- Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging. IEEE Transactions on Automation Science and Engineering, 2024, 1-13 more…
- Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives. Annual Review of Control, Robotics, and Autonomous Systems 7 (1), 2024, 335-357 more…
- Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives. Annual Review of Control, Robotics, and Autonomous Systems 7 (1), 2024 more…
- Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. The International Journal of Robotics Research, 2024 more…
- Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. The International Journal of Robotics Research 43 (7), 2024, 981-1002 more…
- Skeleton Graph-Based Ultrasound-CT Non-Rigid Registration. IEEE Robotics and Automation Letters 8 (8), 2023, 4394-4401 more…
- MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 more…
- MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization. In: MICCAI. Springer Nature Switzerland, 2023 more…
- Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2023 more…
- Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2023 more…
- Precise Repositioning of Robotic Ultrasound: Improving Registration-Based Motion Compensation Using Ultrasound Confidence Optimization. IEEE Transactions on Instrumentation and Measurement 71, 2022, 1-11 more…
- VesNet-RL: Simulation-Based Reinforcement Learning for Real-World US Probe Navigation. IEEE Robotics and Automation Letters 7 (3), 2022, 6638-6645 more…
- Deformation-Aware Robotic 3D Ultrasound. IEEE Robotics and Automation Letters 6 (4), 2021, 7675-7682 more…
Yuan Bi
M.Sc. Yuan Bi
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
Research Interests
My name is Yuan Bi, a thrid-year Ph.D. student at the CAMP chair. I'm doing research in robotic ultrasound, focusing on clinical applications, e.g., carotid artery screening and US-guided liver ablations. My fields of interest lies in:
- Robotic Ultrasound
- Reinforcement Learning
- Learning from Demonstrations
- Ultrasound Image Analysis
Curriculum Vitae
- Sep. 2014 - Sep. 2018: Bachelor in Mechatronics at Tongji University, Shanghai, China.
- Sep. 2018 - Sep. 2021: Master in Robotics, Cognition, Intelligence at TUM.
- Sep. 2021 - Now: Ph.D. student at CAMP, TUM.
Publications
Student Projects
Offering:
Deep learning-based carotid plaque segmentation from ultrasound images.
Ultrasound-guided needle insertion.
Learning from demonstration using inverse reinforcement learning.