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Region-based strategies for active contour models
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Citations
Cited by
Image matching as a diffusion process: an analogy with maxwell’s demons
Thirion, J.-P. (1998) · Medical Image Analysis · doi:10.1016/s1361-8415(98)80022-4 · Cited by 2,445
Yu, L., Guo, Y., Wang, Y., Yu, J., & Chen, P. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2628401 · Cited by 96
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
Metadata
- Authors
- Ronfard, R.
- Venue
- International Journal of Computer Vision
- Published
- 1994-10
- Volume
- 13
- Issue
- 2
- Pages
- 229-251
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2023297597
- Cited by
- 641
- References
- 0
- FWCI
- 14.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Region-based strategies for active contour models. https://app.cochat.ai/papers/10.1007/bf01427153
- The paper
- Ronfard, R. (1994). Region-based strategies for active contour models. International Journal of Computer Vision. https://doi.org/10.1007/bf01427153
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.
