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Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks

UNC Libraries(2024)10.17615/jkpg-n324Source: DataRank Database

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks is a research paper published in UNC Libraries (2024). On theSindex it has a DataRank of 0.

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0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: greenTopics (18)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 (5)

Weili Lin ORCID,Pew‐Thian Yap ORCID,Kim-Han Thung ORCID,Siyuan Liu ORCID,Dinggang Shen ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4400699182

National Institutes of Health

Grant: 1U01MH110274-01

UNC/UMN Baby Connectome Project

National Institutes of Health

Grant: 5R01MH100217-03

Infant Brain Measurement and Super-Resolution Atlas Construction

National Institutes of Health

Grant: 5R01MH117943-02

Continued Development of Infant Brain Analysis Tools

FWCI

0.00

Citation Percentile

0.2%

greenLicense: IEEE Copyright

repositoryhttps://doi.org/10.17615/jkpg-n324

https://doi.org/10.1109/tip.2020.2992079

https://europepmc.org/articles/pmc7648726?pdf=render

https://dx.doi.org/10.17615/jkpg-n324

https://dx.doi.org/10.48550/arxiv.1904.03639

Fields of Study

Advanced MRI Techniques and ApplicationsAtomic and Subatomic Physics ResearchMedical Imaging Techniques and Applications0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

ResidualArtificial neural networkArtificial intelligenceComputer scienceQuality (philosophy)Deep neural networksPattern recognition (psychology)Machine learningAlgorithmPhysicsFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition