Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. - Tingying Peng; Melanie Boxberg; Wilko Weichert; Nassir Navab; Carsten Marr (MICCAI (1), 2019)

Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. - Sophia J. Wagner; Nadieh Khalili; Raghav Sharma; Melanie Boxberg; Carsten Marr; Walter de Back; Tingying Peng (MICCAI (8), 2021)

Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. - Daniel Reisenbüchler; Sophia J. Wagner; Melanie Boxberg; Tingying Peng (MICCAI (2), 2022)

S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning. - Manuel Tran; Sophia J. Wagner; Melanie Boxberg; Tingying Peng (MICCAI (2), 2022)

B-Cos Aligned Transformers Learn Human-Interpretable Features. - Manuel Tran; Amal Lahiani; Yashin Dicente Cid; Melanie Boxberg; Peter Lienemann; Christian Matek; Sophia J. Wagner; Fabian J. Theis; Eldad Klaiman; Tingying Peng (MICCAI (8), 2023)

Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. - Sophia J. Wagner; Daniel Reisenbüchler; Nicholas P. West; Jan Moritz Niehues; Gregory Patrick Veldhuizen; Philip Quirke; Heike Irmgard Grabsch; Piet A. van den Brandt; Gordon G. A. Hutchins; Susan D. Richman; Tanwei Yuan; Rupert Langer; et al. (CoRR, 2023)

Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data. - Manuel Tran; Sophia J. Wagner; Wilko Weichert; Christian Matek; Melanie Boxberg; Tingying Peng (IEEE Trans. Medical Imaging, 2025)