Anomaly detection on arbitrarily distorted 2D patterns by computation of a virtual golden sample. - Matthias Haselmann; Dieter Paul Gruber (ICIP, 2016)

Supervised Machine Learning Based Surface Inspection by Synthetizing Artificial Defects. - Matthias Haselmann; Dieter Gruber (ICMLA, 2017)

Anomaly Detection Using Deep Learning Based Image Completion. - Matthias Haselmann; Dieter Paul Gruber; Paul Tabatabai (ICMLA, 2018)

Pixel-Wise Defect Detection by CNNs without Manually Labeled Training Data. - Matthias Haselmann; Dieter Paul Gruber (Appl. Artif. Intell., 2019)

Inspection of Transparent Objects with Varying Light Scattering Using a Frangi Filter. - Dieter Paul Gruber; Matthias Haselmann (J. Imaging, 2021)

Finger Contact Area Analysis with Convolutional Neural Networks. - Thomas Ules; Matthias Haselmann; Michael Grießer; Dieter Paul Gruber (Appl. Artif. Intell., 2022)

Efficient surface defect detection in industrial screen printing with minimized labeling effort. - Paul Josef Krassnig; Matthias Haselmann; Michael Kremnitzer; Dieter Paul Gruber (Integr. Comput. Aided Eng., 2025)