7 papers · 1 filter
Data Synthesis Improves 3D Myotube Instance Segmentation
David Exler, Nils Friederich, Martin Krüger +5
Myotubes are multinucleated muscle fibers serving as key model systems for studying muscle physiology, disease mechanisms, and drug responses. Mechanistic studies and drug screenin…
Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
Thomas Lautenschlager, Nils Friederich, Angelo Jovin Yamachui Sitcheu +4
High-throughput toxicity testing offers a fast and cost-effective way to test large amounts of compounds. A key component for such systems is the automated evaluation via machine l…
Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
Simon Baeuerle, Pratik Khanna, Nils Friederich +4
Foundation Models (FMs) have shown impressive performance on various text and image processing tasks. They can generalize across domains and datasets in a zero-shot setting. This c…
LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation
Pascal Zwick, Nils Friederich, Maximilian Beichter +3
Enhancing the efficiency of high-quality image generation using Diffusion Models (DMs) is a significant challenge due to the iterative nature of the process. Flow Matching (FM) is…
Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics
J. Seiffarth, L. Blöbaum, R. D. Paul +6
Tracking the development of living cells in live-cell time-lapses reveals crucial insights into single-cell behavior and presents tremendous potential for biomedical and biotechnol…
Security Fence Inspection at Airports Using Object Detection
Nils Friederich, Andreas Specker, Jürgen Beyerer
To ensure the security of airports, it is essential to protect the airside from unauthorized access. For this purpose, security fences are commonly used, but they require regular i…