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Plos Computational Biology
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March 29, 2023
Validation framework for epidemiological models with application to COVID-19 models
Kimberly A Dautel, Ephraim Agyingi, Pras Pathmanathan
Frontiers in Physiology
|
July 24, 2023
A computational modeling framework for pre-clinical evaluation of cardiac mapping systems
Suran Galappaththige, Pras Pathmanathan, Richard A Gray
Frontiers in Physiology
|
July 13, 2019
Comprehensive Uncertainty Quantification and Sensitivity Analysis for Cardiac Action Potential Models
Pras Pathmanathan, Jonathan M Cordeiro, Richard A Gray
Frontiers in Medicine
|
October 26, 2018
Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories
Tina M Morrison, Pras Pathmanathan, Mariam Adwan, et al.
IEEE Transactions on Bio-Medical Engineering
|
September 30, 2010
Stimulus protocol determines the most computationally efficient preconditioner for the bidomain equations
Miguel O Bernabeu, Pras Pathmanathan, Joe Pitt-Francis, et al.
Integrative Biology : Quantitative Biosciences From Nano to Macro
|
January 7, 2012
Modelling tissue electrophysiology with multiple cell types: applications of the extended bidomain framework
Alberto Corrias, Pras Pathmanathan, David J Gavaghan, et al.
Frontiers in Physiology
|
June 6, 2019
Effect of Heart Structure on Ventricular Fibrillation in the Rabbit: A Simulation Study
Suran K Galappaththige, Pras Pathmanathan, Martin J Bishop, et al.
Plos Computational Biology
|
October 10, 2022
Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar
Suran Galappaththige, Richard A Gray, Caroline Mendonca Costa, et al.
Frontiers in Physiology
|
October 4, 2021
Credibility Assessment of a Subject-Specific Mathematical Model of Blood Volume Kinetics for Prediction of Physiological Response to Hemorrhagic Shock and Fluid Resuscitation
Bahram Parvinian, Ramin Bighamian, Christopher George Scully, et al.
The Journal of Physiology
|
March 19, 2016
Uncertainty and variability in computational and mathematical models of cardiac physiology
Gary R Mirams, Pras Pathmanathan, Richard A Gray, et al.
Page
of 5
Search research articles
Search
Showing results (11-20 of 47) with videos related to
Sort By:
Page
of 5
Plos Computational Biology
|
March 29, 2023
Validation framework for epidemiological models with application to COVID-19 models
Kimberly A Dautel, Ephraim Agyingi, Pras Pathmanathan
Frontiers in Physiology
|
July 24, 2023
A computational modeling framework for pre-clinical evaluation of cardiac mapping systems
Suran Galappaththige, Pras Pathmanathan, Richard A Gray
Frontiers in Physiology
|
July 13, 2019
Comprehensive Uncertainty Quantification and Sensitivity Analysis for Cardiac Action Potential Models
Pras Pathmanathan, Jonathan M Cordeiro, Richard A Gray
Frontiers in Medicine
|
October 26, 2018
Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories
Tina M Morrison, Pras Pathmanathan, Mariam Adwan, et al.
IEEE Transactions on Bio-Medical Engineering
|
September 30, 2010
Stimulus protocol determines the most computationally efficient preconditioner for the bidomain equations
Miguel O Bernabeu, Pras Pathmanathan, Joe Pitt-Francis, et al.
Integrative Biology : Quantitative Biosciences From Nano to Macro
|
January 7, 2012
Modelling tissue electrophysiology with multiple cell types: applications of the extended bidomain framework
Alberto Corrias, Pras Pathmanathan, David J Gavaghan, et al.
Frontiers in Physiology
|
June 6, 2019
Effect of Heart Structure on Ventricular Fibrillation in the Rabbit: A Simulation Study
Suran K Galappaththige, Pras Pathmanathan, Martin J Bishop, et al.
Plos Computational Biology
|
October 10, 2022
Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar
Suran Galappaththige, Richard A Gray, Caroline Mendonca Costa, et al.
Frontiers in Physiology
|
October 4, 2021
Credibility Assessment of a Subject-Specific Mathematical Model of Blood Volume Kinetics for Prediction of Physiological Response to Hemorrhagic Shock and Fluid Resuscitation
Bahram Parvinian, Ramin Bighamian, Christopher George Scully, et al.
The Journal of Physiology
|
March 19, 2016
Uncertainty and variability in computational and mathematical models of cardiac physiology
Gary R Mirams, Pras Pathmanathan, Richard A Gray, et al.
Page
of 5