Georg Wölflein

21 papers A* 1A 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Abnormality-Driven Representation Learning for Radiology Imaging.
MICCAI (4)
Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather
2025 — conf
LLM Agents Making Agent Tools.
ACL (1)
Georg Wölflein, Dyke Ferber, Daniel Truhn, Ognjen Arandjelovic, Jakob Nikolas Kather
2025 J jnl
LLM Agents Making Agent Tools.
CoRR
Georg Wölflein, Dyke Ferber, Daniel Truhn, Ognjen Arandjelovic, Jakob Nikolas Kather
2025 J jnl
Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directions.
Frontiers Digit. Health
Emilia Daghir-Wojtkowiak, Javier Antonio Alfaro, Michele Mastromattei, Aleksander Palkowski, Mark Stares, Ana Roca-Umbert, Andraz Krajnc, Riccardo Leoni, Anne Boland, Aria Nourbaksh, Ashwin Adrian Kallor, Camille Ducki, Davide Venditti, Carla Montesano, Chiara Cipriani, Daniel Faria, Delphine Pflieger, Elisa Zago, Etienne Bardet, Filipa Serrano, Florian Jeanneret, Damien Alouges, Liangwei Yin, Elodine Coquelet, Apolline Bacquet, Francesco Bonchi, Francesco Maiorino, Francesco Torino, Georges Bedran, Jean-Alexandre Long, Laura Balbi, Laurent Guyon, Liana Bevilacqua, Manuel Fiorelli, Marie-Catherine Wagner, Mario Reyes, Mario Roselli, Marta Contreiras Silva, Michal Waleron, Nikolas Dovrolis, Odile Filhol-Cochet, In Hwa Um, Georg Wölflein, Patrícia Eugénio, Pauline Bazelle, Pavlos Golnas, Peter Thorpe, Pierluigi Bove, Piyush Borole, Roberta Bernardini, Rohit Kumar, Rosella Cicconi, Saskia Kaltenbrunner, Saverio Gravina, Simona Brezar, Stefan Symeonides, Steven McGinn, Susana Nunes, Ted Hupp, Yuri G. Gordienko, Dimitrios Varvaras, Sergii G. Stirenko, Luciano Xumerle, Stefania Mariani, Assilah Bouzit, Stéphane Gazut, Heiko Poth, Kyriakos Souliotis, Hector Katifelis, Elena Verzoni, Giuseppe Procopio, Sarah Schoch, Francisco Lupiáñez-Villanueva, Sandra Türk, Katarzyna Barud, Dimitri Koroliouk, Juan Caubet, Yamir Moreno, Jean-Luc Descotes, Christina Golna, Valentina Guadalupi, Paolo Garagnani, Maria Gazouli, Jean-François Deleuze, Frans Folkvord, Nikolaus Forgó, David J. Harrison, Håkan Axelson, Armando Stellato, Maurizio Mattei, Ajitha Rajan, Alexander Laird, Christophe Battail, Catia Pesquita, Fabio Massimo Zanzotto
2025 A* conf
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.
CVPR
Tim Lenz, Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather
2024 — conf
A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification.
ECCV Workshops (16)
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
2024 J jnl
Abnormality-Driven Representation Learning for Radiology Imaging.
CoRR
Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather
2024 J jnl
Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology.
CoRR
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
2024 J jnl
End-To-End Clinical Trial Matching with Large Language Models.
CoRR
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
2024 J jnl
In-context learning enables multimodal large language models to classify cancer pathology images.
CoRR
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
2024 — conf
Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology.
MICCAI (4)
Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather
2024 J jnl
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology.
CoRR
Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather
2024 J jnl
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning.
CoRR
Tim Lenz, Peter Neidlinger, Marta Ligero, Georg Wölflein, Marko van Treeck, Jakob Nikolas Kather
2023 J jnl
A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology.
CoRR
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
2023 J jnl
Deep Multiple Instance Learning with Distance-Aware Self-Attention.
CoRR
Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic
2023 J jnl
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology.
CoRR
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
2023 A conf
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks.
WACV
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
2023 J jnl
Whole-Slide Images and Patches of Clear Cell Renal Cell Carcinoma Tissue Sections Counterstained with Hoechst 33342, CD3, and CD8 Using Multiple Immunofluorescence.
Data
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
2022 J jnl
HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks.
CoRR
Georg Wölflein, In Hwa Um, David J. Harrison, Ognjen Arandjelovic
2021 J jnl
Determining Chess Game State From an Image.
CoRR
Georg Wölflein, Ognjen Arandjelovic
2021 J jnl
Determining Chess Game State from an Image.
J. Imaging
Georg Wölflein, Ognjen Arandjelovic