Classification of Similar Objects of Different Sizes Using a Reference Object by Means of Convolutional Neural Networks. - Jan Lehr; Marian Schlüter; Jörg Krüger (ETFA, 2019)

Development of a Fire Detection Based on the Analysis of Video Data by Means of Convolutional Neural Networks. - Jan Lehr; Christian Gerson; Mohamad Ajami; Jörg Krüger (IbPRIA (2), 2019)

Automated Optical Inspection Using Anomaly Detection and Unsupervised Defect Clustering. - Jan Lehr; Alik Sargsyan; Martin Pape; Jan Philipps; Jörg Krüger (ETFA, 2020)

Insights of anomaly detection: How does polluted training data influence performance? - Jan Lehr; Martin Pape; Samuel Günther; Jörg Krüger (ICMV, 2023)

Limitations of anomaly detection: beyond which size defects can be reliably recognized. - Jan Lehr; Martin Pape; Jan Philipps; Felix Scholler; Jörg Krüger (ICMV, 2023)

Image-based recognition of surgical instruments by means of convolutional neural networks. - Jan Lehr; Kathrin Kelterborn; Clemens Briese; Marian Schlüter; Ole Kröger; Jörg Krüger (Int. J. Comput. Assist. Radiol. Surg., 2023)

AD3: Introducing a Score for Anomaly Detection Dataset Difficulty Assessment Using VIADUCT Dataset. - Jan Lehr; Jan Philipps; Alik Sargsyan; Martin Pape; Jörg Krüger (ECCV (68), 2024)