@conference {1952, title = {Mixed-Scale Dense Convolutional Neural Network based Improvement of Glass Fiber-reinforced Composite CT Images}, year = {2019}, month = {07/2019}, abstract = {For the study of glass fiber-reinforced polymers (GFRP), {\textmu}CT is the method of choice. Obtaining GFRP parameters from a {\textmu}CT scan is difficult, due to the presence of noise and artifacts. We propose a method to improve GFRP image quality using a recently introduced deep neural network. We describe the network{\textquoteright}s setup and the data generation and show how the trained network improves the reconstruction.}, author = {Tim Elberfeld and Shabab Bazrafkan and Jan De Beenhouwer and Jan Sijbers} }