The cardiovascular system: mathematical modelling, numerical algorithms and clinical applications
Mathematical and numerical modelling of the cardiovascular system is a research topic that
has attracted remarkable interest from the mathematical community because of its intrinsic …
has attracted remarkable interest from the mathematical community because of its intrinsic …
Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics
R Chabiniok, VY Wang… - Interface …, 2016 - royalsocietypublishing.org
With heart and cardiovascular diseases continually challenging healthcare systems
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters
A damage detection methodology is proposed by integrating a nonlinear recursive filter and
a non-contact computer vision based algorithm to measure structural dynamic responses. A …
a non-contact computer vision based algorithm to measure structural dynamic responses. A …
[图书][B] Mathematical modelling of the human cardiovascular system: data, numerical approximation, clinical applications
Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …
External tissue support and fluid–structure simulation in blood flows
The objective of this work is to address the formulation of an adequate model of the external
tissue environment when studying a portion of the arterial tree with fluid–structure …
tissue environment when studying a portion of the arterial tree with fluid–structure …
A new Kalman filter approach for structural parameter tracking: Application to the monitoring of damaging structures tested on shaking-tables
In this paper, a new data assimilation framework for correcting finite element models from
datasets acquired on-the-fly in low-frequency dynamics is presented. An Unscented Kalman …
datasets acquired on-the-fly in low-frequency dynamics is presented. An Unscented Kalman …
Efficient derivative-free Bayesian inference for large-scale inverse problems
We consider Bayesian inference for large-scale inverse problems, where computational
challenges arise from the need for repeated evaluations of an expensive forward model …
challenges arise from the need for repeated evaluations of an expensive forward model …
mCRE-based parameter identification from full-field measurements: Consistent framework, integrated version, and extension to nonlinear material behaviors
In this paper, we address the effective and robust identification of material behavior
parameters from full-field measurements obtained by means of the advanced Digital Image …
parameters from full-field measurements obtained by means of the advanced Digital Image …
Estimation of tissue contractility from cardiac cine-MRI using a biomechanical heart model
R Chabiniok, P Moireau, PF Lesault… - … and modeling in …, 2012 - Springer
The objective of this paper is to propose and assess an estimation procedure—based on
data assimilation principles—well suited to obtain some regional values of key biophysical …
data assimilation principles—well suited to obtain some regional values of key biophysical …
Sequential parameter estimation for fluid–structure problems: application to hemodynamics
C Bertoglio, P Moireau… - International Journal for …, 2012 - Wiley Online Library
We present a robust and computationally efficient parameter estimation strategy for fluid–
structure interaction problems. The method is based on a filtering algorithm restricted to the …
structure interaction problems. The method is based on a filtering algorithm restricted to the …