Explainable Artificial Intelligence on Biosignals for Clinical Decision Support. - Miriam Cindy Maurer; Jacqueline Michelle Metsch; Philip Hempel; Theresa Bender; Nicolai Spicher; Anne-Christin Hauschild (KDD, 2024)

CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks. - Jacqueline Michelle Metsch; Anna Saranti; Alessa Angerschmid; Bastian Pfeifer; Vanessa Klemt; Andreas Holzinger; Anne-Christin Hauschild (J. Biomed. Informatics, 2024)

BenchXAI: Comprehensive benchmarking of post-hoc explainable AI methods on multi-modal biomedical data. - Jacqueline Michelle Metsch; Anne-Christin Hauschild (Comput. Biol. Medicine, 2025)

MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification. - Anh-Tien Nguyen; Duy Minh Ho Nguyen; Nghiem Tuong Diep; Trung Quoc Nguyen; Nhat Ho; Jacqueline Michelle Metsch; Miriam Cindy Maurer; Daniel Sonntag; Hanibal Bohnenberger; Anne-Christin Hauschild (Trans. Mach. Learn. Res., 2025)

MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification. - Anh-Tien Nguyen; Duy Minh Ho Nguyen; Nghiem Tuong Diep; Trung Quoc Nguyen; Nhat Ho; Jacqueline Michelle Metsch; Miriam Cindy Maurer; Daniel Sonntag; Hanibal Bohnenberger; Anne-Christin Hauschild (CoRR, 2025)