3 citations · 4 across the 3 of their papers we have counts for
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★ 3 cited
AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis
Caglar Ozturk, Daniel H. Pak, Luca Rosalia +6
Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity preclinical models can improve AS management by enabling therapeutic innovation…
cs.CE2024★ 1 cited
Robust automated calcification meshing for biomechanical cardiac digital twins
Daniel H. Pak, Minliang Liu, Theodore Kim +5
Calcification has significant influence over cardiovascular diseases and interventions. Detailed characterization of calcification is thus desired for predictive modeling, but calc…