| Determining chess game state from an image G Wölflein, O Arandjelović Journal of Imaging 7 (6), 94, 2021 | 11 | 2021 |
| 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 | 6 | 2022 |
| 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 | 5 | 2023 |
| Dataset of rendered chess game state images G Wölflein, O Arandjelović The Center for Open Science, 2021 | 5 | 2021 |
| In-context learning enables multimodal large language models to classify cancer pathology images D Ferber, G Wölflein, IC Wiest, M Ligero, S Sainath, NG Laleh, ... arXiv preprint arXiv:2403.07407, 2024 | 2 | 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 |
| 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 | | 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, ... arXiv preprint arXiv:2403.03891, 2024 | | 2024 |
| From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology OSM El Nahhas, M van Treeck, G Wölflein, M Unger, M Ligero, T Lenz, ... arXiv preprint arXiv:2312.10944, 2023 | | 2023 |
| 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, ... arXiv preprint arXiv:2311.11772, 2023 | | 2023 |
Oгњeн Аранђeлoвић / Ognjen Arandj...Reader (Professor) at University of St AndrewsVerified email at st-andrews.ac.uk
