3 papers
eess.IV2025
Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing
Daniel H. Pak, Shubh Thaker, Kyle Baylous +3
High-quality volumetric meshing from medical images is a key bottleneck for physics-based simulations in personalized medicine. For volumetric meshing of complex medical structures…
cs.CE2024
Thrombogenic Risk Assessment of Transcatheter Prosthetic Heart Valves Using a Fluid-Structure Interaction Approach
Kyle Baylous, Brandon Kovarovic, Salwa Anam +3
Prosthetic heart valve interventions such as TAVR have surged over the past decade, but the associated complication of long-term, life-threatening thrombotic events continues to un…
cs.CE2023
In Silico Fatigue Optimization of TAVR Stent Designs with Physiological Motion in a Beating Heart Model
Kyle Baylous, Ryan Helbock, Brandon Kovarovic +3
The rapid expansion of TAVR to younger, low-risk patients raises concerns regarding device durability. Necessarily, extended stent lifetime will become more critical for new genera…