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

Synergizing Deep Learning-Enabled Preprocessing and Human–AI Integration for Efficient Automatic Ground Truth Generation

Bioengineering(2024)10.3390/bioengineering11050434Source: DataRank Database

Synergizing Deep Learning-Enabled Preprocessing and Human–AI Integration for Efficient Automatic Ground Truth Generation is a research paper published in Bioengineering (2024). On theSindex it has a DataRank of 0. It has been cited 4 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access4 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 (5 grants)Impact (FWCI 0.97)OA: goldTopics (30)IDs (PubMed, PMC, OpenAlex)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)

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)

Ian Vargas ORCID,B. Di Cara,Carla J. Weinheimer ORCID,Ryan Grabau ORCID,Dmitry B. Goldgof ORCID

Live enrichment

PubMed:38790302 PMC:PMC11117745 OpenAlex:https://openalex.org/W4396508604

NIH

Grant: R01DK125322

NIH

Grant: R21HL154009

NIH HHS

Grant: R21HL154009, R01DK125322

National Institutes of Health

Grant: 7R21HL154009-02

Prediction and Treatment for Cancer Immunotherapy Induced Myocarditis

National Institutes of Health

Grant: 1R01DK125322-01A1

Mitigate cisplatin induced acute kidney injury through preservation of vasculature and proximal tubule

FWCI

0.97

Citation Percentile

0.8%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/2306-5354/11/5/434/pdf?version=1714295053

publisherhttps://www.mdpi.com/2306-5354/11/5/434/pdf?version=1714295053

journalhttps://doi.org/10.3390/bioengineering11050434

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38790302

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11117745

Fields of Study

AI in cancer detectionCell Image Analysis TechniquesDigital Imaging for Blood Diseases0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Ground truthArtificial intelligenceOverfittingDeep learningComputer sciencePreprocessorMachine learningSet (abstract data type)Field (mathematics)Active learning (machine learning)Pattern recognition (psychology)Artificial neural networkMathematicsConvolutional Neural NetworkActive Deep LearningDeep Learning-based PreprocessingTechnologyQH301-705.5TICTS (Institute of Clinical and Translational Sciences)006ArticleMedicine and Health SciencesBiology (General)

Sustainable Development Goals

SDG 3: 3. Good health