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
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Self-citationOptimal approximations by piecewise smooth functions and associated variational problems
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Active Contours without Edges for Vector-Valued Images
Chan, T. F., Sandberg, B. Y., & Vese, L. A. (2000) · Journal of Visual Communication and Image Representation · doi:10.1006/jvci.1999.0442 · Cited by 687
Self-citationVariational Methods in Image Segmentation
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An Active Contour Model without Edges
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Self-citationAn axiomatic approach to image interpolation
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A Level Set Model for Image Classification
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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
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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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.
