3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Deep Sequential Segmentation of Organs in Volumetric Medical Scans
Alexey Novikov, David Major, Maria Wimmer +2
Segmentation in 3D scans is playing an increasingly important role in current clinical practice supporting diagnosis, tissue quantification, or treatment planning. The current 3D a…