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Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging

NeuroImage(2020)10.1016/j.neuroimage.2020.117451Source: DataRank Database

Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging is a research paper published in NeuroImage (2020). On theSindex it has a DataRank of 0. It has been cited 15 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access15 citations

Free full text

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 1.16)OA: goldTopics (60)IDs (PubMed, OpenAlex)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 (8)

Thanh D. Nguyen ORCID,Amy Kuceyeski ORCID,Sarah Ryan ORCID,Shun Zhang ORCID,Lily Zexter

Live enrichment

PubMed:33069865 OpenAlex:https://openalex.org/W3093429277

National Multiple Sclerosis Society

Grant: RR-1602-07671

National Institutes of Health

Grant: R01 NS090464

National Institutes of Health

Grant: R01 NS104283

National Institutes of Health

Grant: R01 NS105144

National Institutes of Health

Grant: 5R01NS104283-04

Identifying mechanisms of tissue injury in MS lesions: a multi-modality imaging approach

National Institutes of Health

Grant: 1R01NS090464-01A1

Multiple Sclerosis Lesion Magnetic Susceptibility Activity

National Institutes of Health

Grant: 5R01NS105144-02

No-Gd MRI for Monitoring Disease Status in Multiple Sclerosis

NINDS NIH HHS

Grant: R21 NS104634

FWCI

1.16

Citation Percentile

0.8%

Citation Trend

2021

2022

2023

2024

2025

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.neuroimage.2020.117451

publisherhttps://doi.org/10.1016/j.neuroimage.2020.117451

publisherhttps://api.elsevier.com/content/article/PII:S1053811920309368?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1053811920309368?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33069865

Fields of Study

Radiomics and Machine Learning in Medical ImagingMultiple Sclerosis Research StudiesMathematical Biology Tumor Growth03 medical and health sciences0302 clinical medicineAdultBrainContrast MediaFemaleGadoliniumHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisReproducibility of ResultsTime Factors

MeSH Terms

Machine LearningAdultBrainContrast MediaFemaleGadoliniumHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisTime FactorsReproducibility of Results

Keywords

Random forestFluid-attenuated inversion recoveryMagnetic resonance imagingLesionMultiple sclerosisCutoffNuclear medicineMedicinePattern recognition (psychology)Feature (linguistics)Computer scienceArtificial intelligenceRadiologyPathologyPhysicsAdultMaleTime FactorsBrainContrast MediaReproducibility of ResultsNeurosciences. Biological psychiatry. NeuropsychiatryGadoliniumMiddle AgedArticleMachine LearningHumansFemaleRC321-571

Sustainable Development Goals

SDG 0: Life in Land