7 citations · 11 across the 5 of their papers we have counts for
8 papers
Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations
Fanwei Kong, Shawn C. Shadden
Image-based computer simulation of cardiac function can be used to probe the mechanisms of (patho)physiology, and guide diagnosis and personalized treatment of cardiac diseases. Th…
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction
Fanwei Kong, Nathan Wilson, Shawn C. Shadden
Automated construction of surface geometries of cardiac structures from volumetric medical images is important for a number of clinical applications. While deep-learning-based appr…
Simulation of Cardiac Flow: Analysis of Geometry Simplification
Fanwei Kong, Christoph Augustin, Kevin Sack +1
Cardiovascular diseases (CVDs) are the leading causes of mortality worldwide. The contraction and relaxation of left ventricle (LV) is the main driving force of blood circulation.…
Improving the Convergence of the Iterative Ensemble Kalman Filter by Resampling
Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden
The iterative ensemble Kalman filter (IEnKF) is widely used in inverse problems to estimate system parameters from limited observations. However, the IEnKF, when applied to nonline…
FEniCS Mechanics: A Package for Continuum Mechanics Simulations
Miguel A. Rodriguez, Christoph M. Augustin, Shawn C. Shadden
FEniCS Mechanics is a Python package to facilitate computational mechanics simulations. The Python library dolfin, from the FEniCS Project, is used to formulate and numerically sol…
Adding Constraints to Bayesian Inverse Problems
Jiacheng Wu, Jian-Xun Wang, Shawn C. Shadden
Using observation data to estimate unknown parameters in computational models is broadly important. This task is often challenging because solutions are non-unique due to the compl…