| X-ray-transform invariant anatomical landmark detection for pelvic trauma surgery B Bier*, M Unberath*, JN Zaech, J Fotouhi, M Armand, G Osgood, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 78 | 2018 |
| Deepdrr–a catalyst for machine learning in fluoroscopy-guided procedures M Unberath*, JN Zaech*, SC Lee, B Bier, J Fotouhi, M Armand, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 62 | 2018 |
| Enabling machine learning in X-ray-based procedures via realistic simulation of image formation M Unberath*, JN Zaech*, C Gao*, B Bier, F Goldmann, SC Lee, J Fotouhi, ... International journal of computer assisted radiology and surgery, 1-12, 2019 | 34 | 2019 |
| Semantic understanding of foggy scenes with purely synthetic data M Hahner, D Dai, C Sakaridis, JN Zaech, L Van Gool 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3675-3681, 2019 | 33 | 2019 |
| Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views B Bier, F Goldmann, JN Zaech, J Fotouhi, R Hegeman, R Grupp, ... International journal of computer assisted radiology and surgery 14 (9 …, 2019 | 23 | 2019 |
| Learning to avoid poor images: Towards task-aware C-arm cone-beam CT trajectories JN Zaech, C Gao, B Bier, R Taylor, A Maier, N Navab, M Unberath International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 16 | 2019 |
| A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance M Thies*, JN Zäch*, C Gao, R Taylor, N Navab, A Maier, M Unberath International Journal of Computer Assisted Radiology and Surgery, 1-10, 2020 | 14 | 2020 |
| Learnable online graph representations for 3d multi-object tracking JN Zaech, A Liniger, D Dai, M Danelljan, L Van Gool IEEE Robotics and Automation Letters 7 (2), 5103-5110, 2022 | 10 | 2022 |
| Action sequence predictions of vehicles in urban environments using map and social context JN Zaech, D Dai, A Liniger, L Van Gool 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 8 | 2020 |
| Texture underfitting for domain adaptation JN Zaech, D Dai, M Hahner, L Van Gool 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 547-552, 2019 | 7 | 2019 |
| Decoder fusion rnn: Context and interaction aware decoders for trajectory prediction EM Rella, JN Zaech, A Liniger, L Van Gool 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 5 | 2021 |
| Task-specific trajectory optimisation for twin-robotic x-ray tomography G Herl, J Hiller, M Thies, JN Zaech, M Unberath, A Maier IEEE Transactions on Computational Imaging 7, 894-907, 2021 | 4 | 2021 |
| Unsupervised Robust Domain Adaptation without Source Data P Agarwal, DP Paudel, JN Zaech, L Van Gool Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 3 | 2022 |
| Approximate message passing for indoor THz channel estimation V Schram, A Bereyhi, JN Zaech, RR Müller, WH Gerstacker arXiv preprint arXiv:1907.05126, 2019 | 3 | 2019 |
| Unsupervised robust domain adaptation without source data P Agarwal, DP Paudel, JN Zaech, L Van Gool arXiv preprint arXiv:2103.14577, 2021 | 2 | 2021 |
| Adiabatic Quantum Computing for Multi Object Tracking JN Zaech, A Liniger, M Danelljan, D Dai, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1 | 2022 |
| Learning to Avoid Poor Images JN Zaech, C Gao, B Bier, R Taylor, A Maier, N Navab, M Unberath Bildverarbeitung für die Medizin 2020, 185-185, 2020 | | 2020 |
Mathias UnberathJohns Hopkins UniversityVahvistettu sähköpostiosoite verkkotunnuksessa jhu.edu
