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

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)

Continual Domain Incremental Learning for Privacy-Aware Digital Pathology. - Pratibha Kumari 001; Daniel Reisenbüchler; Lucas Luttner; Nadine S. Schaadt; Friedrich Feuerhake; Dorit Merhof (MICCAI (12), 2024)

Unsupervised Latent Stain Adaptation for Computational Pathology. - Daniel Reisenbüchler; Lucas Luttner; Nadine S. Schaadt; Friedrich Feuerhake; Dorit Merhof (MICCAI (11), 2024)

Unsupervised Latent Stain Adaption for Digital Pathology. - Daniel Reisenbüchler; Lucas Luttner; Nadine S. Schaadt; Friedrich Feuerhake; Dorit Merhof (CoRR, 2024)

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning. - Pratibha Kumari 001; Afshin Bozorgpour; Daniel Reisenbüchler; Edgar Jost; Martina Crysandt; Christian Matek; Dorit Merhof (CoRR, 2025)

Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis. - Pratibha Kumari 001; Daniel Reisenbüchler; Afshin Bozorgpour; Nadine S. Schaadt; Friedrich Feuerhake; Dorit Merhof (CoRR, 2025)

CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation. - Hongjin Fang; Daniel Reisenbüchler; Kenji Ikemura; Mert R. Sabuncu; Yihe Yang; Ruining Deng (CoRR, 2025)