CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Neuroinformatics

• Publication date

  2016-04-12

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1007/s12021-016-9295-8PMID 27066973
• 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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  2016influential reference
• Large-scale validation of a computer-aided quantification for 123I-FP-CIT images

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