Image-based deep learning of finite element simulations for fast surrogate biomechanical organ deformations

Image-based deep learning of finite element simulations for fast surrogate biomechanical organ deformations

Introduction: We apply deep learning to emulate Finite Element simulations by exploiting neural networks as universal function approximators. A novel processing pipeline automates the incorporation of three-dimensional biomechanical simulation data into an image-based deep learning task where spatia...

Full description

Bibliographic Details
Main Authors: Ziche Lorenz, Lenzig Bjarne, Bieck Richard, Neumuth Thomas, Schoenfelder Stephan
Format: Article
Language:English
Published: De Gruyter 2022-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
physics-informed networks
finite element simulations
liver deformation
deep learning
pytorch
cnn
u-net
Online Access:https://doi.org/10.1515/cdbme-2022-1135

Internet

https://doi.org/10.1515/cdbme-2022-1135

Similar Items