| Cellvit: Vision transformers for precise cell segmentation and classification F Hörst, M Rempe, L Heine, C Seibold, J Keyl, G Baldini, S Ugurel, ... Medical Image Analysis 94, 103143, 2024 | 26 | 2024 |
| MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ... arXiv preprint arXiv:2308.16139, 2023 | 15 | 2023 |
| Histology-based prediction of therapy response to neoadjuvant chemotherapy for esophageal and esophagogastric junction adenocarcinomas using deep learning F Hörst, S Ting, ST Liffers, KL Pomykala, K Steiger, M Albertsmeier, ... JCO Clinical Cancer Informatics 7, e2300038, 2023 | 5 | 2023 |
| Valuing vicinity: Memory attention framework for context-based semantic segmentation in histopathology O Ester, F Hörst, C Seibold, J Keyl, S Ting, N Vasileiadis, J Schmitz, ... Computerized Medical Imaging and Graphics 107, 102238, 2023 | 3 | 2023 |
| Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images J Raufeisen, K Xie, F Hörst, T Braunschweig, J Li, J Kleesiek, R Röhrig, ... Computer Methods and Programs in Biomedicine 252, 108215, 2024 | | 2024 |
| Tumor likelihood estimation on MRI prostate data by utilizing k-Space information M Rempe, F Hörst, C Seibold, B Hadaschik, M Schlimbach, J Egger, ... arXiv preprint arXiv:2407.06165, 2024 | | 2024 |
| Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline F Hörst, SH Schaheer, G Baldini, FH Bahnsen, J Egger, J Kleesiek BVM Workshop, 356-361, 2024 | | 2024 |
| Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting L Heine, F Hörst, E Nasca, J Siveke, J Egger, M Kim, FH Bahnsen, ... | | 2024 |
