- Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment. arXiv preprint arXiv:2602.12917, 2026 mehr…
- Comparative Study of Ultrasound Shape Completion and CBCT-Based AR Workflows for Spinal Needle Interventions. arXiv preprint arXiv:2602.12920, 2026 mehr…
- Robotic CBCT meets robotic ultrasound. International Journal of Computer Assisted Radiology and Surgery 20 (6), 2025, 1049--1057 mehr…
- Rethinking data imbalance in class incremental surgical instrument segmentation. Medical Image Analysis 105, 2025, 103728 mehr…
- Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2025 mehr…
- Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025 mehr…
- Semantic Graph Based Place Recognition for 3D Point Clouds. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2020 mehr…
Feng Li
Feng Li
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Postal address
Boltzmannstr. 3
85748 Garching b. München
- Phone: -
- Homepage
- E-mail: feng.li@tum.de
Research Interests
- Multimodal Image Fusion & Deformation Modeling: Fusing intraoperative Ultrasound (US) with Cone Beam Computed Tomography (CBCT) by capturing real-time tissue deformation fields from US and transferring them to CBCT.
- Imitation Learning for Surgical Robotics: Developing control policies for dual-arm robotic systems to assist in ultrasound-guided interventions.
- Advanced Human-Robot Interaction (HRI): Leveraging Extended Reality (XR) to create intuitive guidance and control interfaces for robotic ultrasound systems.
Video Gallery
Welcome to the Video Gallery. This section features system demonstrations and experimental results from my previous research, focusing on the intersection of medical robotics, multi-modality imaging, and intelligent clinical workflows.
Here, you can explore videos showcasing:
- 1. Robotic CBCT Meets Robotic Ultrasound: Integration and coordination of dual robotic imaging systems.
- 2. Intelligent Virtual Sonographer (IVS): Enhancing physician-robot-patient communication through AI-driven interaction.
- 3. Ultrasound-Guided Real-Time Spinal Motion Visualization: Dynamic tracking techniques for clinical spinal instability assessment.
- 4. Advanced Navigation for Spinal Interventions: A comparative study of Ultrasound Shape Completion and CBCT-based Augmented Reality (AR) workflows.
Student Projects
If you are looking for an IDP, guided research, or a master's thesis around these topics, please get in touch with me.
Topic 1: Multi-modality Image Fusion and Visualization of CBCT/CT, X-ray, and Robotic Ultrasound。
Topic 2: Deep Learning-based Cross-modality Deformation Field Generation.
Topic 3: Semantic-aware and Stiffness-informed Dynamic CBCT Visualization.
Topic 4: Dual-arm Imitation Learning for Ultrasound-guided Robotic Interventions.
Topic 5: Integrating Visual-Language-Action (VLA) Models into Dual-arm Robots for Healthcare.
| Year | Type | Topic | By | Status |
|---|---|---|---|---|
| 2025 | Master's Thesis | Deformation-Aware CBCT Updating Using Robotic Ultrasound | Z. Li | Submitted |
| 2026 | Guided research | Dual-Arm Robotic Ultrasound-Guided Interventions | S. Wang, P. Liu | Submitted |
Curriculum Vitae
- 09/2017 - 06/2020: Master's in Guangdong University of Technology at control engineering
- 10/2019 - 01/2020: Visitor at Southern Illinois University Carbondale in mathematics
- 07/2020 - 10/2021: Software engineer at Huawei Technologies Co., Ltd.
- 11/2021 - current: Ph.D. student at CAMP, TUM