Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? - Susu Sun; Lisa M. Koch; Christian F. Baumgartner (MICCAI (2), 2023)

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

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)

Click-through rate prediction model based on graph networks and feature squeeze-and-excitation mechanism. - Zhongqin Bi; Susu Sun; Weina Zhang; Meijing Shan (Int. J. Web Inf. Syst., 2024)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology. - Susu Sun; Leslie Tessier; Frédérique Meeuwsen; Clément Grisi; Dominique van Midden; Geert Litjens 001; Christian F. Baumgartner (CoRR, 2025)

Prototype-Based Multiple Instance Learning for Gigapixel Whole Slide Image Classification. - Susu Sun; Dominique van Midden; Geert Litjens 001; Christian F. Baumgartner (CoRR, 2025)

Subgroup Performance Analysis in Hidden Stratifications. - Alceu Bissoto; Trung-Dung Hoang; Tim Flühmann; Susu Sun; Christian F. Baumgartner; Lisa M. Koch (CoRR, 2025)