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Contrastive pretraining improves deep learning classification of endocardial electrograms in a preclinical model

Heart Rhythm O2(2025)10.1016/j.hroo.2025.01.008Source: DataRank Database

Contrastive pretraining improves deep learning classification of endocardial electrograms in a preclinical model is a research paper published in Heart Rhythm O2 (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Enrichment:Funding (4 grants)Impact (FWCI 0.71)OA: goldTopics (21)IDs (PubMed, PMC, OpenAlex)Annotations (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (12)

Eugene Kwan ORCID,Jake Bergquist ORCID,James Brundage ORCID,Benjamin Orkild ORCID,Jiawei Dong ORCID

Live enrichment

PubMed:40321744 PMC:PMC12047512 OpenAlex:https://openalex.org/W4406657184

National Institutes of Health

Grant: 5R01HL142913-03

Myocardial Substrate Driven Mechanistic Insights into Atrial Fibrillation

National Institutes of Health

Grant: 5T32HL007576-23

Training in Cardiovascular Research

National Institutes of Health

Grant: 5F31HL162527-02

Role of Structural Remodeling in Atrial Fibrillation

National Institutes of Health

FWCI

0.71

Citation Percentile

0.7%

Citation Trend

2025

goldLicense: CC BY NC ND

journalhttps://www.heartrhythmopen.com/article/S2666-5018(25)00016-9/pdf

GOLDhttps://doi.org/10.1016/j.hroo.2025.01.008

publisherhttps://www.heartrhythmopen.com/article/S2666-5018(25)00016-9/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2666501825000169?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666501825000169?httpAccept=text/plain

Fields of Study

Atrial Fibrillation Management and OutcomesECG Monitoring and AnalysisCardiac electrophysiology and arrhythmiasMedicineEngineeringComputer Science0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Artificial intelligenceDeep learningComputer scienceNeurosciencePsychologyMedicineAtrial fibrillationMachine LearningPretrainingAtrial Fibrillation Driving MechanismsEndocardial ElectrogramsPretraining AugmentationExperimental

Contrastive pretraining improves deep learning classification of endocardial electrograms in a preclinical model

FAIR Checklist

Authors (12)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)