Segment anything for microscopy A Archit, L Freckmann, S Nair, N Khalid, P Hilt, V Rajashekar, M Freitag, ... Nature Methods, 1-13, 2025 | 59* | 2025 |
ViM-UNet: Vision Mamba for Biomedical Segmentation A Archit, C Pape Medical Imaging with Deep Learning (MIDL), 2024 | 12 | 2024 |
Probabilistic Domain Adaptation for Biomedical Image Segmentation A Archit, C Pape arXiv preprint arXiv:2303.11790, 2023 | 1 | 2023 |
Parameter Efficient Fine-Tuning of Segment Anything Model C Teuber, A Archit, C Pape arXiv preprint arXiv:2502.00418, 2025 | | 2025 |
Segment Anything for Histopathology T Griebel, A Archit, C Pape arXiv preprint arXiv:2502.00408, 2025 | | 2025 |
MedicoSAM: Towards foundation models for medical image segmentation A Archit, L Freckmann, C Pape arXiv preprint arXiv:2501.11734, 2025 | | 2025 |
SynapseNet: Deep Learning for Automatic Synapse Reconstruction S Muth, F Moschref, L Freckmann, S Mutschall, I Hojas-Garcia-Plaza, ... bioRxiv, 2024.12. 02.626387, 2024 | | 2024 |
Unsupervised Domain Adaptation for Semantic Segmentation of PET/CT Images J Mikolajczak, A Archit, AT Nguyen, C Pape, AC Hauschild Gesundheit–gemeinsam. Kooperationstagung der Deutschen Gesellschaft für …, 2024 | | 2024 |