| Steganomaly: Inhibiting cyclegan steganography for unsupervised anomaly detection in brain mri C Baur, R Graf, B Wiestler, S Albarqouni, N Navab International conference on medical image computing and computer-assisted …, 2020 | 51 | 2020 |
| Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification Alessandro Wollek, Robert Graf, Saša Čečatka, Nicola Fink, Theresa Willem ... Radiology: Artifical Intelligence, e220187, 2023 | 16* | 2023 |
| Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation R Graf, J Schmitt, S Schlaeger, HK Möller, V Sideri-Lampretsa, ... arXiv preprint arXiv:2308.09345, 2023 | 6 | 2023 |
| The brain tumor segmentation (brats) challenge 2023: Local synthesis of healthy brain tissue via inpainting F Kofler, F Meissen, F Steinbauer, R Graf, E Oswald, E de da Rosa, HB Li, ... arXiv preprint arXiv:2305.08992, 2023 | 5 | 2023 |
| Single-subject multi-contrast MRI super-resolution via implicit neural representations J McGinnis, S Shit, HB Li, V Sideri-Lampretsa, R Graf, M Dannecker, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 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 | 2 | 2024 |
| 3D arterial segmentation via single 2D projections and depth supervision in contrast-enhanced CT images AF Dima, VA Zimmer, MJ Menten, HB Li, M Graf, T Lemke, P Raffler, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Multi-contrast MRI Super-resolution via Implicit Neural Representations. J McGinnis, S Shit, HB Li, V Sideri-Lampretsa, R Graf, M Dannecker, ... arXiv preprint, 2023 | 2 | 2023 |
| TotalVibeSegmentator: Full Torso Segmentation for the NAKO and UK Biobank in Volumetric Interpolated Breath-hold Examination Body Images R Graf, PS Platzek, EO Riedel, C Ramschütz, S Starck, HK Möller, M Atad, ... arXiv preprint arXiv:2406.00125, 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 |
| 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, 0 | | |
Bene WiestlerAI for Image-Guided Diagnosis and Therapy, TUM在 tum.de 的电子邮件经过验证
