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Towards contrast-agnostic soft segmentation of the spinal cord

Medical Image Analysis(2025)10.1016/j.media.2025.103473Source: DataRank Database

Towards contrast-agnostic soft segmentation of the spinal cord is a research paper published in Medical Image Analysis (2025). On theSindex it has a DataRank of 0. It has been cited 25 times.

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Open Access25 citations

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Linked data & code

Towards contrast-agnostic soft segmentation of the spinal cord · arXiv

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 8.53)OA: hybridTopics (37)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (8)

Enamundram Naga Karthik ORCID,Charidimos Tsagkas ORCID,Emanuele Pravatà ORCID,Cristina Granziera ORCID,Andrew C. Smith ORCID

Live enrichment

PubMed:39874684 PMC:PMC13110827 OpenAlex:https://openalex.org/W4406642521

Canadian Institutes of Health Research

Grant: PJT-190258

Natural Sciences and Engineering Research Council of Canada

Grant: RGPIN-2019-07244

Reseau de Bio-imagerie du Quebec

Grant: 35450

Fonds de recherche du Québec Santé

Grant: 322736

National Institute of Neurological Disorders and Stroke

Grant: L30NS108301

National Institute of Neurological Disorders and Stroke

Grant: K23NS104211

Eunice Kennedy Shriver National Institute of Child Health and Human Development

Grant: K01HD106928

Canada Foundation for Innovation

Grant: 34824

Canada Foundation for Innovation

Grant: 32454

Canada Research Chairs Program

Grant: 950-230815

Canadian Institutes of Health Research

Grant: unidentified

unidentified

National Institutes of Health

Grant: 5K23NS104211-03

Neuroimaging-Based Brain and Spinal Cord Biomarkers for Cervical Radiculopathy

Canada First Research Excellence Fund

Nature et technologies

National Institutes of Health

Boettcher Foundation

FWCI

8.53

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

hybridLicense: cc-by-nc

journalhttps://doi.org/10.1016/j.media.2025.103473

publisherhttps://doi.org/10.1016/j.media.2025.103473

publisherhttps://api.elsevier.com/content/article/PII:S1361841525000210?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1361841525000210?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39874684

Fields of Study

Medical Imaging and AnalysisMedical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Deep LearningAlgorithmsHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingSpinal Cord

Keywords

SegmentationArtificial intelligenceContrast (vision)Computer scienceComputer visionPattern recognition (psychology)AnatomyMedicineSpinal cordMRIPartial Volume EffectDeep LearningContrastsSoft LabelsFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionElectrical Engineering and Systems Science - Image and Video ProcessingMagnetic Resonance ImagingImage Interpretation, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringHumansContrasts; Deep learning; MRI; Partial volume effect; Segmentation; Soft labels; Spinal cordAlgorithms

Towards contrast-agnostic soft segmentation of the spinal cord

10.48550/arxiv.2310.15402arXiv