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SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury

Lecture notes in computer science(2025)10.1007/978-3-031-82007-6_19Source: DataRank Database

SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury is a research paper published in Lecture notes in computer science (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 70.21)OA: greenTopics (17)IDs (PubMed, 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 (12)

Jan Valošek ORCID,Lynn Farner ORCID,Dario Pfyffer ORCID,Simon Schading‐Sassenhausen ORCID,Anna Lebret ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4407262336

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

National Institutes of Health

Grant: 7R03HD094577-03

MRI and machine learning to improve early prognosis and clinical management after spinal cord injury

National Institutes of Health

Grant: 5K01HD106928-03

Improving mechanistic understanding of responsiveness to spinal cord stimulation after spinal cord injury

National Institutes of Health

Grant: 5K23NS104211-03

Neuroimaging-Based Brain and Spinal Cord Biomarkers for Cervical Radiculopathy

European Commission

Grant: 101107932

Traumatic Spinal Cord Injury: The Need to Classify Disease Severity

National Institutes of Health

Grant: 1R01NS128478-01A1

MRI-Derived Neuromuscular Signatures to Predict Surgical Response in Degenerative Cervical Myelopathy

FWCI

70.21

Citation Percentile

1.0%

Citation Trend

2025

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2407.17265

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-82007-6_19

repositoryhttp://arxiv.org/abs/2407.17265

book serieshttps://doi.org/10.1007/978-3-031-82007-6_19

Fields of Study

Spinal Cord Injury ResearchMedical Imaging and AnalysisCerebral Palsy and Movement Disorders

Keywords

Intramedullary rodComputer scienceSegmentationSpinal cord injurySpinal cordArtificial intelligenceNatural language processingMedicineSurgeryFOS: Computer and information sciencesArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition