Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models

15 December 2023

Papers citing "Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models"

7 / 7 papers shown

Title
Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models Matthias Höfler Francesco Regazzoni S. Pagani Elias Karabelas Christoph M. Augustin Gundolf Haase Gernot Plank Federica Caforio 29 0 0 06 May 2025
Enhanced uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems Andrea Tonini Luca Dede' UQCV BDL 96 0 0 18 Feb 2025
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective Sizhuang He Ananyae Kumar Bhartari Bowen Li P. Perdikaris PINN 56 4 0 02 Feb 2025
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization Michal Balcerak Tamaz Amiranashvili Andreas Wagner Jonas Weidner Petr Karnakov Johannes C. Paetzold Ivan Ezhov Petros Koumoutsakos Benedikt Wiestler Bjoern H. Menze AI4CE 22 2 0 30 Sep 2024
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps Carlos Ruiz Herrera Thomas Grandits Gernot Plank P. Perdikaris F. Sahli Costabal Simone Pezzuto 32 38 0 28 Jan 2022
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sizhuang He Hanwen Wang P. Perdikaris 131 438 0 18 Dec 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 183 759 0 13 Mar 2020