3 citations · 4 across the 2 of their papers we have counts for
2 papers
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…