125 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Stanford UniversityUS2 papers
- University of California, BerkeleyUS2 papers
- Alibaba Group (China)CN1 paper
- Berkeley CollegeUS1 paper
- Bioengineering CenterRU1 paper
- Brookings InstitutionUS1 paper
- California State University, SacramentoUS1 paper
- Cardiovascular Institute of the SouthUS1 paper
- Film IndependentUS1 paper
- High Energy Accelerator Research OrganizationJP1 paper
- IIT@MITUS1 paper
- Independent SectorUS1 paper
4 papers · 1 filter
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…
Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks
David F. Hahn, Christopher I. Bayly, Hannah E. Bruce Macdonald +8
Free energy calculations are rapidly becoming indispensable in structure-enabled drug discovery programs. As new methods, force fields, and implementations are developed, assessing…
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…