Prof. Dr. Christian Schorr

Contact +49 681 85775 5314 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 4Stuhlsatzenhausweg 366123 Saarbrücken

Publications

A Scalable Synthetic Data Creation Pipeline for AI-Based Automated Optical Quality Control
Christian Schorr; Sebastian Hocke; Tobias Masiak; Patrick Trampert
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.
Synthetic Training Data Generation for Deep Learning-Based Billet Detection in Rolling Mills
Maria Luschkova; Christian Schorr; Tim Dahmen
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.
Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets
Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen
In: Antonio Fernández-Caballero (Hrsg.). Applied Sciences, Vol. 11 - Special Issue on Explainable AI, No. 5, Pages 2199-2215, MDPI, Basel, 3/2021.

ML-Synthom
Fertigungsnahes Maschinelles Lernen für die Automobilzuliefererindustrie durch synthetische Generierung von Oberflächen und Materialien
Ensuring industrial quality through new research
The ML-SYNTHOM project is developing an AI-based test procedure for quality assurance for new types of components in industrial production. The…
PHARMOPRO-KI
Pharmacokinetic Modelling of Propofol Using Artificial Intelligence
PHARMOPRO-KI is a collaborative project between DFKI and the Department of Anaesthesiology at Saarland University Hospital, commissioned by the Saarland State Research Fund. As part of the project,…