3 papers
eess.IV2025
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…
q-bio.TO2025
Large deformation diffeomorphic cardiac strain mapping
Beatrice Moscoloni, Patrick Segers, Mathias Peirlinck
Cardiac deformation is a crucial biomarker for the evaluation of cardiac function. Current methods for estimating cardiac strain might underestimate local deformation due to throug…
cs.CE2025
Atrial constitutive neural networks
Mathias Peirlinck, Kevin Linka, Ellen Kuhl
This work presents a novel approach for characterizing the mechanical behavior of atrial tissue using constitutive neural networks. Based on experimental biaxial tensile test data…