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
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Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
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- 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
- Barnes, 2004, Differentiating AD from aging using semiautomated measurement of hippocampal atrophy rates, NeuroImage, 23, 574, 10.1016/j.neuroimage.2004.06.028 · DOI
- Fox, 2004, Imaging cerebral atrophy: normal ageing to Alzheimer's disease, Lancet, 363, 392, 10.1016/S0140-6736(04)15441-X · DOI · Paper page
- 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
- 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
- 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
- Miller, 2004, Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms, NeuroImage, 23, S19, 10.1016/j.neuroimage.2004.07.021 · DOI
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- 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
- 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
The minimal preprocessing pipelines for the Human Connectome Project
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.127 · Cited by 5,253
Self-citationThe Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Harmonization of cortical thickness measurements across scanners and sites
Fortin, J.-P., Cullen, N., Sheline, Y. I., Taylor, W. D., Aselcioglu, I., Cook, P. A., Adams, P., Cooper, C., Fava, M., McGrath, P. J., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.024 · Cited by 1,580
Jack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., Shiung, M. M., Gunter, J. L., Boeve, B. F., Kemp, B. J., et al. (2009) · Brain · doi:10.1093/brain/awp062 · Cited by 1,099
Cole, J. H., Poudel, R. P. K., Tsagkrasoulis, D., Caan, M. W. A., Steves, C., Spector, T. D., & Montana, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.059 · Cited by 872
“This agrees broadly with previous studies investigating the reliability of T1-MRI measures in multi-centre settings (Jovicich et al., 2006; Schnack et al., 2004).”
Result
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)
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- CoChat. (2026). Citation check: Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data. https://app.cochat.ai/papers/10.1016/j.neuroimage.2005.09.046
- The paper
- 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. (2006). Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data. NeuroImage. https://doi.org/10.1016/j.neuroimage.2005.09.046
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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.
