Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. - Susu Sun; Stefano Woerner; Andreas K. Maier; Lisa M. Koch; Christian F. Baumgartner (MIDL, 2023)

Navigating Data Scarcity Using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging. - Stefano Woerner; Christian F. Baumgartner (MedAGI@MICCAI, 2024)

A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta). - Stefano Woerner; Arthur Jaques; Christian F. Baumgartner (CoRR, 2024)

Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals. - Susu Sun; Stefano Woerner; Andreas K. Maier; Lisa M. Koch; Christian F. Baumgartner (CoRR, 2024)