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Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning

PubMed(2020)10.1117/12.2548622Source: DataRank Database

Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning is a research paper published in PubMed (2020). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)OA: greenTopics (22)IDs (PubMed, PMC, OpenAlex)

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)

Justin A. Blaber,Samuel W. Remedios ORCID,Jess E. Reynolds ORCID,Catherine Lebel ORCID,Maureen McHugo ORCID

Live enrichment

PubMed:34040280 PMC:PMC8148607 OpenAlex:https://openalex.org/W2968669470

NIGMS NIH HHS

Grant: T32 GM007347

NIBIB NIH HHS

Grant: R01 EB017230

NICHD NIH HHS

Grant: N01 HD023343

NCRR NIH HHS

Grant: UL1 RR024975

NIBIB NIH HHS

Grant: T32 EB021937

NCATS NIH HHS

Grant: UL1 TR000445

green

repositoryhttps://arxiv.org/pdf/1908.04702

repositoryhttp://arxiv.org/abs/1908.04702

https://doi.org/10.1117/12.2548622

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34040280

Fields of Study

Fetal and Pediatric Neurological DisordersRadiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and Applications

Keywords

Generalizability theoryContrast (vision)SegmentationTransfer of learningArtificial intelligenceComputer scienceContext (archaeology)Artificial neural networkMagnetic resonance imagingNeuroimagingDeep learningPattern recognition (psychology)MedicineMathematicsRadiologyStatisticsGeneralizabilityTransfer LearningWhole Brain Segmentation