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Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence

Journal of Neuro-Oncology(2025)10.1007/s11060-025-05094-xSource: DataRank Database

Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence is a research paper published in Journal of Neuro-Oncology (2025). On theSindex it has a DataRank of 0.165. It has been cited 2 times.

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0.165DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 1.25)OA: hybridTopics (57)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.165

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (17)

Jingwen Yao ORCID,Alfredo L. Lopez Kolkovsky ORCID,Thorsten Feiweier ORCID,Bryan Clifford ORCID,Heiko Meyer ORCID

Live enrichment

PubMed:40459830 PMC:PMC12263758 OpenAlex:https://openalex.org/W4410974212

National Institute of General Medical Sciences

Grant: T32GM008042, T32GM152342

National Cancer Institute

Grant: F30CA284809, R01CA270027, R01CA279984, P50CA211015

Congressionally Directed Medical Research Programs

Grant: CA220732

NIGMS NIH HHS

Grant: T32 GM152342

NIGMS NIH HHS

Grant: T32 GM008042

NCI NIH HHS

Grant: R01 CA279984

NCI NIH HHS

Grant: R01 CA270027

NCI NIH HHS

Grant: F30 CA284809

NCI NIH HHS

Grant: P50 CA211015

National Institutes of Health

Grant: 5R01CA270027-02

Role of decorin and diffusion MRI in anti-VEGF efficacy for recurrent glioblastoma

National Institutes of Health

Grant: 5F30CA284809-02

Molecular MR-PET to characterize malignant transformation and identify therapeutic vulnerabilities in human IDH-mutant gliomas

National Institutes of Health

Grant: 5T32GM008042-27

Medical Scientist Training Program

National Institutes of Health

Grant: 5P50CA211015-02

UCLA SPORE in Brain Cancer

National Institutes of Health

Grant: 5R01CA279984-03

Quantitative molecular MR-PET imaging of glycolysis in glioblastoma

National Institutes of Health

Grant: 1T32GM152342-01

UCLA-Caltech Medical Scientist Training Program

Siemens Healthineers

FWCI

1.25

Citation Percentile

0.8%

Citation Trend

2025

2026

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s11060-025-05094-x.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s11060-025-05094-x.pdf

publisherhttps://link.springer.com/article/10.1007/s11060-025-05094-x/fulltext.html

journalhttps://doi.org/10.1007/s11060-025-05094-x

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40459830

Fields of Study

Advanced MRI Techniques and ApplicationsAdvanced Electron Microscopy Techniques and ApplicationsNuclear Physics and ApplicationsHumansGliomaMagnetic Resonance ImagingBrain NeoplasmsSodiumMaleFemaleMiddle AgedArtificial IntelligenceAdultSodium-Hydrogen Exchanger 1Signal-To-Noise RatioAgedNeuroimagingGenerative Artificial Intelligence

MeSH Terms

Sodium-Hydrogen Exchanger 1Generative Artificial IntelligenceAdultAgedArtificial IntelligenceBrain NeoplasmsFemaleGliomaHumansMagnetic Resonance ImagingMaleMiddle AgedSodiumSignal-To-Noise RatioNeuroimaging

Keywords

Generative grammarResolution (logic)Artificial intelligencePhysicsComputer scienceGliomaImage reconstructionBrain tumorsSodium MriGenerative Adversarial NetworkMaleAdultSodium-Hydrogen Exchanger 1Brain NeoplasmsResearchSodiumNeuroimagingMiddle AgedSignal-To-Noise RatioMagnetic Resonance ImagingGenerative Artificial IntelligenceHumansFemaleAged

Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence

FAIR Checklist

DataRank Breakdown

Authors (17)

Funding (16 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)