Noise transfer for unsupervised domain adaptation of retinal OCT images V Koch, O Holmberg, H Spitzer, J Schiefelbein, B Asani, M Hafner, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
Low-resource finetuning of foundation models beats state-of-the-art in histopathology B Roth, V Koch, SJ Wagner, JA Schnabel, C Marr, T Peng 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 11 | 2024 |
Generating highly accurate pathology reports from gigapixel whole slide images with HistoGPT M Tran, P Schmidle, SJ Wagner, V Koch, V Lupperger, A Feuchtinger, ... medRxiv, 2024.03. 15.24304211, 2024 | 7 | 2024 |
Histopathology-based deep-learning predicts atherosclerotic lesions in intravascular imaging O Holmberg, T Lenz, V Koch, A Alyagoob, L Utsch, A Rank, E Sabic, ... Frontiers in cardiovascular medicine, 1810, 2021 | 6 | 2021 |
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology V Koch, SJ Wagner, S Kazeminia, E Sancar, M Hehr, JA Schnabel, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 3 | 2024 |
CellPilot: A unified approach to automatic and interactive segmentation in histopathology P Endres, V Koch, JA Schnabel, C Marr arXiv preprint arXiv:2411.15514, 2024 | | 2024 |
UNICORN: A Deep Learning Model for Integrating Multi-Stain Data in Histopathology V Koch, S Bauer, V Luppberger, M Joner, H Schunkert, JA Schnabel, ... arXiv preprint arXiv:2409.17775, 2024 | | 2024 |
Can artificial intelligence help Heart Teams make decisions? V Koch Eurointervention: Journal of Europcr in Collaboration with the Working Group …, 2024 | | 2024 |
DeepNeo: Deep Learning for neointimal tissue characterization using optical coherence tomography V Koch, O Holmberg, E Blum, E Sancar, A Aytekin, M Seguchi, E Xhepa, ... medRxiv, 2024.06. 14.23300272, 2024 | | 2024 |