2 papers
cs.CV2026
Mitigating Shortcut Learning via Feature Disentanglement in Medical Imaging: A Benchmark Study
Sarah Müller, Philipp Berens
Although deep learning models in medical imaging often achieve excellent classification performance, they can rely on shortcut learning, exploiting spurious correlations or confoun…
cs.CV2026
Ordinal Diffusion Models for Color Fundus Images
Gustav Schmidt, Philipp Berens, Sarah Müller +1
Generative image models such as diffusion models can improve performance on clinically relevant tasks by offering deep learning models supplementary training data. However, most co…