Publikationen

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1. Christian Schorr; Sebastian Hocke; Tobias Masiak; Patrick Trampert

   A Scalable Synthetic Data Creation Pipeline for AI-Based Automated Optical Quality Control

   In: Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH-2024), July 10-12, Dijon, France, Pages 37-46, ISBN 978-989-758-708-5, SCITEPRESS, Portugal, 2024.

2. Maria Luschkova; Christian Schorr; Tim Dahmen

   Synthetic Training Data Generation for Deep Learning-Based Billet Detection in Rolling Mills

   In: Proceedings of the International Conference on NDE 4.0. International Conference on NDE 4.0 (NDE 4.0), October 24-27, Berlin, Germany, DGzfP, 2022.

3. Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen

   Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

   In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

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