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Daniel Reisenbüchler
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2020 – today
- 2024
- [c3]Pratibha Kumari
, Daniel Reisenbüchler
Continual Domain Incremental Learning for Privacy-Aware Digital Pathology. MICCAI (12) 2024: 34-44 - [c2]Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Unsupervised Latent Stain Adaptation for Computational Pathology. MICCAI (11) 2024: 755-765 - [i4]Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt
Unsupervised Latent Stain Adaption for Digital Pathology. CoRR abs/2406.19081 (2024) - [i3]Pratibha Kumari, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Continual Domain Incremental Learning for Privacy-aware Digital Pathology. CoRR abs/2409.06455 (2024) - 2023
- [i2]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
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR abs/2301.09617 (2023) - 2022
- [c1]Daniel Reisenbüchler
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. MICCAI (2) 2022: 377-386 - [i1]Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction. CoRR abs/2205.06672 (2022)
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last updated on 2024-11-07 20:31 CET by the dblp team
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