3 citations · 3 across the 3 of their papers we have counts for
4 papers
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…
Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data
Theresa Neubauer, Maria Wimmer, Astrid Berg +5
Tumor segmentation in multimodal medical images has seen a growing trend towards deep learning based methods. Typically, studies dealing with this topic fuse multimodal image data…
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…