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Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan

Fluids and Barriers of the CNS(2024)10.1186/s12987-024-00516-wSource: DataRank Database

Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan is a research paper published in Fluids and Barriers of the CNS (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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Enrichment:Funding (13 grants)Impact (FWCI 1.46)OA: goldTopics (70)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (12)

Colin D. McKnight ORCID,Melanie Leguizamon ORCID,J. Suzanne Lindsey,Jarrod Eisma ORCID,Jason Elenberger

Live enrichment

PubMed:38350930 PMC:PMC10865560 OpenAlex:https://openalex.org/W4391785901

Huntington's Disease Society of America

Grant: Human Biology Project Fellowship

National Institutes of Health

Grant: R01AT011456

National Institutes of Health

Grant: R01AG062574

U.S. Department of Defense

Grant: W81XWH-19-1-0812

NIA NIH HHS

Grant: K24 AG064114

NIA NIH HHS

Grant: R01 AG083159

NIA NIH HHS

Grant: U01 AG052564

NICHD NIH HHS

Grant: P50 HD103537

National Institutes of Health

Grant: 5K24AG064114-05

Expanding Mentorship and Neuroimaging Expertise in Patient-Oriented Studies of Brain, Behavior, and Age-Related Dementias

National Institutes of Health

Grant: 5R01AG062574-03

Quantitative Imaging of Brain Glymphatic Function in Humans

National Institutes of Health

Grant: 1R01AT011456-01

Quantitation of Glymphatic Functioning in Sleep and Meditative States

National Institutes of Health

Grant: 1R13AG013039-01

1995 SUMMER INSTITUTE IN GERIATRIC MEDICINE

National Institutes of Health

Grant: 3U01AG052564-02S2

Mapping the Human Connectome During Typical Aging

FWCI

1.46

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://fluidsbarrierscns.biomedcentral.com/counter/pdf/10.1186/s12987-024-00516-w

publisherhttps://fluidsbarrierscns.biomedcentral.com/counter/pdf/10.1186/s12987-024-00516-w

publisherhttps://link.springer.com/content/pdf/10.1186/s12987-024-00516-w.pdf

publisherhttps://link.springer.com/article/10.1186/s12987-024-00516-w/fulltext.html

journalhttps://doi.org/10.1186/s12987-024-00516-w

Fields of Study

Cerebrospinal fluid and hydrocephalusFetal and Pediatric Neurological DisordersGlioma Diagnosis and Treatment0301 basic medicine03 medical and health sciences0302 clinical medicineAdultHumansChildAdolescentYoung AdultMiddle AgedAgedAged, 80 and overChild, PreschoolLongevityDeep LearningMagnetic Resonance ImagingNeural Networks, ComputerMagnetic Resonance SpectroscopyImage Processing, Computer-Assisted

MeSH Terms

Deep LearningAdolescentAdultAgedAged, 80 and overChildChild, PreschoolHumansImage Processing, Computer-AssistedLongevityMagnetic Resonance ImagingMiddle AgedMagnetic Resonance SpectroscopyNeural Networks, ComputerYoung Adult

Keywords

Magnetic resonance imagingSørensen–Dice coefficientMedicineSegmentationNeuroradiologyDeep learningArtificial intelligenceConvolutional neural networkNeurologyRadiologyNuclear medicineComputer scienceImage segmentationMachine LearningArachnoid GranulationGlymphaticCsf FlowParasagittal Dural SpaceAdultMagnetic Resonance SpectroscopyAdolescentLongevityYoung AdultImage Processing, Computer-AssistedHumansRC346-429ChildAgedAged, 80 and overResearchMiddle AgedChild, PreschoolNeurology. Diseases of the nervous systemNeural Networks, Computer

Sustainable Development Goals

SDG 10: 10. No inequality

Deep learning segmentation of peri-sinus structures from structural magnetic resonance imaging: validation and normative ranges across the adult lifespan

FAIR Checklist

Authors (12)

Funding (13 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)