| ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports K Jeblick, B Schachtner, J Dexl, A Mittermeier, AT Stüber, J Topalis, ... European radiology 34 (5), 2817-2825, 2024 | 328* | 2024 |
| Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis T Weber, M Ingrisch, B Bischl, D Rügamer Pacific-Asia Conference on Knowledge Discovery and Data Mining, 180-191, 2023 | 11 | 2023 |
| Automated wildlife image classification: An active learning tool for ecological applications L Bothmann, L Wimmer, O Charrakh, T Weber, H Edelhoff, W Peters, ... Ecological Informatics, 2023 | 9 | 2023 |
| A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC AT Stüber, S Coors, B Schachtner, T Weber, D Rügamer, A Bender, ... Investigative radiology 58 (12), 874-881, 2023 | 6 | 2023 |
| Implicit embeddings via GAN inversion for high resolution chest radiographs T Weber, M Ingrisch, B Bischl, D Rügamer MICCAI Workshop on Medical Applications with Disentanglements, 22-32, 2022 | 5 | 2022 |
| Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction T Weber, M Ingrisch, B Bischl, D Rügamer IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024), 2024 | 2 | 2024 |
| Adversarial anomaly detection using gaussian priors and nonlinear anomaly scores F Lüer, T Weber, M Dolgich, C Böhm 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 550-559, 2023 | 2 | 2023 |
| Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings T Weber, M Ingrisch, B Bischl, D Rügamer arXiv preprint arXiv:2311.01349, 2023 | 1* | 2023 |
| Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation T Weber, M Ingrisch, B Bischl, D Rügamer NeurIPS 2021 Workshops, Deep Generative Models and Downstream Applications, 2021 | 1 | 2021 |
| Generalizing Orthogonalization for Models with Non-linearities D Rügamer, C Kolb, T Weber, L Kook, T Nagler arXiv preprint arXiv:2405.02475, 2024 | | 2024 |
| Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition T Weber, J Dexl, D Rügamer, M Ingrisch arXiv preprint arXiv:2404.09683, 2024 | | 2024 |
| Survival-oriented embeddings for improving accessibility to complex data structures T Weber, M Ingrisch, M Fabritius, B Bischl, D Rügamer NeurIPS 2021 Workshops, Bridging the Gap: From Machine Learning Research to …, 2021 | | 2021 |
Michael IngrischDepartment of Radiology, Ludwig-Maximilians-University Hospital Munich在 med.uni-muenchen.de 的电子邮件经过验证
