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Conference and Workshop Papers
- 2023
[c5]Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng:
B-Cos Aligned Transformers Learn Human-Interpretable Features. MICCAI (8) 2023: 514-524- 2022
- [c4]Manuel Tran
, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning. MICCAI (2) 2022: 99-108 - [c3]Daniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
Local Attention Graph-Based Transformer for Multi-target Genetic Alteration Prediction. MICCAI (2) 2022: 377-386 - 2021
- [c2]Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng:
Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled Representations. MICCAI (8) 2021: 257-266 - 2019
- [c1]Tingying Peng, Melanie Boxberg, Wilko Weichert, Nassir Navab, Carsten Marr:
Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval. MICCAI (1) 2019: 676-684
Informal and Other Publications
- 2024
- [i5]Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng:
B-Cos Aligned Transformers Learn Human-Interpretable Features. CoRR abs/2401.08868 (2024) - 2023
- [i4]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:
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR abs/2301.09617 (2023) - 2022
- [i3]Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng:
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning. CoRR abs/2203.07307 (2022) - [i2]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) - 2021
- [i1]Sophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng:
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations. CoRR abs/2107.12357 (2021)
Coauthor Index
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