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Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.0772Source: DataRank Database

Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging is a research paper published in JAMA Network Open (2020). On theSindex it has a DataRank of 0. It has been cited 173 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access173 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (25)IDs (PubMed, PMC)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Yuan Xie ORCID,Thoralf Thamm ORCID,Enhao Gong ORCID,Jiahong Ouyang ORCID,Charles Huang ORCID

Live enrichment

PubMed:32163165 PMC:PMC7068232

NINDS NIH HHS

Grant: R01 NS039325

National Institutes of Health

Grant: 5R01NS039325-02

NEW MRI TECHNIQUES PRIOR TO T-PA THERAPY AFTER STROKE

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 5R01NS066506-08

Imaging Collaterals in Acute Stroke (iCAS)

goldLicense: cc-by

publisherhttps://jamanetwork.com/journals/jamanetworkopen/articlepdf/2762679/yu_2020_oi_200050_1602778823.39892.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7068232

Europe_PMChttps://europepmc.org/articles/PMC7068232

https://doi.org/10.1001/jamanetworkopen.2020.0772

https://pubmed.ncbi.nlm.nih.gov/32163165

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansBrain IschemiaMagnetic Resonance ImagingPrognosisRetrospective StudiesPatient SelectionAgedMiddle AgedFemaleMaleDeep Learning

Keywords

MalePatient SelectionMiddle AgedPrognosisMagnetic Resonance ImagingBrain IschemiaDeep LearningHumansFemaleOriginal InvestigationAgedRetrospective Studies

Sustainable Development Goals

SDG 3: 3. Good health