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Machine Learning Driven Contouring of High-Frequency Four-Dimensional Cardiac Ultrasound Data

Applied Sciences(2021)10.3390/app11041690Source: DataRank Database

Machine Learning Driven Contouring of High-Frequency Four-Dimensional Cardiac Ultrasound Data is a research paper published in Applied Sciences (2021). On theSindex it has a DataRank of 0. It has been cited 20 times.

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Open Access20 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (18 grants)OA: goldTopics (23)IDs (PubMed)SDGs (1)

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Open Access

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Authors (4)

David T. Newton ORCID,Guang Lin ORCID,Craig J. Goergen ORCID,Frederick W. Damen ORCID

Live enrichment

PubMed:34306738

National Institutes of Health

Grant: F30-HL145980

National Institutes of Health

Grant: T32-DK101001

Purdue University

Grant: Integrative Data Science Initiative

Purdue University

Grant: Geddes Endowment

National Science Foundation

Grant: DMS-1555072

National Science Foundation

Grant: DMS-1736364

National Science Foundation

Grant: CMMI-1634832

National Science Foundation

Grant: CMMI-1560834

Brookhaven National Laboratory

Grant: Subcontract 382247

Multidisciplinary University Research Initiative

Grant: W911NF-15-1-0562

Office of Science

Grant: Advanced Scientific Computing Research Program DE-SC0021142

National Science Foundation

Grant: 1555072

CAREER: Uncertainty Quantification and Big Data Analysis in Interconnected Systems: Algorithms, Computations, and Applications

National Institutes of Health

Grant: 5T32DK101001-02

Bioengineering Interdisciplinary Training for Diabetes Research

National Institutes of Health

Grant: 5F30HL145980-04

Spatial Analysis of Cardiac Disease using Murine Four-Dimensional Ultrasound

National Science Foundation

Grant: 1736364

Collaborative Research: AMPS: Multi-Fidelity Modeling via Machine Learning for Real-time Prediction of Power System Behavior

National Science Foundation

Grant: 1560834

CAREER: Investigating Process-Structure-Property Correlations of Nitrides and Oxides for High Temperature Thermoelectric Applications

NHLBI NIH HHS

Grant: F30 HL145980

NIDDK NIH HHS

Grant: T32 DK101001

goldLicense: cc-by

publisherhttps://www.mdpi.com/2076-3417/11/4/1690/pdf?version=1613622699

publisherhttps://www.mdpi.com/2076-3417/11/4/1690/pdf

repositoryhttps://doaj.org/article/292a7a1a48434f1dbfdf3947d143174e

repositoryhttps://dx.doi.org/10.3390/app11041690

repositoryhttps://www.osti.gov/biblio/1766100

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

Technologymurineleft ventricleQH301-705.54D ultrasoundTPhysicsQC1-999cardiac kinematicsvolumetric imaginghypertrophic cardiomyopathyEngineering (General). Civil engineering (General)ArticleChemistrymachine learningmyocardiumechocardiographyboundary predictionTA1-2040Biology (General)QD1-999

Sustainable Development Goals

SDG 3: 3. Good health