| CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN M Atad, V Dmytrenko, Y Li, X Zhang, M Keicher, J Kirschke, B Wiestler, ... ICML 2022 Interpretable Machine Learning in Healthcare (IMLH) Workshop, 2022 | 14 | 2022 |
| Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading M Keicher, M Atad, D Schinz, AS Gersing, SC Foreman, SS Goller, ... Workshop on Interpretability of Machine Intelligence in Medical Image …, 2023 | 3 | 2023 |
| Efficient and Feasible Robotic Assembly Sequence Planning via Graph Representation Learning M Atad, J Feng, I Rodríguez, M Durner, R Triebel The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023 | 2 | 2023 |
| Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly J Feng, M Atad, I Rodríguez, M Durner, S Günnemann, R Triebel Workshop on Robotics and AI: The Future of Industrial Assembly Tasks …, 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 |
| GNNs for Knowledge Transfer in Robotic Assembly Sequence Planning M Atad TECHNISCHE UNIVERSITÄT MÜNCHEN, 2023 | | 2023 |
Jan KirschkeNeuroradiologe, Technische Universität MünchenBestätigte E-Mail-Adresse bei tum.de
