| GPT-4 for information retrieval and comparison of medical oncology guidelines D Ferber, IC Wiest, G Wölflein, MP Ebert, G Beutel, JN Eckardt, D Truhn, ... Nejm Ai 1 (6), AIcs2300235, 2024 | 34 | 2024 |
| In-context learning enables multimodal large language models to classify cancer pathology images D Ferber, G Wölflein, IC Wiest, M Ligero, S Sainath, N Ghaffari Laleh, ... Nature Communications 15 (1), 10104, 2024 | 21 | 2024 |
| Determining chess game state from an image G Wölflein, O Arandjelović Journal of Imaging 7 (6), 94, 2021 | 21 | 2021 |
| Autonomous artificial intelligence agents for clinical decision making in oncology D Ferber, OSM El Nahhas, G Wölflein, IC Wiest, J Clusmann, ME Leßman, ... arXiv preprint arXiv:2404.04667, 2024 | 17 | 2024 |
| From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology OSM El Nahhas, M van Treeck, G Wölflein, M Unger, M Ligero, T Lenz, ... Nature Protocols 20 (1), 293-316, 2025 | 16 | 2025 |
| HoechstGAN: Virtual Lymphocyte Staining Using Generative Adversarial Networks G Wölflein, IH Um, DJ Harrison, O Arandjelović Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 11 | 2023 |
| Use of high-plex data reveals novel insights into the tumour microenvironment of clear cell renal cell carcinoma R De Filippis, G Wölflein, IH Um, PD Caie, S Warren, A White, E Suen, ... Cancers 14 (21), 5387, 2022 | 8 | 2022 |
| A good feature extractor is all you need for weakly supervised learning in histopathology G Wölflein, D Ferber, AR Meneghetti, OSM El Nahhas, D Truhn, ... ECCV BioImage Computing Workshop, 2024 | 6 | 2024 |
| Benchmarking pathology feature extractors for whole slide image classification G Wölflein, D Ferber, AR Meneghetti, OSM El Nahhas, D Truhn, ... arXiv preprint arXiv:2311.11772v5, 2024 | 6 | 2024 |
| Dataset of rendered chess game state images G Wölflein, O Arandjelović The Center for Open Science, 2021 | 5 | 2021 |
| End-to-end clinical trial matching with large language models D Ferber, L Hilgers, IC Wiest, ME Leßmann, J Clusmann, P Neidlinger, ... arXiv preprint arXiv:2407.13463, 2024 | 4 | 2024 |
| Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology OSM El Nahhas, G Wölflein, M Ligero, T Lenz, M van Treeck, F Khader, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 2 | 2024 |
| Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning T Lenz, P Neidlinger, M Ligero, G Wölflein, M van Treeck, JN Kather arXiv preprint arXiv:2411.13623, 2024 | 1 | 2024 |
| Deep Multiple Instance Learning with Distance-Aware Self-Attention G Wölflein, LC Magister, P Liò, DJ Harrison, O Arandjelović arXiv preprint arXiv:2305.10552, 2023 | 1 | 2023 |
| Whole-slide images and patches of clear cell renal cell carcinoma tissue sections counterstained with hoechst 33342, cd3, and cd8 using multiple immunofluorescence G Wölflein, IH Um, DJ Harrison, O Arandjelović Data 8 (2), 40, 2023 | 1 | 2023 |
| LLM Agents Making Agent Tools G Wölflein, D Ferber, D Truhn, O Arandjelović, JN Kather arXiv preprint arXiv:2502.11705, 2025 | | 2025 |
| Abnormality-Driven Representation Learning for Radiology Imaging M Ligero, T Lenz, G Wölflein, OSM El Nahhas, D Truhn, JN Kather arXiv preprint arXiv:2411.16803, 2024 | | 2024 |
Jakob Nikolas Kather, MD, MScElse Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, Germanyכתובת אימייל מאומתת בדומיין tu-dresden.de