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Lumbar Spinal Canal Segmentation in Cases with Lumbar Stenosis Using Deep-U-Net Ensembles

World Neurosurgery(2023)10.1016/j.wneu.2023.07.009Source: DataRank Database

Lumbar Spinal Canal Segmentation in Cases with Lumbar Stenosis Using Deep-U-Net Ensembles is a research paper published in World Neurosurgery (2023). On theSindex it has a DataRank of 0. It has been cited 12 times.

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12 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 1.12)OA: closedTopics (26)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (12)

Anshul Ratnaparkhi ORCID,David Zarrin ORCID,Kirstin Cook ORCID,Ien Li ORCID,Bayard Wilson ORCID

Live enrichment

PubMed:37437805 OpenAlex:https://openalex.org/W4383814469

National Institute of Biomedical Imaging and Bioengineering

Grant: R21 EB026665

National Institutes of Health

FWCI

1.12

Citation Percentile

0.7%

Citation Trend

2024

2025

2026

closedLicense: http://www.elsevier.com/open-access/userlicense/1.0/

publisherhttps://api.elsevier.com/content/article/PII:S1878875023009397?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1878875023009397?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.wneu.2023.07.009

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37437805

Fields of Study

Medical Imaging and AnalysisSpine and Intervertebral Disc PathologyCervical and Thoracic Myelopathy

MeSH Terms

Machine LearningAgedAlgorithmsConstriction, PathologicHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingSpinal Canal

Keywords

MedicineLumbarMagnetic resonance imagingSegmentationHausdorff distanceSpinal canalSpinal stenosisRadiologyArtificial intelligenceSpinal cordComputer scienceLumbar stenosisImage segmentationAutomated SegmentationDeep Learning

Lumbar Spinal Canal Segmentation in Cases with Lumbar Stenosis Using Deep-U-Net Ensembles

FAIR Checklist

Authors (12)

Funding (2 grants)

Impact

Open Access

Topics