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Self‐supervised learning for denoising of multidimensional MRI data

Magnetic Resonance in Medicine(2024)10.1002/mrm.30197Source: DataRank Database

Self‐supervised learning for denoising of multidimensional MRI data is a research paper published in Magnetic Resonance in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (9 grants)Impact (FWCI 2.41)OA: hybridTopics (30)IDs (PubMed, PMC, 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 (5)

Wonil Lee ORCID,Hyunseok Seo ORCID,Hye‐Young Heo ORCID,HyunWook Park ORCID,Beomgu Kang ORCID

Live enrichment

PubMed:38934408 PMC:PMC11341249 OpenAlex:https://openalex.org/W4400089520

National Institutes of Health

Grant: R01EB029974

National Institutes of Health

Grant: R01NS112242

KIST Institutional Programs

Grant: 2E32901

KIST Institutional Programs

Grant: 2E3312K

KIST Institutional Programs

Grant: 2V10151

NIBIB NIH HHS

Grant: P41 EB031771

Korea Medical Device Development Fund grant funded by the Korea government

Grant: 1711138003

KIST Institutional Programs

Grant: 2E33141

National Research Foundation of Korea (NRF) grant funded by Korea government (MSIT)

Grant: RS202400338025

FWCI

2.41

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

hybridLicense: cc-by-nc-nd

journalhttps://doi.org/10.1002/mrm.30197

publisherhttps://doi.org/10.1002/mrm.30197

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.30197

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38934408

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11341249

Fields of Study

Advanced MRI Techniques and ApplicationsImage and Signal Denoising MethodsNMR spectroscopy and applications

MeSH Terms

Supervised Machine LearningDeep LearningAlgorithmsBrainHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingSignal-To-Noise Ratio

Keywords

Computer scienceArtificial intelligenceNoise reductionGeneralizability theoryPattern recognition (psychology)Noise (video)Ground truthRedundancy (engineering)Data setData miningMachine learningImage (mathematics)MathematicsStatisticsDiffusionDenoisingQuantitative MriMagnetization Transfer Contrast (Mtc)Self‐supervised Learning

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure