X-Ray Image Generation as a Method of Performance Prediction for Real-Time Inspection: a Case Study
Data-driven noise model for simulated X-ray images
Quantifying the effect of X-ray scattering for data generation in real-time defect detection
Using Monte-Carlo methods to simulate X-ray images
CT-based data generation for foreign object detection on a single X-ray projection
Training neural networks on artificial objects based on deformations of CT scans
Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry
Improving material separation in dual-energy imaging
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications
Contribution to the paper of Code Sprint 2020
Development of the Projection-Based Material Decomposition Algorithm for Multienergy CT
CT Reconstruction based on the spectral data from a photon-counting detector