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ORCIDSophia J. Wagner
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2020 – today
- 2024
[j2]Jan Moritz Niehues
, Gustav Müller-Franzes, Yoni Schirris, Sophia J. Wagner, Michael Jendrusch, Matthias Kloor, Alexander T. Pearson, Hannah Sophie Muti, Katherine Jane Hewitt, Gregory Patrick Veldhuizen, Laura Zigutyte, Daniel Truhn, Jakob Nikolas Kather:
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. Comput. Biol. Medicine 175: 108410 (2024)- [c7]Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng:
Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology. ISBI 2024: 1-5 - [c6]Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr:
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. MICCAI (12) 2024: 520-530 - [i11]Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng:
Low-resource finetuning of foundation models beats state-of-the-art in histopathology. CoRR abs/2401.04720 (2024) - [i10]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) - [i9]Valentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr:
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology. CoRR abs/2404.05022 (2024) - [i8]Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood:
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis. CoRR abs/2406.16192 (2024) - 2023
- [c5]Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud:
Approaching Peak Ground Truth. ISBI 2023: 1-6 - [c4]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 - [i7]Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail I. Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Ertürk, Daniel Rueckert, Rolf A. Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze, Marie Piraud:
Approaching Peak Ground Truth. CoRR abs/2301.00243 (2023) - [i6]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) - [i5]Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine Jane Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather:
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology. CoRR abs/2312.10944 (2023) - 2022
- [j1]Ye Liu, Sophia J. Wagner, Tingying Peng:
Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation. J. Imaging 8(3): 71 (2022) - [c3]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 - [c2]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 - [i4]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) - [i3]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
- [c1]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 - [i2]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) - [i1]Ye Liu, Sophia J. Wagner, Tingying Peng:
Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation. CoRR abs/2111.12138 (2021)
Coauthor Index
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last updated on 2024-10-31 21:11 CET by the dblp team
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