| Panoramic panoptic segmentation: Towards complete surrounding understanding via unsupervised contrastive learning A Jaus, K Yang, R Stiefelhagen 2021 IEEE Intelligent Vehicles Symposium (IV), 1421-1427, 2021 | 37 | 2021 |
| MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik, 2024 | 26 | 2024 |
| Panoramic panoptic segmentation: Insights into surrounding parsing for mobile agents via unsupervised contrastive learning A Jaus, K Yang, R Stiefelhagen IEEE Transactions on Intelligent Transportation Systems 24 (4), 4438-4453, 2023 | 19 | 2023 |
| Towards unifying anatomy segmentation: automated generation of a full-body CT dataset via knowledge aggregation and anatomical guidelines A Jaus, C Seibold, K Hermann, A Walter, K Giske, J Haubold, J Kleesiek, ... arXiv preprint arXiv:2307.13375, 2023 | 13 | 2023 |
| Accurate fine-grained segmentation of human anatomy in radiographs via volumetric pseudo-labeling C Seibold, A Jaus, MA Fink, M Kim, S Reiß, K Herrmann, J Kleesiek, ... arXiv preprint arXiv:2306.03934, 2023 | 13 | 2023 |
| Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations D Schneider, S Reiß, M Kugler, A Jaus, K Peng, S Sutschet, MS Sarfraz, ... The Thirty-eight Conference on Neural Information Processing Systems …, 2024 | 2 | 2024 |
| Anatomy-guided Pathology Segmentation A Jaus, C Seibold, S Reiß, L Heine, A Schily, M Kim, FH Bahnsen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
| Filters, Thresholds, and Geodesic Distances for Scribble-based Interactive Segmentation of Medical Images Z Marinov, A Jaus, J Kleesiek, R Stiefelhagen CVPR 2024: Segment Anything In Medical Images On Laptop, 2024 | 1 | 2024 |
| Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset A Jaus, C Seibold, K Hermann, N Shahamiri, A Walter, K Giske, ... 2024 IEEE International Conference on Image Processing (ICIP), 41-47, 2024 | | 2024 |
| Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks A Jaus, C Seibold, S Reiß, Z Marinov, K Li, Z Ye, S Krieg, J Kleesiek, ... arXiv preprint arXiv:2410.18684, 2024 | | 2024 |
| LIMIS: Towards Language-based Interactive Medical Image Segmentation L Heinemann, A Jaus, Z Marinov, M Kim, MF Spadea, J Kleesiek, ... arXiv preprint arXiv:2410.16939, 2024 | | 2024 |
| Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation? A Jaus, S Reiß, J Klesiek, R Stiefelhagen arXiv preprint arXiv:2409.13548, 2024 | | 2024 |
| FootCapture: Towards an AR-based System for 3D Foot Object Acquisition through Photogrammetry V Khan-Blouki, F Seiz, N Walter, A Jaus, Z Marinov, G Luijten, J Egger, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images Z Marinov, A Jaus, J Kleesiek, R Stiefelhagen CVPR 2024: Segment Anything In Medical Images On Laptop, 0 | | |
Rainer StiefelhagenKarlsruhe Institute of Technology, Karlsruhe, GermanyVerifierad e-postadress på kit.edu