The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformations
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Citations
Cites
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 2×
“Conversely, highdimensional warping algorithms (Christensen et al., 1993, 1996; Collins et al., 1994a; Rabbitt et al., 1995; Thirion, 1995; Davatzikos, 1996; Thompson and Toga, 1996a, Bro- Nielsen and Gramkow, 1996) can also be used to transfer all the information in a 3-”
BackgroundMethodThree-dimensional statistical analysis of sulcal variability in the human brain
Thompson, P. M., Schwartz, C., Lin, R. T., Khan, A. A., & Toga, A. W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04261.1996 · Cited by 346
Self-citation
Cited by
Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., et al. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,347
Self-citationCurrent Methods in Medical Image Segmentation
Pham, D. L., Xu, C., & Prince, J. L. (2000) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.2.1.315 · Cited by 2,341
Deformable models in medical image analysis: a survey
McInerney, T., & Terzopoulos, D. (1996) · Medical Image Analysis · doi:10.1016/s1361-8415(96)80007-7 · Cited by 1,913
Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging
Lenroot, R. K., & Giedd, J. N. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.001 · Cited by 1,863
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132
Self-citation
Metadata
- Authors
- Thompson, P. M., & Toga, A. W.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 1997-09
- Volume
- 1
- Issue
- 4
- Pages
- 271-294
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W2035964780
- Cited by
- 227
- References
- 2
- FWCI
- 15.53
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformations. https://app.cochat.ai/papers/10.1016/s1361-8415(97)85002-5
- The paper
- Thompson, P. M., & Toga, A. W. (1997). Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformations. Medical Image Analysis. https://doi.org/10.1016/s1361-8415(97)85002-5
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.