The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision
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Citations
Cites
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.
Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767596 · Cited by 17,949
Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,070
A Wavelet Tour of Signal Processing
(1999) · Elsevier eBooks · doi:10.1016/b978-0-12-466606-1.x5000-4 · Cited by 16,227
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
Caselles, V., Kimmel, R., & Sapiro, G. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007979827043 · Cited by 5,244
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
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
Adams, R., & Bischof, L. (1994) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.295913 · Cited by 3,138
On active contour models and balloons
Cohen, L. D. (1991) · CVGIP: Image Understanding · doi:10.1016/1049-9660(91)90028-n · Cited by 2,153
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
Cited by
Computing geodesics and minimal surfaces via graph cuts
Boykov, & Kolmogorov (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238310 · Cited by 555
Whitford, T. J., Lee, S. W., Oh, J. S., de Luis-Garcia, R., Savadjiev, P., Alvarado, J. L., Westin, C.-F., Niznikiewicz, M., Nestor, P. G., McCarley, R. W., et al. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.06.003 · Cited by 74
Metadata
- Authors
- Paragios, N., & Deriche, R.
- Venue
- Journal of Visual Communication and Image Representation
- Publisher
- Elsevier BV
- Published
- 2002-03
- Volume
- 13
- Issue
- 1-2
- Pages
- 249-268
- ISSN
- 1047-3203 (ISSN-L)
- OpenAlex
- W2044562173
- Cited by
- 358
- References
- 25
- FWCI
- 21.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision. https://app.cochat.ai/papers/10.1006/jvci.2001.0475
- The paper
- Paragios, N., & Deriche, R. (2002). Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision. Journal of Visual Communication and Image Representation. https://doi.org/10.1006/jvci.2001.0475
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.
