi:10.1016/j.sigpro.2009.03.014 · Cited by 466
A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes
Li, C., Wang, X., Eberl, S., Fulham, M., Yin, Y., Chen, J., & Feng, D. D. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2267212 · Cited by 139
(2013) · Liverpool John Moores University · Cited by 133
Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model
Ben Ayed, I., Hennane, N., & Mitiche, A. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.881961 · Cited by 70
An Adaptive Denoising and Detection Approach for Underwater Sonar Image
Wang, X., Li, Q., Yin, J., Han, X., & Hao, W. (2019) · Remote Sensing · doi:10.3390/rs11040396 · Cited by 34
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
Yang, J., Li, X., Xu, J., Cao, Y., Zhang, Y., Wang, L., & Jiang, S. (2018) · Applied Optics · doi:10.1364/ao.57.002490 · Cited by 29
Metadata
- Authors
- Vese, L. A., & Chan, T. F.
- Venue
- International Journal of Computer Vision
- Published
- 2002-12
- Volume
- 50
- Issue
- 3
- Pages
- 271-293
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2165734775
- Cited by
- 2,384
- References
- 26
- FWCI
- 44.18
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
