Daniel Reisenbüchler

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Footprint-Guided Exemplar-Free Continual Histopathology Report Generation.
CoRR
Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Yousef Sadegheih, Priyankar Choudhary, Dorit Merhof
2026 J jnl
Tissue Classification and Whole-Slide Images Analysis via Modeling of the Tumor Microenvironment and Biological Pathways.
CoRR
Junzhuo Liu, Xuemei Du, Daniel Reisenbüchler, Ye Chen, Markus Eckstein, Christian Matek, Friedrich Feuerhake, Dorit Merhof
2025 J jnl
Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis.
CoRR
Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2025 J jnl
CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation.
CoRR
Hongjin Fang, Daniel Reisenbüchler, Kenji Ikemura, Mert R. Sabuncu, Yihe Yang, Ruining Deng
2025 J jnl
Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning.
CoRR
Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof
2025 J jnl
From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology.
CoRR
Zhenhao Guo, Rachit Saluja, Tianyuan Yao, Quan Liu, Junchao Zhu, Haibo Wang, Daniel Reisenbüchler, Yuankai Huo, Benjamin Liechty, David J. Pisapia, Kenji Ikemura, Steven Salvatoree, Surya Seshane, Mert R. Sabuncu, Yihe Yang, Ruining Deng
2025 — conf
Top-Down Attention-Based Multiple Instance Learning for Whole Slide Image Analysis.
MICCAI (1)
Daniel Reisenbüchler, Ruining Deng, Christian Matek, Friedrich Feuerhake, Dorit Merhof
2024 — conf
Continual Domain Incremental Learning for Privacy-Aware Digital Pathology.
MICCAI (12)
Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2024 J jnl
Continual Domain Incremental Learning for Privacy-aware Digital Pathology.
CoRR
Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2024 — conf
Unsupervised Latent Stain Adaptation for Computational Pathology.
MICCAI (11)
Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2024 J jnl
Unsupervised Latent Stain Adaption for Digital Pathology.
CoRR
Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof
2023 J jnl
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study.
CoRR
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, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Müller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather
2022 — conf
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction.
MICCAI (2)
Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng
2022 J jnl
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction.
CoRR
Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng