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Automated Object Detection in Experimental Data Using Combination of Unsupervised and Supervised Methods

Frontiers in Physiology(2022)10.3389/fphys.2022.805161Source: DataRank Database

Automated Object Detection in Experimental Data Using Combination of Unsupervised and Supervised Methods is a research paper published in Frontiers in Physiology (2022). On theSindex it has a DataRank of 0. It has been cited 8 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access8 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)Impact (FWCI 0.90)OA: goldTopics (38)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 (4)

Zhen Wang ORCID,Crystal M. Ripplinger ORCID,Daisuke Satoh ORCID,Yiran Wu ORCID

Live enrichment

PubMed:35464087 PMC:PMC9019745 OpenAlex:https://openalex.org/W4226240844

NHLBI NIH HHS

Grant: P01 HL141084

NHLBI NIH HHS

Grant: R01 HL149349

National Institutes of Health

Grant: R01-HL149349

National Institutes of Health

Grant: P01-HL141084

National Institutes of Health

Grant: R00-HL111334

NHLBI NIH HHS

Grant: R01 HL111600

National Institutes of Health

Grant: R01-HL111600

National Institutes of Health

Grant: 5R00HL111334-05

Modeling of Cardiac Calcium Dynamics; Ryanodine Receptor induced Arrhythmias

National Institutes of Health

Grant: 4R01HL111600-05

The Role of Adrenergic Stimulation in Arrhythmogenesis

National Institutes of Health

Grant: 5R01HL121059-08

Coupling of vascular CaV1.2 channels in health and disease

National Institutes of Health

Grant: 1R01HL149349-01

Modelling structural and functional heterogeneity in heart failure reveals arrhythmic impact

National Institutes of Health

Grant: 5P01HL141084-04

Elucidating Electro-Mechanical Dysfunction in Heart Failure with Human Stem Cell Models

FWCI

0.90

Citation Percentile

0.8%

Citation Trend

2022

2023

2025

goldLicense: cc-by

journalhttps://www.frontiersin.org/articles/10.3389/fphys.2022.805161/pdf

publisherhttps://www.frontiersin.org/articles/10.3389/fphys.2022.805161/pdf

journalhttps://doi.org/10.3389/fphys.2022.805161

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35464087

repositoryhttps://doaj.org/article/2dbe2dd756704489b012cb1c43da054d

Fields of Study

Industrial Vision Systems and Defect DetectionImage and Object Detection TechniquesFace and Expression Recognition02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

Computer scienceArtificial intelligencePattern recognition (psychology)Machine learningData miningImage processingSupport vector machineUnsupervised LearningK-means ClusteringObject DetectionCardiac ImagesPhysiologyMedical Physiology6103208 Medical physiology (for-2020)Machine Learning and Artificial IntelligencePsychologyQP1-98132 Biomedical and Clinical Sciences (for-2020)3101 Biochemistry and cell biology (for-2020)31 Biological Sciences (for-2020)Networking and Information Technology R&D (NITRD) (rcdc)Biomedical and Clinical SciencesBiological Sciences0606 Physiology (for)0041116 Medical Physiology (for)Networking and Information Technology R&D (NITRD)1701 Psychology (for)Biochemistry and Cell BiologyMachine Learning and Artificial Intelligence (rcdc)