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STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation

Lecture notes in computer science(2022)10.1007/978-3-031-12053-4_28Source: DataRank Database

STAMP: A Self-training Student-Teacher Augmentation-Driven Meta Pseudo-Labeling Framework for 3D Cardiac MRI Image Segmentation is a research paper published in Lecture notes in computer science (2022). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 0.28)OA: greenTopics (18)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)

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Authors (2)

Cristian A. Linte ORCID,S. M. Kamrul Hasan ORCID

Live enrichment

PubMed:37126464 PMC:PMC10134897 OpenAlex:https://openalex.org/W4287225582

NIGMS NIH HHS

Grant: R35 GM128877

National Institutes of Health

Grant: 5R35GM128877-05

Biomedical Computing and Visualization Tools for Computer-integrated Diagnostic and Therapeutic Data Science

National Science Foundation

Grant: 1808530

CDS&E: Collaborative Research: A Computational Framework for Reconstructing and Visualizing Myocardial Active Stresses

FWCI

0.28

Citation Percentile

0.6%

Citation Trend

2022

2023

2025

greenLicense: Springer TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10134897/pdf/nihms-1892744.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-12053-4_28

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10134897

book serieshttps://doi.org/10.1007/978-3-031-12053-4_28

Fields of Study

Advanced Neural Network ApplicationsMedical Image Segmentation TechniquesMedical Imaging and Analysis0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceSegmentationComputer visionImage segmentationArtificial intelligenceTraining (meteorology)Image (mathematics)Computer graphics (images)Cardiac Mri SegmentationConfidence ThresholdMeta Pseudo-LabelStudent-Teacher ModelWeak And Strong Augment