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BIBSNet: A Deep Learning Baby Image Brain Segmentation Network for MRI Scans

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.22.533696Source: DataRank Database

BIBSNet: A Deep Learning Baby Image Brain Segmentation Network for MRI Scans is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 15 times.

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Open Access15 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (9 grants)OA: greenTopics (14)IDs (PubMed, 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 (30)

Paul Reiners,Lucille A. Moore ORCID,Jacob T. Lundquist ORCID,Begim Fayzullobekova ORCID,Anders Perrone ORCID

Live enrichment

PubMed:36993540 OpenAlex:https://openalex.org/W4360798582

National Institutes of Health

Grant: 5U01DA055371-04

17/24 Healthy Brain and Child Development National Consortium

National Institutes of Health

Grant: 5P50HD103573-03

Clinical Translational Research Center for Neurodevelopmental Disorders

National Institutes of Health

Grant: 1U01MH110274-01

UNC/UMN Baby Connectome Project

National Institutes of Health

Grant: 1R01MH104324-01

Infant Brain and Behavioral Signatures of Later Emerging Risk for Psychopathology

NIMH NIH HHS

Grant: R01 MH104324

NICHD NIH HHS

Grant: P50 HD103573

NIDA NIH HHS

Grant: U01 DA055371

NIDA NIH HHS

Grant: U24 DA055325

NIMH NIH HHS

Grant: U01 MH110274

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/03/2023.03.22.533696.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.03.22.533696

repositoryhttps://doi.org/10.1101/2023.03.22.533696

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36993540

Fields of Study

Neonatal and fetal brain pathologyFetal and Pediatric Neurological DisordersAdvanced Neural Network Applications0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Deep learningSegmentationArtificial intelligenceComputer scienceNeuroimagingImage (mathematics)Computer visionPsychologyNeuroscience

Sustainable Development Goals

SDG 3: 3. Good health