The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Review of brain MRI image segmentation methods
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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
Scale-space and edge detection using anisotropic diffusion
Perona, P., & Malik, J. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.56205 · Cited by 12,119
Chan, T. F., & Vese, L. A. (2001) · IEEE Transactions on Image Processing · doi:10.1109/83.902291 · Cited by 10,304
A Non-Local Algorithm for Image Denoising
Buades, A., Coll, B., & Morel, J.-M. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.38 · Cited by 7,616
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
Vincent, L., & Soille, P. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.87344 · Cited by 5,649
Caselles, V., Kimmel, R., & Sapiro, G. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007979827043 · Cited by 5,244
A fast marching level set method for monotonically advancing fronts.
Sethian, J. A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.4.1591 · Cited by 3,221
Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
Alvarez, L., Lions, P.-L., & Morel, J.-M. (1992) · SIAM Journal on Numerical Analysis · doi:10.1137/0729052 · Cited by 2,208
Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
Catté, F., Lions, P.-L., Morel, J.-M., & Coll, T. (1992) · SIAM Journal on Numerical Analysis · doi:10.1137/0729012 · Cited by 1,468
A Fast Level Set Method for Propagating Interfaces
Adalsteinsson, D., & Sethian, J. A. (1995) · Journal of Computational Physics · doi:10.1006/jcph.1995.1098 · Cited by 1,326
Cited by
Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., et al. (2020) · Radiology · doi:10.1148/radiol.2020191145 · Cited by 4,177
A survey of MRI-based medical image analysis for brain tumor studies
Bauer, S., Wiest, R., Nolte, L.-P., & Reyes, M. (2013) · Physics in Medicine and Biology · doi:10.1088/0031-9155/58/13/r97 · Cited by 1,036
Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images
Zhuang, X. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2869576 · Cited by 394
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans
Mendrik, A. M., Vincken, K. L., Kuijf, H. J., Breeuwer, M., Bouvy, W. H., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., et al. (2015) · Computational Intelligence and Neuroscience · doi:10.1155/2015/813696 · Cited by 261
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Thaha, M. M., Kumar, K. P. M., Murugan, B. S., Dhanasekeran, S., Vijayakarthick, P., & Selvi, A. S. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1416-0 · Cited by 244
Metadata
- Authors
- Balafar, M. A., Ramli, A. R., Saripan, M. I., & Mashohor, S.
- Venue
- Artificial Intelligence Review
- Published
- 2010-01-22
- Volume
- 33
- Issue
- 3
- Pages
- 261-274
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2047568922
- Cited by
- 438
- References
- 34
- FWCI
- 25.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Review of brain MRI image segmentation methods. https://app.cochat.ai/papers/10.1007/s10462-010-9155-0
- The paper
- Balafar, M. A., Ramli, A. R., Saripan, M. I., & Mashohor, S. (2010). Review of brain MRI image segmentation methods. Artificial Intelligence Review. https://doi.org/10.1007/s10462-010-9155-0
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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.
