Georg Wölflein

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Image Classification

Weakly Supervised Learning

Multiple Instance

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. WACV (2023)
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 (2023)
Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR (2023)
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) (2023)
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 (2023)
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks. CoRR (2022)
Georg Wölflein, Ognjen Arandjelovic
Determining Chess Game State From an Image. CoRR (2021)
Georg Wölflein, Ognjen Arandjelovic
Determining Chess Game State from an Image. J. Imaging 7 (6) (2021)