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FFClust: Fast fiber clustering for large tractography datasets for a detailed study of brain connect...

FFClust: Fast fiber clustering for large tractography datasets for a detailed study of brain connect...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0efb165a2e5c4fc8a18895188280c49c

FFClust: Fast fiber clustering for large tractography datasets for a detailed study of brain connectivity

About this item

Full title

FFClust: Fast fiber clustering for large tractography datasets for a detailed study of brain connectivity

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2020-10, Vol.220, p.117070-117070, Article 117070

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Automated methods that can identify white matter bundles from large tractography datasets have several applications in neuroscience research. In these applications, clustering algorithms have shown to play an important role in the analysis and visualization of white matter structure, generating useful data which can be the basis for further studies...

Alternative Titles

Full title

FFClust: Fast fiber clustering for large tractography datasets for a detailed study of brain connectivity

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0efb165a2e5c4fc8a18895188280c49c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0efb165a2e5c4fc8a18895188280c49c

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2020.117070

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