Daniel Reisenbüchler

According to our database, Daniel Reisenbüchler authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations.

Leiyue Zhao, Tianyu Shi, Daniel Reisenbüchler, Xinzi He, Junchao Zhu, Tianyuan Yao, Yuechen Yang, Yanfan Zhu, Junlin Guo, Gelei Xu, Haichun Yang, Yuankai Huo, Mert R. Sabuncu, Yihe Yang, Ruining Deng

CoRR, May, 2026

Footprint-Guided Exemplar-Free Continual Histopathology Report Generation.

Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Yousef Sadegheih, Priyankar Choudhary, Dorit Merhof

CoRR, February, 2026

Tissue Classification and Whole-Slide Images Analysis via Modeling of the Tumor Microenvironment and Biological Pathways.

Junzhuo Liu, Xuemei Du, Daniel Reisenbüchler, Ye Chen, Markus Eckstein, Christian Matek, Friedrich Feuerhake, Dorit Merhof

CoRR, January, 2026

2025

From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology.

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

CoRR, November, 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, August, 2025

Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis.

Pratibha Kumari, Daniel Reisenbüchler, Afshin Bozorgpour, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof

CoRR, May, 2025

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning.

Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Crysandt, Christian Matek, Dorit Merhof

CoRR, March, 2025

Top-Down Attention-Based Multiple Instance Learning for Whole Slide Image Analysis.

Daniel Reisenbüchler, Ruining Deng, Christian Matek, Friedrich Feuerhake, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Unsupervised Latent Stain Adaption for Digital Pathology.

Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof

CoRR, 2024

Unsupervised Latent Stain Adaptation for Computational Pathology.

Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Continual Domain Incremental Learning for Privacy-Aware Digital Pathology.

Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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, 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

CoRR, 2023

2022

Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction.

Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022