| The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective M Unberath, C Gao, Y Hu, M Judish, RH Taylor, M Armand, R Grupp Frontiers in Robotics and AI 8, 716007, 2021 | 80 | 2021 |
| Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis C Gao, BD Killeen, Y Hu, RB Grupp, RH Taylor, M Armand, M Unberath Nature Machine Intelligence 5 (3), 294-308, 2023 | 77 | 2023 |
| SyntheX: Scaling up learning-based X-ray image analysis through in silico experiments C Gao, BD Killeen, Y Hu, RB Grupp, RH Taylor, M Armand, M Unberath arXiv preprint arXiv:2206.06127, 2022 | 7 | 2022 |
| Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis. Nat Mach Intell 5 (3): 294–308 C Gao, BD Killeen, Y Hu, RB Grupp, RH Taylor, M Armand, M Unberath | 5 | 2023 |
| Multi-stage Adaptive Spline Autofocus (MASA) with a learned metric for deformable motion compensation in interventional cone-beam CT H Huang, JH Siewerdsen, A Lu, Y Hu, W Zbijewski, M Unberath, ... Medical Imaging 2023: Physics of Medical Imaging 12463, 222-227, 2023 | 4 | 2023 |
| Deformable motion compensation for intraprocedural vascular cone-beam CT with sequential projection domain targeting and vessel-enhancing autofocus A Lu, H Huang, Y Hu, W Zbijewski, M Unberath, JH Siewerdsen, ... Proceedings of SPIE--the International Society for Optical Engineering 12466 …, 2023 | 2 | 2023 |
| Vessel-targeted compensation of deformable motion in interventional cone-beam CT A Lu, H Huang, Y Hu, W Zbijewski, M Unberath, JH Siewerdsen, ... Medical image analysis 97, 103254, 2024 | 1 | 2024 |
| Deformable registration of preoperative MR and intraoperative long-length tomosynthesis images for guidance of spine surgery via image synthesis Y Huang, X Zhang, Y Hu, AR Johnston, CK Jones, WB Zbijewski, ... Computerized Medical Imaging and Graphics 114, 102365, 2024 | 1 | 2024 |
| Probe positioning for robot-assisted intraoperative ultrasound imaging using deep reinforcement learning Y Hu, Y Huang, A Song, CK Jones, JH Siewerdsen, B Basar, PA Helm, ... Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and …, 2024 | 1 | 2024 |
| Simulation of random deformable motion in soft-tissue cone-beam CT with learned models Y Hu, H Huang, JH Siewerdsen, W Zbijewski, M Unberath, CR Weiss, ... 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | 1 | 2022 |
| Deformable motion compensation in interventional cone‐beam CT with a context‐aware learned autofocus metric H Huang, Y Liu, JH Siewerdsen, A Lu, Y Hu, W Zbijewski, M Unberath, ... Medical physics 51 (6), 4158-4180, 2024 | | 2024 |
