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Testing a convolutional neural network‐based hippocampal segmentation method in a stroke population

Human Brain Mapping(2020)10.1002/hbm.25210Source: DataRank Database

Testing a convolutional neural network‐based hippocampal segmentation method in a stroke population is a research paper published in Human Brain Mapping (2020). On theSindex it has a DataRank of 0. It has been cited 25 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access25 citations

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 1.35)OA: goldTopics (51)IDs (PubMed, PMC, OpenAlex)SDGs (2)

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 (8)

Meral A. Tubi ORCID,Elizabeth Haddad ORCID,Alyssa H. Zhu ORCID,Meredith N. Braskie ORCID,Neda Jahanshad ORCID

Live enrichment

PubMed:33067842 PMC:PMC8675423 OpenAlex:https://openalex.org/W3093030002

Foundation for the National Institutes of Health

Grant: F31 AG059356

Foundation for the National Institutes of Health

Grant: K01 HD091283

Foundation for the National Institutes of Health

Grant: P41 EB015922

Foundation for the National Institutes of Health

Grant: R01 AG059874

Foundation for the National Institutes of Health

Grant: U54 EB020403 U01 AG068057 R01 NS115845

National Center for Medical Rehabilitation Research

Grant: 1K01HD091283

NINDS NIH HHS

Grant: R01 NS115845

NIA NIH HHS

Grant: U01 AG068057

NIBIB NIH HHS

Grant: U54 EB020403

NINDS NIH HHS

Grant: L30 NS093611

National Institutes of Health

Grant: 7P41EB015922-17

Laboratory of Neuro Imaging Resource (LONIR)

National Institutes of Health

Grant: 1F31AG059356-01

VEGF's Relationship to Brain Aging Biomarkers and Cognition

National Institutes of Health

Grant: 1R01NS115845-01

Effects of global brain health on sensorimotor recovery after stroke

National Institutes of Health

Grant: 3U54EB020403-04S1

ENIGMA Center for Worldwide Medicine, Imaging & Genomics

National Institutes of Health

Grant: 1U01AG068057-01

Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks

National Institutes of Health

Grant: 5U54EB020403-03

ENIGMA Center for Worldwide Medicine, Imaging & Genomics

National Institutes of Health

Grant: 5R01AG059874-02

High resolution mapping of the genetic risk for disease in the aging brain

National Institutes of Health

Grant: 3K01HD091283-02S1

Big Data Neuroimaging to Predict Motor Behavior After Stroke

FWCI

1.35

Citation Percentile

0.8%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

goldLicense: CC BY NC

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25210

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25210

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25210

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/hbm.25210

journalhttps://doi.org/10.1002/hbm.25210

Fields of Study

Neurological Disease Mechanisms and TreatmentsAcute Ischemic Stroke ManagementNeuroinflammation and Neurodegeneration Mechanisms03 medical and health sciences0302 clinical medicineDatasets as TopicHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeural Networks, ComputerNeuroimagingQuality ControlStroke

MeSH Terms

HippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingQuality ControlNeural Networks, ComputerStrokeNeuroimagingDatasets as Topic

Keywords

Hippocampal formationNeuroimagingDementiaSegmentationStroke (engine)Convolutional neural networkPopulationMagnetic resonance imagingMedicineArtificial intelligenceNeurosciencePhysical medicine and rehabilitationComputer sciencePsychologyPathologyRadiologyDiseaseHippocampusMRIStrokeLesionImage segmentationQuality ControlImage Processing, Computer-AssistedDatasets as TopicHumansNeural Networks, ComputerResearch Articles

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

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