62 citations · 66 across the 3 of their papers we have counts for
4 papers
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
Haroui Ma, Francesco Quinzan, Theresa Willem +1
Machine learning (ML) systems for medical imaging have demonstrated remarkable diagnostic capabilities, but their susceptibility to biases poses significant risks, since biases may…
Transformer-based interpretable multi-modal data fusion for skin lesion classification
Theodor Cheslerean-Boghiu, Melia-Evelina Fleischmann, Theresa Willem +1
A lot of deep learning (DL) research these days is mainly focused on improving quantitative metrics regardless of other factors. In human-centered applications, like skin lesion cl…
Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification
Alessandro Wollek, Robert Graf, Saša Čečatka +4
Purpose: To investigate chest radiograph (CXR) classification performance of vision transformers (ViT) and interpretability of attention-based saliency using the example of pneumot…
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification
Alessandro Wollek, Theresa Willem, Michael Ingrisch +2
To investigate the impact of OOD radiographs on existing chest X-ray classification models and to increase their robustness against OOD data. The study employed the commonly used c…