Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0. It has been cited 60 times.
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Centre For Medical Engineering, King’s College London
Grant: WT 203148/Z/16/Z
National institute of health
Grant: R01-HL152256
European Research Council
Grant: 864055
Predicting Outcome of Rate or Rhythm Control in Patients with Atrial Fibrillation and Heart Failure
British Heart Foundation
Grant: RG/20/4/34803
Engineering and Physical Sciences Research Council
Grant: EP/P01268X/1
Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models
Engineering and Physical Sciences Research Council
Grant: EP/X03870X/1
The Alan Turing Institute 22/23 - Core and Additional Funding
Agence Nationale de la Recherche
Grant: ANR-10-IAHU-04
HORIZON EUROPE European Research Council
Grant: 680969
ERA-NET on cardiovascular diseases to implement joint transnational research projects and set up international cooperations
Austrian Science Fund
Grant: I 4652-B
NHLBI NIH HHS
Grant: R01 HL152256
Wellcome Trust
Grant: 203148/Z/16/Z
Austrian Science Fund FWF
Grant: I 4652
SICVALVES - Multiscale Modeling of Valvular Heart Diseases
Wellcome Trust
Grant: 203148
King's College London Medical Engineering Centre of Research Excellence
National Institutes of Health
Grant: 5R01HL152256-03
Using Atrial Mechanics To Identify Fibrosis In Patients with Atrial Fibrillation
State of Upper Austria
Wellcome Trust
Alan Turing Institute
Wellcome Trust
FWCI
10.74
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Cell to Whole Organ Global Sensitivity Analysis on a Four-chamber Heart Electromechanics Model Using Gaussian Processes Emulators - Training Datasets
Cell to Whole Organ Global Sensitivity Analysis on a Four-chamber Heart Electromechanics Model Using Gaussian Processes Emulators - Training Datasets