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Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning

Imaging Neuroscience(2024)10.1162/imag_a_00090Source: DataRank Database

Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning is a research paper published in Imaging Neuroscience (2024). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 0.97)OA: goldTopics (17)IDs (PubMed, PMC, OpenAlex)Annotations (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 (9)

Aprinda Indahlastari ORCID,Jason Chen ORCID,Alejandro Albizu ORCID,Ayden Dunn ORCID,Samantha Pedersen ORCID

Live enrichment

PubMed:38465203 PMC:PMC10922731 OpenAlex:https://openalex.org/W4391215989

NIA NIH HHS

Grant: RF1 AG071469

NIA NIH HHS

Grant: R01 AG054077

FWCI

0.97

Citation Percentile

0.7%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://direct.mit.edu/imag/article-pdf/doi/10.1162/imag_a_00090/2217892/imag_a_00090.pdf

publisherhttps://direct.mit.edu/imag/article-pdf/doi/10.1162/imag_a_00090/2217892/imag_a_00090.pdf

publisherhttps://direct.mit.edu/imag/article-pdf/doi/10.1162/imag_a_00090/2342299/imag_a_00090.pdf

journalhttps://doi.org/10.1162/imag_a_00090

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38465203

Fields of Study

Medical Image Segmentation TechniquesMedical Imaging and AnalysisBrain Tumor Detection and Classification

Keywords

SegmentationHead (geology)Magnetic resonance imagingArtificial intelligenceDeep learningComputer visionComputer sciencePattern recognition (psychology)MedicineGeologyRadiologyMRINon-invasive Brain StimulationWhole-head Segmentation

Precise and rapid whole-head segmentation from magnetic resonance images of older adults using deep learning

FAIR Checklist

Authors (9)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)