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Learning MRI artefact removal with unpaired data

UNC Libraries(2024)10.17615/yhra-s934Source: DataRank Database

Learning MRI artefact removal with unpaired data is a research paper published in UNC Libraries (2024). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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Open Access0 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: greenTopics (16)IDs (PubMed, 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 (6)

Kim-Han Thung ORCID,Liangqiong Qu ORCID,Siyuan Liu ORCID,Weili Lin ORCID,Pew‐Thian Yap ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4400699163

National Institutes of Health

Grant: 5R01EB006733-03

Development and Dissemination of Robust Brain MRI Measurement Tools

National Institutes of Health

Grant: 1R01MH104324-01

Infant Brain and Behavioral Signatures of Later Emerging Risk for Psychopathology

National Institutes of Health

Grant: 5R01MH117943-02

Continued Development of Infant Brain Analysis Tools

National Institutes of Health

Grant: 1RF1AG053867-01A1

Analyzing Large-Scale Neuroimaging Data in Alzheimer's Disease

National Institutes of Health

Grant: 1U01MH110274-01

UNC/UMN Baby Connectome Project

FWCI

0.00

Citation Percentile

0.1%

greenLicense: Springer Nature TDM

repositoryhttps://doi.org/10.17615/yhra-s934

https://doi.org/10.1038/s42256-020-00270-2

http://arxiv.org/pdf/2110.04604

https://dx.doi.org/10.17615/yhra-s934

https://dx.doi.org/10.48550/arxiv.2110.04604

Fields of Study

Advanced X-ray and CT ImagingMedical Imaging Techniques and ApplicationsNuclear Physics and Applications03 medical and health sciences0302 clinical medicine

Keywords

Artificial intelligenceComputer scienceFOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingArticleMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Gender equality