10 citations · 13 across the 5 of their papers we have counts for
4 papers · 1 filter
Multi-scale attention-based instance segmentation for measuring crystals with large size variation
Theresa Neubauer, Astrid Berg, Maria Wimmer +8
Quantitative measurement of crystals in high-resolution images allows for important insights into underlying material characteristics. Deep learning has shown great progress in vis…
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans
Marc Dietrichstein, David Major, Martin Trapp +6
Unsupervised anomaly detection models which are trained solely by healthy data, have gained importance in the recent years, as the annotation of medical data is a tedious task. Aut…
Domain aware medical image classifier interpretation by counterfactual impact analysis
Dimitrios Lenis, David Major, Maria Wimmer +3
The success of machine learning methods for computer vision tasks has driven a surge in computer assisted prediction for medicine and biology. Based on a data-driven relationship b…
Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis
David Major, Dimitrios Lenis, Maria Wimmer +3
Clinical applicability of automated decision support systems depends on a robust, well-understood classification interpretation. Artificial neural networks while achieving class-le…