125 citations · 178 across the 5 of their papers we have counts for
5 papers
LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart
Arjun Narayanan, Fanwei Kong, Shawn Shadden
We present a deep learning model to automatically generate computer models of the human heart from patient imaging data with an emphasis on its capability to generate thin-walled c…
Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations
Fanwei Kong, Shawn Shadden
Patient-specific cardiac modeling combines geometries of the heart derived from medical images and biophysical simulations to predict various aspects of cardiac function. However,…
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.…