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Georg Wölflein
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2020 – today
- 2024
- [c2]Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather:
Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology. MICCAI (4) 2024: 254-262 - [i11]Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather:
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology. CoRR abs/2403.03891 (2024) - [i10]Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, Omar S. M. El Nahhas, Gustav Müller-Franzes, Dirk Jäger, Daniel Truhn, Jakob Nikolas Kather:
In-context learning enables multimodal large language models to classify cancer pathology images. CoRR abs/2403.07407 (2024) - [i9]Dyke Ferber, Omar S. M. El Nahhas, Georg Wölflein, Isabella C. Wiest, Jan Clusmann, Marie-Elisabeth Leßman, Sebastian Foersch, Jacqueline Lammert, Maximilian Tschochohei, Dirk Jäger, Manuel Salto-Tellez, Nikolaus Schultz, Daniel Truhn, Jakob Nikolas Kather:
Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology. CoRR abs/2404.04667 (2024) - [i8]Dyke Ferber, Lars Hilgers, Isabella C. Wiest, Marie-Elisabeth Leßmann, Jan Clusmann, Peter Neidlinger, Jiefu Zhu, Georg Wölflein, Jacqueline Lammert, Maximilian Tschochohei, Heiko Böhme, Dirk Jäger, Mihaela Aldea, Daniel Truhn, Christiane Höper, Jakob Nikolas Kather:
End-To-End Clinical Trial Matching with Large Language Models. CoRR abs/2407.13463 (2024) - [i7]Tim Lenz, Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather:
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning. CoRR abs/2411.13623 (2024) - [i6]Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather:
Abnormality-Driven Representation Learning for Radiology Imaging. CoRR abs/2411.16803 (2024) - 2023
- [j2]Georg Wölflein
, In Hwa Um
, David J. Harrison
, Ognjen Arandjelovic
:
Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence. Data 8(2): 40 (2023) - [c1]Georg Wölflein
, In Hwa Um
, David J. Harrison
, Ognjen Arandjelovic
:
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. WACV 2023: 4986-4996 - [i5]Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic:
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR abs/2305.10552 (2023) - [i4]Georg Wölflein, Dyke Ferber, Asier Rabasco Meneghetti
, Omar S. M. El Nahhas, Daniel Truhn, Zunamys I. Carrero, David J. Harrison, Ognjen Arandjelovic, Jakob Nikolas Kather:
A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology. CoRR abs/2311.11772 (2023) - [i3]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
- [i2]Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic:
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. CoRR abs/2210.06909 (2022) - 2021
- [j1]Georg Wölflein
, Ognjen Arandjelovic
:
Determining Chess Game State from an Image. J. Imaging 7(6): 94 (2021) - [i1]Georg Wölflein, Ognjen Arandjelovic:
Determining Chess Game State From an Image. CoRR abs/2104.14963 (2021)
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