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MA Longfei

Assistant Researcher

E-mail: malongfei@tsinghua.edu.cn

WeChat Public Account:+86-10-62795002

  • Resume

  • Research Fields and Major Achievements

  • Representative Publications

Ma Longfei advances precision medicine through image-guided minimally invasive diagnosis and treatment; he obtained his Doctor of Philosophy (PhD) in Biomedical Engineering from Tsinghua University in July 2018 and conducted postdoctoral research at the School of Medicine, Tsinghua University from July 2018 to July 2020. Having long been engaged in research on key scientific issues in image-guided minimally invasive diagnosis and treatment, he is committed to establishing and promoting an augmented reality (AR) display, interaction, and surgical navigation model to address precision diagnosis and treatment challenges in clinical surgery. He has conducted innovative explorations in medical image processing, AR-based surgical navigation, and precise control and positioning of surgical instruments, proposed a precise surgical guidance scheme based on novel stereoscopic imaging, and achieved innovative research results in robotic navigation and servo control. He has published over 20 academic papers in international journals such as IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Visualization and Computer Graphics (TVCG), IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Mechatronics (TMech), Physics in Medicine & Biology (PMB), International Journal of Computer Assisted Radiology and Surgery (IJCARS), and International Journal of Medical Robotics and Computer Assisted Surgery (IJMRCAS), including more than 10 SCI papers as first author or corresponding author, and has applied for and been authorized over 10 national patents. He has presided over 5 national-level projects, including Key R&D Program projects and National Natural Science Foundation of China (NSFC) Youth Fund Projects, and participated as a core member in multiple technological research projects such as Major Instrument Projects of the NSFC and Key R&D Programs of the Ministry of Science and Technology. His academic and social positions include Member of the Organizing Committee of the 19th Asian Congress on Computer Assisted Surgery (ACCAS), Member of the 2nd Committee of the Digital Intelligence Health Branch of the Chinese Geriatric Health Care Medical Research Association, Member of the Optical Display Professional Committee of the Chinese Optical Society, and Member cum Deputy Secretary-General of the 3D Imaging and Display Professional Committee of the Chinese Society of Image and Graphics. 

Dr. Ma Longfei has long focused on research in image-guided minimally invasive diagnosis and treatment, stereoscopic augmented reality (AR) surgical navigation, and 3D medical image processing, ensuring the safety and accuracy of minimally invasive diagnosis and treatment. His specific research directions include:

Augmented reality (AR) visualization, interaction, and navigation

Intelligent medical image processing and scene perception

Image-guided and intelligent control of surgical robots

1. H. G. Khor#, X. Yang#, Y. Sun, S. Huang, Y. Wang, J. Wang, S. Wang, L. Bai, L. Ma*, H. Liao*: RT-SAM: Visual-Prompt Fusion and Uncertainty Enhancement for Nasopharyngeal Carcinoma Radiotherapy Target Delineation, IEEE Journal of Biomedical and Health Informatics, 2026: 1-14. (DOI: 10.1109/JBHI.2026.3669979)

2. R. Li#, B. Jie#, B. Han, Y. Zheng, C. Wang, X. Yang, Y. Zhang, H. Liao, Y. He*, L. Ma*: A Point Cloud Generation Network for Automatic Prediction of Postoperative Maxillofacial Soft Tissue, Annals of Biomedical Engineering, 2025, 53: 1975-1985. (DOI: 10.1007/s10439-025-03758-3)

3. C. Liu#, L. Ma#, Y. Zhang, Y. Dong*, X. Bao*: Research on Registration Strategy for Guided Endodontics, Journal of Endodontics, 2026, 52(3): 429-435. (DOI: 10.1016/j.joen.2025.10.017)

4. J. Liu#, L. Ma#, C. Hu, J. Kang, B. Zhang, R. Li, H. Liao*: A Soft Actuator Based Robot-assisted Tracheal Intubation System, International Journal of Computer Assisted Radiology and Surgery, 2024, 19: 1495-1504. (DOI: 10.1007/s11548-024-03209-9)

5. L. Ma#, T. Huang#, J. Wang and H. Liao*: Visualization, Registration and Tracking Techniques for Augmented Reality Guided Surgery: A Review, Physics in Medicine and Biology, 2023, 68(4): 04TR02. (DOI: 10.1088/1361-6560/acaf23)

6. C. Liu#, L. Ma#, Y. Dong*, X. Bao*: Evaluation of an Intraoral Scan-assisted Registration Method for Guided Endodontics: An In Vitro Study, BMC Oral Health, 2026, 26(1): 165. (DOI: 10.1186/s12903-025-07551-5)

7. L. Ma#, R. Wang#, Q. He, L. Huang, X. Wei, X. Lu, Y. Du, J. Luo* and H. Liao*: AI-based Ultrasound Imaging for Hepatic Diseases: A Review, iLiver, 2022, 1(4): 252-264. (DOI: 10.1016/j.iliver.2022.11.001)

8. L. Ma#, H. Liang#, B. Han, S. Yang, X. Zhang, H. Liao*: Augmented Reality Navigation with Ultrasound-assisted Point Cloud Registration for Percutaneous Ablation of Liver Tumors, International Journal of Computer Assisted Radiology and Surgery, 2022, 17: 1543–1552. (DOI: 10.1007/s11548-022-02671-7)

9. L. Ma#, W. Jiang#, B. Zhang, X. Qu, G. Ning, X. Zhang, H. Liao*: Augmented Reality Surgical Navigation with Accurate CBCT-Patient Registration for Dental Implant Placement, Medical & Biological Engineering & Computing, 2019, 57(1): 47-57. (DOI: 10.1007/s11517-018-1861-9)

10. R. Tang#, L. Ma#, Z. Rong, M. Li, J. Zeng, X. Wang, H. Liao*, J. Dong*: Augmented Reality Technology for Preoperative Planning and Intraoperative Navigation for Hepatobiliary Surgery: A Review of Current Methods, Hepatobiliary & Pancreatic Diseases International, 2018, 17: 101-112. (DOI: 10.1016/j.hbpd.2018.02.002)

11. L. Ma, Z. Fan, G. Ning, X. Zhang, H. Liao*: 3D Visualization and Augmented Reality for Orthopaedics, Intelligent Orthopaedics: Artificial Intelligence and Smart Image-guided Technology for Orthopaedics, 2018. (DOI：10.1007/978-981-13-1396-7_16)

12. L. Ma#, Z. Zhao#, B. Zhang, W. Jiang, L. Fu, X. Zhang, H. Liao*: Three-Dimensional Augmented Reality Surgical Navigation with Hybrid Optical and Electromagnetic Tracking for Distal Intramedullary Nail Interlocking, International Journal of Medical Robotics and Computer Assisted Surgery, 2018, 14(7): e1909. (DOI: 10.1002/rcs.1909)

13. L. Ma#, Z. Zhao#, F. Chen, B. Zhang, L. Fu, H. Liao*: Augmented Reality Surgical Navigation with Ultrasound-assisted Registration for Pedicle Screw Placement: A Pilot Study, International Journal of Computer Assisted Radiology and Surgery, 2017, 12(12): 2205-2215. (DOI:10.1007/s11548-017-1652-z)

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