Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle
Authors
Keywords
-
Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume 378, Issue 2173, Pages 20190381
Publisher
The Royal Society
Online
2020-05-28
DOI
10.1098/rsta.2019.0381
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Uncertainty in cardiac myofiber orientation and stiffnesses dominate the variability of left ventricle deformation response
- (2019) Rocío Rodríguez-Cantano et al. International Journal for Numerical Methods in Biomedical Engineering
- Characterizing the clinical implementation of a novel activation-repolarization metric to identify targets for catheter ablation of ventricular tachycardias using computational models
- (2019) Fernando O. Campos et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Sensitivity of stress and strain calculations to passive material parameters in cardiac mechanical models using unloaded geometries
- (2019) S. Kallhovd et al. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
- Effects of left ventricle wall thickness uncertainties on cardiac mechanics
- (2019) Joventino O. Campos et al. Biomechanics and Modeling in Mechanobiology
- Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance
- (2019) Umberto Noè et al. Journal of the Royal Society Interface
- Fast uncertainty quantification of activation sequences in patient-specific cardiac electrophysiology meeting clinical time constraints
- (2018) A. Quaglino et al. International Journal for Numerical Methods in Biomedical Engineering
- Left Ventricular Diastolic Myocardial Stiffness and End-Diastolic Myofibre Stress in Human Heart Failure Using Personalised Biomechanical Analysis
- (2018) Zhinuo J. Wang et al. Journal of Cardiovascular Translational Research
- Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics
- (2018) Paolo Di Achille et al. Frontiers in Physiology
- Ectopic beats arise from micro-reentries near infarct regions in simulations of a patient-specific heart model
- (2018) Rafael Sachetto Oliveira et al. Scientific Reports
- The impact of personalized probabilistic wall thickness models on peak wall stress in abdominal aortic aneurysms
- (2017) J. Biehler et al. International Journal for Numerical Methods in Biomedical Engineering
- Preconditioned augmented Lagrangian formulation for nearly incompressible cardiac mechanics
- (2017) Joventino Oliveira Campos et al. International Journal for Numerical Methods in Biomedical Engineering
- Uncertainty quantification of 2 models of cardiac electromechanics
- (2017) Daniel E. Hurtado et al. International Journal for Numerical Methods in Biomedical Engineering
- Effects of arterial wall models and measurement uncertainties on cardiovascular model predictions
- (2017) V.G. Eck et al. JOURNAL OF BIOMECHANICS
- Personalised computational cardiology: Patient-specific modelling in cardiac mechanics and biomaterial injection therapies for myocardial infarction
- (2016) Kevin L. Sack et al. HEART FAILURE REVIEWS
- A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
- (2015) Wenjia Bai et al. MEDICAL IMAGE ANALYSIS
- Chaospy: An open source tool for designing methods of uncertainty quantification
- (2015) Jonathan Feinberg et al. Journal of Computational Science
- Distribution of normal human left ventricular myofiber stress at end diastole and end systole: a target for in silico design of heart failure treatments
- (2014) Martin Genet et al. JOURNAL OF APPLIED PHYSIOLOGY
- A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
- (2013) Avan Suinesiaputra et al. MEDICAL IMAGE ANALYSIS
- A Novel Rule-Based Algorithm for Assigning Myocardial Fiber Orientation to Computational Heart Models
- (2012) J. D. Bayer et al. ANNALS OF BIOMEDICAL ENGINEERING
- Uncertainty Analysis of Ventricular Mechanics Using the Probabilistic Collocation Method
- (2012) H. Osnes et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Influence of left-ventricular shape on passive filling properties and end-diastolic fiber stress and strain
- (2010) H.F. Choi et al. JOURNAL OF BIOMECHANICS
- Determinants of left ventricular shear strain
- (2009) Peter H. M. Bovendeerd et al. AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started