- Robotic CBCT meets robotic ultrasound. International Journal of Computer Assisted Radiology and Surgery 20 (6), 2025, 1049-1057 more…
- Synomaly noise and multi-stage diffusion: A novel approach for unsupervised anomaly detection in medical images. Medical Image Analysis, 2025, 103737 more…
- Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation. IEEE Robotics and Automation Letters 10 (4), 2025, 3078-3085 more…
- 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…
- Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound. IEEE Transactions on Instrumentation and Measurement 73, 2024, 1-11 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…
- 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
Boltzmannstr. 3
85748 Garching b. München
- Phone:
- Room: 5613.03.053
- Homepage
- yuan.bi@tum.de
Research Interests
I am a Ph.D. student at the Chair for Computer Aided Medical Procedures & Augmented Reality (CAMP), Technical University of Munich, under the supervision of Prof. Nassir Navab. My research lies at the intersection of medical robotics and artificial intelligence, with a particular focus on robotic ultrasound imaging. I work on integrating robotic control, medical image analysis, and machine learning to develop intelligent and autonomous ultrasound systems. My interests include anatomy-aware ultrasound navigation, reinforcement learning for robotic control, unsupervised anomaly detection, and sim-to-real transfer for medical imaging.
My fields of interest include:
- Robotic Ultrasound
- Robot Learning
- Ultrasound Image Analysis
Curriculum Vitae
- Sep. 2021 - Now: Ph.D. student at CAMP, TUM.
- Sep. 2018 - Sep. 2021: Master in Robotics, Cognition, Intelligence at TUM.
- Sep. 2014 - Sep. 2018: Bachelor in Mechatronics at Tongji University, Shanghai, China.
Awards
- Best Paper Runner Up of MICCAI 2023. (3 out of 2253 submissions)
- 2024 Chinese Government Award for Outstanding Self-financed Students Abroad
News
- 14 July (2025): 1 paper accepted by Medical Image Analysis
- 10 July (2025): 2024 Chinese Government Award for Outstanding Self-financed Students Abroad
- 17 Jun (2025): 2 papers accepted by MICCAI 2025, Sep, Daejeon, Korea
- 27 Feb (2025): Invited speaker at ORSI Surgical AI & Telesurgery Days, Ghent, Belgium
- 16 Jan (2025): 1 paper accepted by IEEE Robotics and Automation Letters
- Dec (2024): Student orgnizer of the 3rd Robotic-Assisted Medical Imaging workshop at ICRA2025, May, Atlanta, USA
- 06 Dec (2024): 1 paper early accepted by IPCAI 2025
- 20 Jun (2024): 1 paper accepted by IEEE Transactions on Instrumentation and Measurement
- 21 May (2024): 1 paper accepted by IEEE Transactions on Automation Science and Engineering
- 02 Jan (2024): 1 paper accepted by Annual Review of Control, Robotics, and Autonomous Systems
- Dec (2023): Student orgnizer of the 2nd Robotic-Assisted Medical Imaging workshop at ICRA2024, May, Yokohama, Japan
- 21 Nov (2023): 1 paper accepted by The International Journal of Robotics Research (IJRR)
- 11 Oct (2023): MICCAI 2023 "Best paper Runner up" award for "MI-SegNet" paper
- 23 Jun (2023): 1 paper accepted by MICCAI2023
- 21 Jun (2023): 1 paper accepted by IROS2023
- 09 May (2023): 1 paper accepted by IEEE Robotics and Automation Letters
- 08 Aug (2022): 1 paper accepted by IEEE Transactions on Instrumentation and Measurement
- 18 Apr (2022): 1 paper directly accepted by IEEE Robotics and Automation Letters (presented at IROS2022)
- 30 Jun (2021): 1 paper accepted IEEE Robotics and Automation Letters (presented at IROS2021)
- 01 Sep (2021): Join CAMP
Student Projects
If you are looking for an IDP, guided research, Bachelor or Master thesis in the field of robot learning or medical image understanding, feel free to contact us.
| Year | Type | Title | Student | Status |
|---|---|---|---|---|
| 2025 | Master Thesis | Systematic Auditing of Machine Unlearning for Large Language Models | Yueqi Zhang | Submitted to a conference |
| 2025 | Master Thesis | Surrogate modeling for Single Neurons | Qilin Chen | Finished |
| 2024 | Master Thesis | Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Ultrasound Imaging | Lucie Huang | Published in Medical Image Analysis |
| 2024 | Bachelor Thesis | Simultaneous Tracking and Segmentation of Carotid Plaques | Jason Mann | Finished |
| 2024 | Master Thesis | Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation | Yang Su | Published in IEEE RAL |
| 2023 | Guided Research | Autonomous path planning for intercostal robotic ultrasound imaging using reinforcement learning | Cheng Qian | Submitted to a conference |
| 2022 | Master Thesis | Two-Stage Deep Learning Framework for Plaque Segmentation in Carotid Ultrasound Images | Moustafa Elsharkawy | Finished |