| 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 | 23 | 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 | 7 | 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 | 5 | 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 | 2 | 2023 |
| Don't You (Project Around Discs)? Neural Network Surrogate and Projected Gradient Descent for Calibrating an Intervertebral Disc Finite Element Model M Atad, G Gruber, M Ribeiro, LF Nicolini, R Graf, H Möller, K Nispel, ... arXiv preprint arXiv:2408.06067, 2024 | | 2024 |
| Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder M Atad, D Schinz, H Moeller, R Graf, B Wiestler, D Rueckert, N Navab, ... arXiv preprint arXiv:2408.01571, 2024 | | 2024 |
| GNNs for Knowledge Transfer in Robotic Assembly Sequence Planning M Atad TECHNISCHE UNIVERSITÄT MÜNCHEN, 2023 | | 2023 |
Jan KirschkeNeuroradiologe, Technische Universität MünchenПотвърден имейл адрес: tum.de
