170 citations · 1.4k across the 39 of their papers we have counts for
41 papers
Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods
Astrid Berg, Eva Vandersmissen, Maria Wimmer +6
To facilitate both the detection and the interpretation of findings in chest X-rays, comparison with a previous image of the same patient is very valuable to radiologists. Today, t…
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…
Omicron (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance
Jiahui Chen, Rui Wang, Nancy Benovich Gilby +1
The latest severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant Omicron (B.1.1.529) has ushered panic responses around the world due to its contagious and vaccine e…
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…