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Cited by 2,212

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A hybrid approach to the skull stripping problem in MRI

Ségonne, F., Dale, A.M., Busa, E., Glessner, M., Salat, D., Hahn, H.K., Fischl, B.·2004·NeuroImage
DOI 10.1016/j.neuroimage.2004.03.032
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Research works printed but not linked: 31

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Metadata

Authors
Ségonne, F., Dale, A. M., Busa, E., Glessner, M., Salat, D., Hahn, H. K., & Fischl, B.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2004-07
Volume
22
Issue
3
Pages
1060-1075
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2004.03.032
OpenAlex
W2157270343
Cited by
2,212
References
2
FWCI
15.96
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: A hybrid approach to the skull stripping problem in MRI. https://app.cochat.ai/papers/10.1016/j.neuroimage.2004.03.032
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Ségonne, F., Dale, A. M., Busa, E., Glessner, M., Salat, D., Hahn, H. K., & Fischl, B. (2004). A hybrid approach to the skull stripping problem in MRI. NeuroImage. https://doi.org/10.1016/j.neuroimage.2004.03.032

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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.