Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,265

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data

Open access
Jovicich, Jorge, Czanner, Silvester, Greve, Douglas, Haley, Elizabeth, van der Kouwe, Andre, Gollub, Randy, Kennedy, David, Schmitt, Franz, Brown, Gregory, MacFall, James, Fischl, Bruce, Dale, Anders·2006·NeuroImage

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2005.09.046

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Research works printed but not linked: 10

  1. Ashburner, 2003, Computer-assisted imaging to assess brain structure in healthy and diseased brains, Lancet Neurol., 79, 10.1016/S1474-4422(03)00304-1 · DOI · Paper page
  2. Barnes, 2004, Differentiating AD from aging using semiautomated measurement of hippocampal atrophy rates, NeuroImage, 23, 574, 10.1016/j.neuroimage.2004.06.028 · DOI
  3. Fox, 2004, Imaging cerebral atrophy: normal ageing to Alzheimer's disease, Lancet, 363, 392, 10.1016/S0140-6736(04)15441-X · DOI · Paper page
  4. Grundman, 2002, Alzheimer's disease cooperative study brain MRI hippocampal volume and prediction of clinical status in a mild cognitive impairment trial, J. Mol. Neurosci., 19, 23, 10.1007/s12031-002-0006-6 · DOI
  5. Janke, 2004, Use of spherical harmonic deconvolution methods to compensate for nonlinear gradient effects on MRI images, Magn. Reson. Med., 52, 115, 10.1002/mrm.20122 · doi:10.1002/mrm.20122
  6. Langlois, 1999, MRI geometric distortion: a simple approach to correcting the effects of non-linear gradient fields, J. Magn. Reson. Imaging, 9, 821, 10.1002/(SICI)1522-2586(199906)9:6<821::AID-JMRI9>3.0.CO;2-2 · doi:10.1002/(sici)1522-2586(199906)9:6<821::aid-jmri9>3.0.co;2-2
  7. Miller, 2004, Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms, NeuroImage, 23, S19, 10.1016/j.neuroimage.2004.07.021 · DOI
  8. Wang, 2004, Geometric distortion in clinical MRI systems Part I: evaluation using a 3 D phantom, Magn. Reson. Imaging, 22, 1211, 10.1016/j.mri.2004.08.012 · doi:10.1016/j.mri.2004.08.012
  9. Wang, 2004, A novel phantom and method for comprehensive 3-dimensional measurement and correction of geometric distortion in magnetic resonance imaging, Magn. Reson. Imaging, 22, 529, 10.1016/j.mri.2004.01.008 · doi:10.1016/j.mri.2004.01.008
  10. Wang, 2004, Geometric distortion in clinical MRI systems Part II: correction using a 3D phantom, Magn. Reson. Imaging, 22, 1223, 10.1016/j.mri.2004.08.014 · doi:10.1016/j.mri.2004.08.014

Cited by

See all 1,265

Metadata

Authors
Jovicich, J., Czanner, S., Greve, D., Haley, E., van der Kouwe, A., Gollub, R., Kennedy, D., Schmitt, F., Brown, G., MacFall, J., Fischl, B., & Dale, A.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2006-04
Volume
30
Issue
2
Pages
436-443
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2008152557
Cited by
1,265
References
1
FWCI
8.57
Type
journal article
Language
en
Open access
bronze
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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

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.