The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Spatial Models for Fuzzy Clustering
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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
Spline Models for Observational Data.
Muller, H.-G., & Wahba, G. (1991) · Journal of the American Statistical Association · doi:10.2307/2290434 · Cited by 4,928
A validity measure for fuzzy clustering
Xie, X. L., & Beni, G. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.85677 · Cited by 3,385
A possibilistic approach to clustering
Krishnapuram, R., & Keller, J. M. (1993) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.227387 · Cited by 2,496
Design and construction of a realistic digital brain phantom
Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.712135 · Cited by 1,822
Unsupervised optimal fuzzy clustering
Gath, I., & Geva, A. B. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192473 · Cited by 1,640
A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms
Bezdek, J. C. (1980) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1980.4766964 · Cited by 980
Review of MR image segmentation techniques using pattern recognition
Bezdek, J. C., Hall, L. O., & Clarke, L. P. (1993) · Medical Physics · doi:10.1118/1.597000 · Cited by 953
Adaptive fuzzy segmentation of magnetic resonance images
Pham, D. L., & Prince, J. L. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.802752 · Cited by 805
Self-citationSpline models for observational data
de Boor, C. (1991) · Journal of Approximation Theory · doi:10.1016/0021-9045(91)90041-8 · Cited by 729
Cited by
Shen, S., Sandham, W., Granat, M., & Sterr, A. (2005) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.847500 · Cited by 377
A review of Methods for Bias Correction in Medical Images
Song, S., Zheng, Y., & He, Y. (2017) · Biomedical Engineering Review · doi:10.18103/bme.v3i1.1550 · Cited by 62
Metadata
- Authors
- Pham, D. L.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2001-11
- Volume
- 84
- Issue
- 2
- Pages
- 285-297
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2036458679
- Cited by
- 405
- References
- 16
- FWCI
- 4.24
- 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.
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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: Spatial Models for Fuzzy Clustering. https://app.cochat.ai/papers/10.1006/cviu.2001.0951
- The paper
- Pham, D. L. (2001). Spatial Models for Fuzzy Clustering. Computer Vision and Image Understanding. https://doi.org/10.1006/cviu.2001.0951
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.
