| 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 | 83 | 2024 |
| MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik, 2024 | 26 | 2024 |
| k-strip: A novel segmentation algorithm in k-space for the application of skull stripping M Rempe, F Mentzel, KL Pomykala, J Haubold, F Nensa, K Kröninger, ... Computer Methods and Programs in Biomedicine 243, 107912, 2024 | 13 | 2024 |
| CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation Models F Hörst, M Rempe, H Becker, L Heine, J Keyl, J Kleesiek arXiv preprint arXiv:2501.05269, 2025 | | 2025 |
| De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy M Rempe, L Heine, C Seibold, F Hörst, J Kleesiek arXiv preprint arXiv:2410.12402, 2024 | | 2024 |
| PS01. 16 COMPLEX-VALUED DEEP NEURAL NETWORKS FOR BRAIN TUMOR CHARACTERIZATION IN MRI K-SPACE DATA JM Schlimbach, J Kleesiek, K Kröninger, M Rempe, J Weingarten Physica Medica 125, 104018, 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 |
Jens KleesiekInstitute for AI in Medicine (IKIM), University Hospital EssenVerified email at uni-due.de