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An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning

Communications Engineering(2024)10.1038/s44172-024-00259-4Source: DataRank Database

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning is a research paper published in Communications Engineering (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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Cite:

Linked data & code

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning · arXiv

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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 0.49)OA: goldTopics (29)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 (7)

Fatemeh Safari,George C. Verghese,Vito R. Ciancia,Daniel K. Sodickson ORCID,Seena Dehkharghani ORCID

Live enrichment

PubMed:39242634 PMC:PMC11379885 OpenAlex:https://openalex.org/W4387893738

U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering

Grant: P41-EB017183

NIBIB NIH HHS

Grant: P41 EB017183

National Institutes of Health

Grant: 5P41EB017183-05

Center for Advanced Imaging Innovation and Research (CAI2R)

FWCI

0.49

Citation Percentile

0.5%

Citation Trend

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://www.nature.com/articles/s44172-024-00259-4.pdf

GOLDhttps://doi.org/10.1038/s44172-024-00259-4

publisherhttps://www.nature.com/articles/s44172-024-00259-4.pdf

publisherhttps://www.nature.com/articles/s44172-024-00259-4

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37873017

Fields of Study

Microwave Imaging and Scattering AnalysisNon-Invasive Vital Sign MonitoringCOVID-19 diagnosis using AIComputer ScienceMedicinePhysicsEngineering0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Ultra-widebandMicrowaveDeep learningMicrowave imagingWidebandArtificial intelligenceComputer scienceMaterials sciencePhysicsOpticsTelecommunicationsFOS: Computer and information sciencesComputer Science - Machine LearningFOS: Physical sciencesMedical Physics (physics.med-ph)TA1-2040Engineering (General). Civil engineering (General)Physics - Medical PhysicsArticleMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Good health and well-being

An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning

10.48550/arxiv.2310.02215arXiv