125 citations · 259 across the 3 of their papers we have counts for
3 papers
Automated generation of 0D and 1D reduced-order models of patient-specific blood flow
Martin R. Pfaller, Jonathan Pham, Aekaansh Verma +5
Three-dimensional (3D) cardiovascular fluid dynamics simulations typically require hours to days of computing time on a high-performance computing cluster. One-dimensional (1D) and…
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…
On the periodicity of cardiovascular fluid dynamics simulations
Martin R. Pfaller, Jonathan Pham, Nathan M. Wilson +2
Three-dimensional cardiovascular fluid dynamics simulations typically require computation of several cardiac cycles before they reach a periodic solution, rendering them computatio…