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Improving quantitative MRI using self‐supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping

Magnetic Resonance in Medicine(2024)10.1002/mrm.30045Source: DataRank Database

Improving quantitative MRI using self‐supervised deep learning with model reinforcement: Demonstration for rapid T1 mapping is a research paper published in Magnetic Resonance in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 25 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access25 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 6.64)OA: greenTopics (38)IDs (PubMed, PMC, 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)

Albert Jang ORCID,Fang Liu ORCID,Wanyu Bian ORCID

Live enrichment

PubMed:38342980 PMC:PMC11055673 OpenAlex:https://openalex.org/W4391750243

National Institutes of Health

Grant: R21EB031185

National Institutes of Health

Grant: R01AR081344

National Institutes of Health

Grant: R01AR079442

National Institutes of Health

Grant: R56AR081017

FWCI

6.64

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

greenLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11055673/pdf/nihms-1983054.pdf

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.30045

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11055673

journalhttps://doi.org/10.1002/mrm.30045

Fields of Study

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity StudiesGenerative Adversarial Networks and Image SynthesisMagnetic Resonance ImagingDeep LearningHumansAlgorithmsImage Processing, Computer-AssistedPhantoms, ImagingBrainKneeArtifactsSupervised Machine Learning

MeSH Terms

Supervised Machine LearningDeep LearningAlgorithmsBrainHumansImage Processing, Computer-AssistedKneeMagnetic Resonance ImagingArtifactsPhantoms, Imaging

Keywords

Reinforcement learningComputer scienceArtificial intelligenceRobustness (evolution)Machine learningDeep learningGeneralizability theorySupervised learningPattern recognition (psychology)Artificial neural networkMathematicsOptimizationQuantitative MriModel ReinforcementSelf‐supervised Learning