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WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound

Machine Learning Science and Technology(2024)10.1088/2632-2153/ad2e15Source: DataRank Database

WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound is a research paper published in Machine Learning Science and Technology (2024). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access13 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 2.09)OA: goldTopics (33)IDs (PubMed, PMC, 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 (9)

Thomas J. Marini,Avice M. O’Connell,Steven Siyao Meng ORCID,Jonah Kan ORCID,Galen Brennan

Live enrichment

PubMed:38464559 PMC:PMC10921088 OpenAlex:https://openalex.org/W4392243847

National Institutes of Health

Grant: R21AG070331

NIBIB NIH HHS

Grant: R21 EB025290

National Institutes of Health

Grant: 1R21AG070331-01

Advanced Brain OCT Elastography

National Institutes of Health

Grant: 5R21EB025290-02

The H-scan approach to classifying ultrasound echoes

FWCI

2.09

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://iopscience.iop.org/article/10.1088/2632-2153/ad2e15/pdf

publisherhttps://iopscience.iop.org/article/10.1088/2632-2153/ad2e15/pdf

publisherhttps://iopscience.iop.org/article/10.1088/2632-2153/ad2e15

journalhttps://doi.org/10.1088/2632-2153/ad2e15

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38464559

Fields of Study

Medical Image Segmentation TechniquesUltrasound Imaging and ElastographyFlow Measurement and Analysis02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

UltrasoundSegmentationArtificial intelligenceArtificial neural networkUltrasound imagingComputer scienceComputer visionMedicineRadiologyBreast UltrasoundVsiUnetWatunetPaperFOS: Computer and information sciencesComputer engineering. Computer hardwareComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionQA75.5-76.95Electrical Engineering and Systems Science - Image and Video ProcessingMachine Learning (cs.LG)TK7885-7895Electronic computers. Computer scienceFOS: Electrical engineering, electronic engineering, information engineering

Sustainable Development Goals

SDG 0: Good health and well-being