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Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models

BMC Medical Imaging(2024)10.1186/s12880-024-01230-7Source: DataRank Database

Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models is a research paper published in BMC Medical Imaging (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

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Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 5.92)OA: goldTopics (46)IDs (PubMed, OpenAlex)SDGs (3)

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 (15)

Alena Uus ORCID,Leah De Souza,Robert Wright ORCID,Abi Fukami-Gartner ORCID,Gema Priego ORCID

Live enrichment

PubMed:38429666 OpenAlex:https://openalex.org/W4392355942

National Institute for Health and Care Research

Grant: NIHR300555

National Institute for Health and Care Research

Grant: NIHR30166

Welcome / EPSRC IEH Award

Grant: 102431 / WT 220160/Z/20/Z

National Institute for Health, United States

Grant: 1U01HD087202-01

Structure and function of the placenta from implantation to delivery: a next generation MRI approach

Welcome / EPSRC Centre for Medical Engineering

Grant: WT 203148/Z/16/Z

Wellcome Trust

Grant: 220160

iFIND technology accelerator

Wellcome Trust

Grant: 102431

A computer-guided imaging system for prenatal screening and comprehensive diagnosis of fetal abnormalities.

Wellcome Trust

Grant: 203148

King's College London Medical Engineering Centre of Research Excellence

FWCI

5.92

Citation Percentile

1.0%

Citation Trend

2024

2025

goldLicense: cc-by

journalhttps://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01230-7

publisherhttps://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-024-01230-7

publisherhttps://link.springer.com/content/pdf/10.1186/s12880-024-01230-7.pdf

publisherhttps://link.springer.com/article/10.1186/s12880-024-01230-7/fulltext.html

journalhttps://doi.org/10.1186/s12880-024-01230-7

Fields of Study

Fetal and Pediatric Neurological DisordersPrenatal Screening and DiagnosticsDomain Adaptation and Few-Shot Learning

MeSH Terms

Feasibility StudiesFetusGestational AgeHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingScalpImaging, Three-Dimensional

Keywords

CraniofacialComputer scienceSegmentationArtificial intelligenceVisibilityVisualizationComputer visionImage qualityMedicinePattern recognition (psychology)Image (mathematics)Fetal MRICraniofacial featuresslice to volume reconstructionImage Processing610Gestational AgeImagingComputer-AssistedFetusImaging, Three-DimensionalMedical technologyImage Processing, Computer-AssistedHumansR855-855.5ScalpResearch1103 Clinical Sciences3D printingFace renderingMagnetic Resonance ImagingNuclear Medicine & Medical ImagingAutomated segmentationThree-DimensionalFeasibility Studies

Sustainable Development Goals

SDG 3: 3. Good healthSDG 4: 4. EducationSDG 0: Quality Education