The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity Effects
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
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
Self-citation
Cited by
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Craft, S., Raman, R., Chow, T. W., Rafii, M. S., Sun, C.-K., Rissman, R. A., Donohue, M. C., Brewer, J. B., Jenkins, C., Harless, K., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1840 · Cited by 389
Language‐association cortex asymmetry in autism and specific language impairment
De Fossé, L., Hodge, S. M., Makris, N., Kennedy, D. N., Caviness, V. S., McGrath, L., Steele, S., Ziegler, D. A., Herbert, M. R., Frazier, J. A., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20275 · Cited by 339
AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation
Coupé, P., Mansencal, B., Clément, M., Giraud, R., Denis de Senneville, B., Ta, V.-T., Lepetit, V., & Manjon, J. V. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117026 · Cited by 206
Evaluating fMRI preprocessing pipelines
Strother, S. C. (2006) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2006.1607667 · Cited by 169
Metadata
- Authors
- Arnold, J. B., Liow, J.-S., Schaper, K. A., Stern, J. J., Sled, J. G., Shattuck, D. W., Worth, A. J., Cohen, M. S., Leahy, R. M., Mazziotta, J. C., & Rottenberg, D. A.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2001-05
- Volume
- 13
- Issue
- 5
- Pages
- 931-943
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2129571271
- Cited by
- 172
- References
- 1
- FWCI
- 7.29
- 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: Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity Effects. https://app.cochat.ai/papers/10.1006/nimg.2001.0756
- The paper
- Arnold, J. B., Liow, J.-S., Schaper, K. A., Stern, J. J., Sled, J. G., Shattuck, D. W., Worth, A. J., Cohen, M. S., Leahy, R. M., Mazziotta, J. C., & Rottenberg, D. A. (2001). Qualitative and Quantitative Evaluation of Six Algorithms for Correcting Intensity Nonuniformity Effects. NeuroImage. https://doi.org/10.1006/nimg.2001.0756
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.