Automatic Generation of Boundary Conditions Using Demons Nonrigid Image Registration for Use in 3-D Modality-Independent Elastography

No abstract is available for this paper.

• Publication year

  2011

• Venue

  IEEE Transactions on Biomedical Engineering

• Publication date

  2011-06-16

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1109/TBME.2011.2159791PMID 21690002PMCID PMC3819169
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  2005influential reference
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  1995cited by this paper
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  1991cited by this paper
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  1981cited by this paper

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