Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Deep learning based apparent diffusion coefficient map generation from multi‐parametric MR images for patients with diffuse gliomas

Medical Physics(2024)10.1002/mp.17509Source: DataRank Database

Deep learning based apparent diffusion coefficient map generation from multi‐parametric MR images for patients with diffuse gliomas is a research paper published in Medical Physics (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

Download PDF

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 (7 grants)Impact (FWCI 2.01)OA: bronzeTopics (47)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (9)

Mojtaba Safari ORCID,Jacob Wynne,Richard L. J. Qiu ORCID,Tonghe Wang ORCID,David Viar‐Hernandez ORCID

Live enrichment

PubMed:39514841 PMC:PMC11788019 OpenAlex:https://openalex.org/W4404172495

National Institutes of Health

Grant: R01CA272991

National Institutes of Health

Grant: R56EB033332

National Institutes of Health

Grant: R01DE033512

National Institutes of Health

Grant: P30CA008748

National Institutes of Health

Grant: 1R56EB033332-01

Artificial Intelligence Driven Platform for PET/MR Imaging

National Institutes of Health

Grant: 2P30CA008748-43

MOUSE GENETICS

National Institutes of Health

Grant: 5R01CA272991-03

Real-time Volumetric Imaging for Motion Management and Dose Delivery Verification

FWCI

2.01

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

bronzeLicense: Wiley Online Library User Agreement

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mp.17509

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mp.17509

publisherhttps://aapm.onlinelibrary.wiley.com/doi/pdf/10.1002/mp.17509

journalhttps://doi.org/10.1002/mp.17509

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39514841

Fields of Study

Glioma Diagnosis and TreatmentAdvanced Neuroimaging Techniques and ApplicationsMRI in cancer diagnosis02 engineering and technology0202 electrical engineering, electronic engineering, information engineeringDeep LearningGliomaHumansImage Processing, Computer-AssistedDiffusion Magnetic Resonance ImagingBrain Neoplasms

MeSH Terms

Deep LearningBrain NeoplasmsGliomaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingDiffusion Magnetic Resonance Imaging

Keywords

Effective diffusion coefficientDiffusion MRIParametric statisticsDiffusionArtificial intelligenceNuclear medicineMagnetic resonance imagingComputer scienceMedicineRadiologyPhysicsMathematicsStatisticsMRIGliomaDwiDeep LearningIntramodal Mri SynthesisFOS: Computer and information sciencesBrain NeoplasmsComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionElectrical Engineering and Systems Science - Image and Video ProcessingArticleDiffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringHumans