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Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning

Applied Sciences(2022)10.3390/app122312163Source: DataRank Database

Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning is a research paper published in Applied Sciences (2022). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.16)OA: goldTopics (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:37125242 PMC:PMC10134910 OpenAlex:https://openalex.org/W4310154802

National Institute of General Medical Sciences

Grant: R35GM128877

National Institute of General Medical Sciences

Grant: 1808530

National Institute of General Medical Sciences

Office of Advanced Cyber infrastructure

FWCI

0.16

Citation Percentile

0.4%

Citation Trend

2023

2025

goldLicense: cc-by

journalhttps://www.mdpi.com/2076-3417/12/23/12163/pdf?version=1669641866

publisherhttps://www.mdpi.com/2076-3417/12/23/12163/pdf?version=1669641866

publisherhttps://www.mdpi.com/2076-3417/12/23/12163/pdf

journalhttps://doi.org/10.3390/app122312163

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37125242

Fields of Study

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image SynthesisMedical Image Segmentation Techniques

Keywords

Artificial intelligenceComputer scienceDeep learningComputer visionSegmentationPattern recognition (psychology)ReconstructionMutual informationAugmentationImage QualityCardiac SegmentationGenerative Adversarial NetworkVariational AutoencoderDisentangled RepresentationDomain Invariant Features