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Fetal-BET: Brain Extraction Tool for Fetal MRI

IEEE Open Journal of Engineering in Medicine and Biology(2024)10.1109/ojemb.2024.3426969Source: DataRank Database

Fetal-BET: Brain Extraction Tool for Fetal MRI is a research paper published in IEEE Open Journal of Engineering in Medicine and Biology (2024). On theSindex it has a DataRank of 0. It has been cited 16 times.

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Scored on demand from live citation data

Open Access16 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 14.25)OA: goldTopics (29)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 (4)

Davood Karimi ORCID,Deniz Erdoğmuş ORCID,Ali Gholipour ORCID,Razieh Faghihpirayesh ORCID

Live enrichment

PubMed:39157057 PMC:PMC11329220 OpenAlex:https://openalex.org/W4400578804

National Institutes of Health

Grant: R01NS106030

National Institutes of Health

Grant: R01EB018988

National Institutes of Health

Grant: R01EB031849

National Institutes of Health

Grant: R01EB032366

National Institutes of Health

Grant: R01HD109395

National Institutes of Health

Grant: R01NS128281

National Institutes of Health

Grant: R01HD110772

Office of the Director of the NIH

Grant: S10OD025111

National Institutes of Health

Grant: 5R01HD110772-02

Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structure

National Institutes of Health

Grant: 5R01NS106030-04

Advancing microstructural and vascular neuroimaging in perinatal stroke

National Institutes of Health

Grant: 1S10OD025111-01

Acquisition of a Siemens 3T MRI for Research Imaging

National Institutes of Health

Grant: 5R01EB018988-04

Motion-robust super-resolution diffusion weighted MRI of early brain development

National Institutes of Health

Grant: 5R01EB032366-03

Enhanced Imaging of the Fetal Brain Microstructure

National Institutes of Health

Grant: 5R01NS128281-03

Enabling the Assessment of Fetal Brain Development and Degeneration with Machine Learning

National Institutes of Health

Grant: 7R01EB031849-05

Next-generation in-vivo fetal neuroimaging

National Institutes of Health

Grant: 5R01HD109395-04

Imaging early development of human neural circuits

Nvidia

NVIDIA RTXA5000 GPUs

FWCI

14.25

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

goldLicense: CC BY NC ND

journalhttps://doi.org/10.1109/ojemb.2024.3426969

publisherhttps://doi.org/10.1109/ojemb.2024.3426969

publisherhttp://xplorestaging.ieee.org/ielx8/8782705/10443311/10596549.pdf?arnumber=10596549

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39157057

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11329220

Fields of Study

Fetal and Pediatric Neurological DisordersDomain Adaptation and Few-Shot LearningNeonatal and fetal brain pathology02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

FetusArtificial intelligenceFetal headComputer scienceNeuroscienceMedicinePattern recognition (psychology)PsychologyBiologyPregnancyFetal MriDeep LearningBrain ExtractionFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Computer applications to medicine. Medical informaticsImage and Video Processing (eess.IV)R858-859.7Computer Science - Computer Vision and Pattern RecognitionElectrical Engineering and Systems Science - Image and Video ProcessingArticleMedical technologyFOS: Electrical engineering, electronic engineering, information engineeringR855-855.5

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