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

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)(2024)10.48550/arxiv.2402.09463Source: DataRank Database

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results is a research paper published in White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (2024). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

Linked data & code

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 (9 grants)Impact (FWCI 0.00)OA: greenTopics (40)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

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 (67)

Céline Steger ORCID,Roxane Licandro ORCID,Priscille de Dumast ORCID,Hongwei Li ORCID,Matthew J. Barkovich ORCID

Live enrichment

PubMed:19022398 OpenAlex:https://openalex.org/W4391912700

Wellcome Trust

Grant: 201374

Non invasive assessment of human placental function by quantitative MRI

Swiss National Science Foundation

Grant: 182602

Advanced super-resolution reconstruction methods for quantitative magnetic resonance imaging of the developing fetal brain

Austrian Science Fund (FWF)

Grant: I 3925

Epigenetic control of brain wiring: role of miRNAs in FASD

European Commission

Grant: 857533

Centre for New Methods in Computational Diagnostics and Personalised Therapy

Wellcome Trust

Grant: 203148

King's College London Medical Engineering Centre of Research Excellence

UK Research and Innovation

Grant: EP/V034537/1

Assessing Placental Structure and Function by Unified Fluid Mechanical Modelling and in-vivo MRI

National Institutes of Health

Grant: 1U01HD087202-01

Structure and function of the placenta from implantation to delivery: a next generation MRI approach

UK Research and Innovation

Grant: MR/T018119/1

Self-driving MRI

Austrian Science Fund (FWF)

Grant: P 35189

Emerging Infectious Lung Disease Monitor

FWCI

0.00

Citation Percentile

0.0%

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2402.09463

repositoryhttp://arxiv.org/abs/2402.09463

repositoryhttps://orcid.org/0000-0001-7041-0150>,

repositoryhttps://hal.science/hal-05009633

repositoryhttps://doi.org/10.48550/arxiv.2402.09463

Fields of Study

Fetal and Pediatric Neurological DisordersArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingImage and Video Processing (eess.IV)FOS: Electrical engineering, electronic engineering, information engineering03 medical and health sciences0302 clinical medicine

Keywords

AnnotationCenter (category theory)FetusBrain tissueMedicineComputer scienceBiomedical engineeringArtificial intelligenceChemistryBiologyPregnancyImage ProcessingNeuroimaging[INFO] Computer Science [cs]electronic engineeringArticleFOS: Electrical engineeringinformation engineeringComputer-AssistedImage Processing, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringHumansDomain generalizationfetal brain MRIImage and Video Processing (eess.IV)deep learningBrainElectrical Engineering and Systems Science - Image and Video ProcessingHumans; Brain/diagnostic imaging; Brain/embryology; Magnetic Resonance Imaging/methods; Algorithms; Fetus/diagnostic imaging; Image Processing, Computer-Assisted/methods; Female; PregnancyMagnetic Resonance ImagingMulti-class image segmentationFemaleAlgorithms

Fetal Tissue Annotation Challenge (FeTA) Biometry - MICCAI 2024

10.5281/zenodo.11192452Zenodo

Fetal Tissue Annotation Challenge (FeTA) Biometry - MICCAI 2024

10.5281/zenodo.11192451Zenodo