Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation R Graf, J Schmitt, S Schlaeger, HK Möller, V Sideri-Lampretsa, ... European Radiology Experimental 7 (1), 70, 2023 | 3 | 2023 |
Panoptica--instance-wise evaluation of 3D semantic and instance segmentation maps F Kofler, H Möller, JA Buchner, E de la Rosa, I Ezhov, M Rosier, I Mekki, ... arXiv preprint arXiv:2312.02608, 2023 | 1 | 2023 |
SPINEPS--Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation H Möller, R Graf, J Schmitt, B Keinert, M Atad, A Sekuboyina, ... arXiv preprint arXiv:2402.16368, 2024 | | 2024 |
Modeling the acquisition shift between axial and sagittal MRI for diffusion superresolution to enable axial spine segmentation R Graf, H Möller, J McGinnis, S Rühling, M Weihrauch, M Atad, S Shit, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations R Graf, J Schmitt, S Schlaeger, HK Möller, V Sideri-Lampretsa, ... arXiv preprint arXiv:2308.09345, 2023 | | 2023 |