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Self‐Supervised Joint Reconstruction and Denoising of T2 ‐Weighted PROPELLER MRI of the Lung at 0.55T

Magnetic Resonance in Medicine(2025)10.1002/mrm.70224Source: DataRank Database

Self‐Supervised Joint Reconstruction and Denoising of T2 ‐Weighted PROPELLER MRI of the Lung at 0.55T is a research paper published in Magnetic Resonance in Medicine (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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Enrichment:Funding (7 grants)Impact (FWCI 1.17)OA: greenTopics (38)IDs (PubMed, PMC, OpenAlex)Annotations (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 (9)

Haoyang Pei ORCID,Christoph Maier ORCID,Mary Bruno ORCID,Qiuting Wen ORCID,Seon‐Hi Shin

Live enrichment

PubMed:41387224 PMC:PMC12854268 OpenAlex:https://openalex.org/W4417291165

National Institutes of Health

Grant: P41EB017183

National Institutes of Health

Grant: R01EB030549

National Institutes of Health

Grant: R01EB031083

National Institutes of Health

Grant: R21EB032917

National Institutes of Health

Grant: R01DK143170

Deutsche Forschungsgemeinschaft

Grant: 512359237

Deutsche Forschungsgemeinschaft

Grant: unidentified

unidentified

FWCI

1.17

Citation Percentile

0.8%

Citation Trend

2026

greenLicense: Wiley Online Library User Agreement

repositoryhttps://arxiv.org/pdf/2507.14308

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.70224

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/mrm.70224

repositoryhttp://arxiv.org/abs/2507.14308

Fields of Study

Atomic and Subatomic Physics ResearchAdvanced MRI Techniques and ApplicationsSparse and Compressive Sensing Techniques0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

MeSH Terms

COVID-19SARS-CoV-2AdultAgedAlgorithmsFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedLungMagnetic Resonance ImagingMaleMiddle AgedPrincipal Component AnalysisSignal-To-Noise Ratio

Keywords

Noise reductionRedundancy (engineering)Joint (building)Pattern recognition (psychology)LungImage denoisingReconstructionDenoisingPROPELLERSelf‐supervised LearningLow‐fieldFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)FOS: Electrical engineering, electronic engineering, information engineeringImage and Video ProcessingComputer Vision and Pattern RecognitionArticle

Self‐Supervised Joint Reconstruction and Denoising of T2 ‐Weighted PROPELLER MRI of the Lung at 0.55T

FAIR Checklist

Authors (9)

Funding (7 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)