The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
New methods for MRI denoising based on sparseness and self-similarity
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Citations
Cites
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
A Wavelet Tour of Signal Processing
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$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
Aharon, M., Elad, M., & Bruckstein, A. (2006) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2006.881199 · Cited by 9,451
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
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
Self-citationVisual pattern recognition by moment invariants
Hu, M.-K. (1962) · IEEE Transactions on Information Theory · doi:10.1109/tit.1962.1057692 · Cited by 7,546
Image analysis via the general theory of moments*
Teague, M. R. (1980) · Journal of the Optical Society of America · doi:10.1364/josa.70.000920 · Cited by 2,276
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
An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images
Barillot, C., Inserm, H. I., & Barillot, C. (2007) · Cited by 1,207
Nonlinear anisotropic filtering of MRI data
Gerig, G., Kubler, O., Kikinis, R., & Jolesz, F. A. (1992) · IEEE Transactions on Medical Imaging · doi:10.1109/42.141646 · Cited by 1,149
Cited by
Diffusion Weighted Image Denoising Using Overcomplete Local PCA
Manjón, J. V., Coupé, P., Concha, L., Buades, A., Collins, D. L., & Robles, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073021 · Cited by 417
Self-citationA review on medical image denoising algorithms
Mohd Sagheer, S. V., & George, S. N. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102036 · Cited by 316
A survey on the magnetic resonance image denoising methods
Mohan, J., Krishnaveni, V., & Guo, Y. (2014) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2013.10.007 · Cited by 295
Stolp, H. B., Ball, G., So, P.-W., Tournier, J.-D., Jones, M., Thornton, C., & Edwards, A. D. (2018) · Scientific Reports · doi:10.1038/s41598-018-22295-9 · Cited by 59
Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence
Azadeh, S., Hobbs, B. P., Ma, L., Nielsen, D. A., Gerard Moeller, F., & Baladandayuthapani, V. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.033 · Cited by 12
Metadata
- Authors
- Manjón, J. V., Coupé, P., Buades, A., Louis Collins, D., & Robles, M.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 16
- Issue
- 1
- Pages
- 18-27
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W2014940628
- Cited by
- 271
- References
- 29
- FWCI
- 16.56
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: New methods for MRI denoising based on sparseness and self-similarity. https://app.cochat.ai/papers/10.1016/j.media.2011.04.003
- The paper
- Manjón, J. V., Coupé, P., Buades, A., Louis Collins, D., & Robles, M. (2012). New methods for MRI denoising based on sparseness and self-similarity. Medical Image Analysis. https://doi.org/10.1016/j.media.2011.04.003
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.
