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Jan Lehr

Observed names: J Lehr, J. Lehr, Lehr, Jan
ORCID: 0000-0002-3392-0108
Observed ORCID: 0000-0002-3392-0108
OpenAlex ID: A5003801733
Vision-based Identification Service for Remanufacturing Sorting
2018 · Marian Schlüter, Carsten Niebuhr, et al. · Procedia Manufacturing · 42
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Deep learning for part identification based on inherent features
2019 · Jörg Krüger, Jan Lehr, et al. · CIRP Annals · 36
Classification of Similar Objects of Different Sizes Using a Reference Object by Means of Convolutional Neural Networks
2019 · Jan Lehr, Marian Schluter, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 21
Supervised learning vs. unsupervised learning: A comparison for optical inspection applications in quality control
2021 · J Lehr, J Philipps, et al. · IOP Conference Series Materials Science and Engineering · 19
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Automated Optical Inspection Using Anomaly Detection and Unsupervised Defect Clustering
2020 · Jan Lehr, Alik Sargsyan, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 14
Image-based recognition of surgical instruments by means of convolutional neural networks
2023 · Jan Lehr, Kathrin Kelterborn, et al. · International Journal of Computer Assisted Radiology and Surgery · 8
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Towards Deep Learning in Industrial Applications Taking Advantage of Service-Oriented Architectures
2020 · Clemens Briese, Marian Schlüter, et al. · Procedia Manufacturing · 7
AD3: Introducing a Score for Anomaly Detection Dataset Difficulty Assessment Using VIADUCT Dataset
2024 · Jan Lehr, Jan Philipps, et al. · Lecture notes in computer science · 3
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Limitations of anomaly detection: beyond which size defects can be reliably recognized
2024 · Jan Lehr, Martin Pape, et al. · International Conference on Machine Vision · 3
Decentralised identification of used exchange parts with a mobile application
2020 · Marian Schlüter, Jörg Krüger, et al. · International Journal of Sustainable Manufacturing · 3
Development of a Fire Detection Based on the Analysis of Video Data by Means of Convolutional Neural Networks
2019 · Jan Lehr, Christian Gerson, et al. · Lecture notes in computer science · 2
Challenges of Automatic Optical Inspection of Used Turbine Blades with Convolutional Neural Networks
2025 · J. Lehr, C. Briese, et al. · Lecture notes in mechanical engineering
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Chances for Decreasing the Carbon Footprint in Hospitals by Means of AI-Based Recognition of Surgical Instruments
2025 · Anna-Maria Paust, Ümit Ejder, et al. · Lecture notes in mechanical engineering
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Insights of anomaly detection: How does polluted training data influence performance?
2024 · Jan Lehr, Martin Pape, et al. · International Conference on Machine Vision
Towards anomaly detection: A feasibilty study for quality control in productions of nonwovens
2024 · Jan Lehr, Martin Pape, et al. · AIP conference proceedings
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Image-Based Incremental Learning for Part Recognition of Used Automotive Cores in Reverse Logistics
2024 · Clemens Briese, Vivek Chavan, et al. · Lecture notes in mechanical engineering
Chancen und Grenzen der Anomaliedetektion
2023 · Jan Lehr · JOT Journal für Oberflächentechnik
Chancen und Grenzen der Anomaliedetektion
2023 · Jan Lehr · JOT Journal für Oberflächentechnik
4 Deep-Learning Plattform für dezentrale Bauteilerkennung
2022 · J. Lehr, J. Krüger · VDI Verlag eBooks
OP-Siebe: Automatische Kontrolle beim Packen
2021 · Jan Lehr · kma - Klinik Management aktuell
KI-gestützte Bildverarbeitung für Industrieanwendungen
2019 · Jan Lehr · JOT Journal für Oberflächentechnik
Works count: 26
Citation count: 159
H-index: 7
I10-index: 5
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