3 citations · 3 across the 3 of their papers we have counts for
3 papers
Deformable registration and generative modelling of aortic anatomies by auto-decoders and neural ODEs
Riccardo Tenderini, Luca Pegolotti, Fanwei Kong +4
This work introduces AD-SVFD, a deep learning model for the deformable registration of vascular shapes to a pre-defined reference and for the generation of synthetic anatomies. AD-…
Full-field surrogate modeling of cardiac function encoding geometric variability
Elena Martinez, Beatrice Moscoloni, Matteo Salvador +3
Combining physics-based modeling with data-driven methods is critical to enabling the translation of computational methods to clinical use in cardiology. The use of rigorous differ…
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects
Fanwei Kong, Sascha Stocker, Perry S. Choi +3
Congenital heart disease (CHD) encompasses a spectrum of cardiovascular structural abnormalities, often requiring customized treatment plans for individual patients. Computational…