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Using an Ensemble of Segmentation Methods to Detect Vertebral Bodies on Radiographs.

PubMed(2024)10.3174/ajnr.a8343Source: DataRank Database

Using an Ensemble of Segmentation Methods to Detect Vertebral Bodies on Radiographs. is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)Impact (FWCI 0.00)OA: greenTopics (25)IDs (PubMed, PMC, OpenAlex)

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 (10)

Jonathan Renslo,Qifei Dong ORCID,Sandra K. Johnston ORCID,Jessica Perry,David R. Haynor ORCID

Live enrichment

PubMed:39209486 PMC:PMC11448993 OpenAlex:https://openalex.org/W4402147558

NIA NIH HHS

Grant: U01 AG027810

NIA NIH HHS

Grant: U01 AG042143

NIA NIH HHS

Grant: U01 AG042168

NIA NIH HHS

Grant: R01 AG066671

NIA NIH HHS

Grant: U01 AG042139

NIA NIH HHS

Grant: U01 AG042145

NCATS NIH HHS

Grant: UL1 TR000128

NIA NIH HHS

Grant: U01 AG042124

NIA NIH HHS

Grant: U01 AG042140

NIAMS NIH HHS

Grant: P30 AR072572

NHLBI NIH HHS

Grant: R01 HL142503

NLM NIH HHS

Grant: T15 LM007442

NIAMS NIH HHS

Grant: U01 AR066160

FWCI

0.00

Citation Percentile

0.1%

green

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11448993/pdf/zj41512.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11448993

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39209486

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11448993/

Fields of Study

Medical Imaging and AnalysisArtificial Intelligence in Healthcare and EducationSpinal Fractures and Fixation Techniques

MeSH Terms

Vertebral BodyAgedAged, 80 and overFemaleHumansLumbar VertebraeMaleRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesThoracic VertebraeSpinal FracturesNeural Networks, ComputerFractures, CompressionOsteoporotic Fractures

Keywords

MedicineRadiographySegmentationArtificial intelligenceRadiologyAnatomyComputer visionComputer science