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HDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint

Bioengineering(2024)10.3390/bioengineering12010008Source: DataRank Database

HDNLS: Hybrid Deep-Learning and Non-Linear Least Squares-Based Method for Fast Multi-Component T1ρ Mapping in the Knee Joint is a research paper published in Bioengineering (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.54)OA: goldTopics (15)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 (3)

Ravinder R. Regatte ORCID,Marcelo V. W. Zibetti ORCID,Dilbag Singh ORCID

Live enrichment

PubMed:39851282 OpenAlex:https://openalex.org/W4405782877

NIH

Grant: R01-AR076328-01A1

NIH

Grant: R01-AR076985-01A1

NIH

Grant: R01-AR078308-01A1

NIH

Grant: NIH P41-EB017183

FWCI

0.54

Citation Percentile

0.7%

Citation Trend

2025

goldLicense: cc-by

journalhttps://www.mdpi.com/2306-5354/12/1/8/pdf?version=1735121738

publisherhttps://www.mdpi.com/2306-5354/12/1/8/pdf?version=1735121738

publisherhttps://www.mdpi.com/2306-5354/12/1/8/pdf

journalhttps://doi.org/10.3390/bioengineering12010008

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39851282

Fields of Study

Advanced MRI Techniques and ApplicationsMedical Imaging Techniques and ApplicationsCardiac Imaging and Diagnostics

Keywords

Computer scienceArtificial intelligenceAlgorithmNoise (video)Sensitivity (control systems)Exponential functionRegularization (linguistics)Estimation theoryInverse problemComponent (thermodynamics)MathematicsImage (mathematics)