The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
MRI denoising using Non-Local Means
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Bilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177 · cited 2×
“More recently, the trilateral filter (Wong and Chung, 2004), an evolution of the bilateral filter (Tomasi and Manduchi, 1998), has been proposed to take into account local structure in addition to intensity and geometric features.”
BackgroundSUSAN—a new approach to low level image processing
Smith, S. M., & Brady, J. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007963824710 · Cited by 3,333
Cited by
Denoising of diffusion MRI using random matrix theory
Veraart, J., Novikov, D. S., Christiaens, D., Ades-aron, B., Sijbers, J., & Fieremans, E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.016 · Cited by 1,905
Adaptive non‐local means denoising of MR images with spatially varying noise levels
Manjón, J. V., Coupé, P., Martí‐Bonmatí, L., Collins, D. L., & Robles, M. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22003 · Cited by 1,082
Self-citationWiest-Daesslé, N., Prima, S., Coupé, P., Morrissey, S. P., & Barillot, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-85990-1_21 · Cited by 276
Moradmand, H., Aghamiri, S. M. R., & Ghaderi, R. (2020) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.12795 · Cited by 173
Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means
Gal, Y., Mehnert, A. J. H., Bradley, A. P., McMahon, K., Kennedy, D., & Crozier, S. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2026575 · Cited by 78
Metadata
- Authors
- MANJON, J., CARBONELLCABALLERO, J., LULL, J., GARCIAMARTI, G., MARTIBONMATI, L., & ROBLES, M.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 12
- Issue
- 4
- Pages
- 514-523
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W2073660032
- Cited by
- 575
- References
- 3
- FWCI
- 24.34
- 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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MRI denoising using Non-Local Means. https://app.cochat.ai/papers/10.1016/j.media.2008.02.004
- The paper
- MANJON, J., CARBONELLCABALLERO, J., LULL, J., GARCIAMARTI, G., MARTIBONMATI, L., & ROBLES, M. (2008). MRI denoising using Non-Local Means. Medical Image Analysis. https://doi.org/10.1016/j.media.2008.02.004
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.