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Semi-automated Segmentation and Quantification of Perivascular Spaces at 7 Tesla in COVID-19

Frontiers in Neurology(2022)10.3389/fneur.2022.846957Source: DataRank Database

Semi-automated Segmentation and Quantification of Perivascular Spaces at 7 Tesla in COVID-19 is a research paper published in Frontiers in Neurology (2022). On theSindex it has a DataRank of 0. It has been cited 20 times.

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Authors (17)

D. Smith,Gaurav Verma ORCID,Oleksandr Khegai,Sera Saju,Shams Rashid ORCID

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PubMed:35432151 PMC:PMC9010775

National Institutes of Health

Grant: R01CA202911

National Institutes of Health

Grant: R21NS122389

goldLicense: cc-by

publisherhttps://www.frontiersin.org/articles/10.3389/fneur.2022.846957/pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9010775

repositoryhttps://doaj.org/article/ab530360094a4b4185f827386ba6cc0e

Europe_PMChttps://europepmc.org/articles/PMC9010775

Europe_PMChttps://europepmc.org/articles/PMC9010775?pdf=render

Keywords

Coronavirusneuroinflammation7 T MriSemiautomatedVirchow Robin SpacesFrangi Filter

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Semi-automated Segmentation and Quantification of Perivascular Spaces at 7 Tesla in COVID-19

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Authors (17)

Funding (2 grants)

Open Access

Topics

Annotations (Europe PMC)

Related Papers (10)