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Enhancing Ultrasound Image Quality Across Disease Domains: Application of Cycle-Consistent Generative Adversarial Network and Perceptual Loss

JMIR Biomedical Engineering(2024)10.2196/58911Source: DataRank Database

Enhancing Ultrasound Image Quality Across Disease Domains: Application of Cycle-Consistent Generative Adversarial Network and Perceptual Loss is a research paper published in JMIR Biomedical Engineering (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.

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0DataRank · unranked

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Open Access8 citations

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Linked data & code

Ultrasound Image Enhancement using CycleGAN and Perceptual Loss · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 2.16)OA: goldTopics (25)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (6)

Ashwath Radhachandran ORCID,Vedrana Ivezić ORCID,Vivek Sant ORCID,Corey Arnold ORCID,William Speier ORCID

Live enrichment

PubMed:39689310 PMC:PMC11688586 OpenAlex:https://openalex.org/W4402547026

NIBIB NIH HHS

Grant: R21 EB030691

FWCI

2.16

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.2196/58911

publisherhttps://doi.org/10.2196/58911

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39689310

repositoryhttps://escholarship.org/uc/item/82f951pp

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11688586

Fields of Study

Ultrasound Imaging and ElastographyGenerative Adversarial Networks and Image SynthesisUltrasound in Clinical Applications

Keywords

PreprintPerceptionImage (mathematics)Artificial intelligenceQuality (philosophy)Image qualityComputer sciencePattern recognition (psychology)Computer visionPsychologyPhysicsNeuroscienceWorld Wide WebImagingimage enhancementMachine LearningUltrasound ImagesUltrasound ScansPerceptual LossCycle Generative Adversarial NetworkGenerative NetworksPortable Handheld Devices

Sustainable Development Goals

SDG 0: Zero hunger

Ultrasound Image Enhancement using CycleGAN and Perceptual Loss

10.48550/arxiv.2312.11748arXiv