Faculty

Fang CHEN

Associate professor

Email : chen-fang@sjtu.edu.cn

Office address : 432B Wenxuan building (Minhang)

Biography

Fang Chen is a tenured Associate Professor of the School of Biomedical Engineering, Shanghai Jiao Tong University. She obtained her Ph.D. from Tsinghua University in 2018 and joined the Shanghai Jiao Tong University in early 2024. She is dedicated to interdisciplinary research in intelligent surgical navigation and precision diagnosis and treatment. In recent years, she has published over 70 papers in top-tier international academic journals and conferences in the field of biomedical engineering and medicine, including IEEE Trans. Med. Imaging, IEEE Trans. Bio-Med Eng, and MICCAI. She holds nearly 20 authorized patents in China. Under her guidance, students won the first prize in the main track of the 18th "Challenge Cup" National College Student Extracurricular Academic Science and Technology Works Competition in 2023. She has been awarded the first prize at the 14th National Youth Science and Technology Forum in Medicine and Health, the Contribution Award at the 18th Asian Conference on Computer-Assisted Surgery (ACCAS 2022), and the Excellent Ph.D. Thesis Award from the Chinese Society of Image and Graphics. She was also selected to IFMBE-Asian Pacific Young Investigators Research Program. As a principal investigator, she has led 15 projects including those funded by the National Natural Science Foundation, and she holds various positions such as Secretary-General of the Asian Society of Computer-Assisted Surgery (ASCAS), Secretary of the Academic Committee of the Tenth Council of the Chinese Society of Biomedical Engineering, and member of the Smart Healthcare Committee of the Chinese Association for Artificial Intelligence. Additionally, she serves as Associate Editor for the journal of Computerized Medical Imaging and Graphics, and as an editorial board member for the journal of iLIVER.

Areas of Research Interests

Computer-assisted surgery, minimally invasive diagnosis and treatment guidance, medical image analysis, artificial intelligence.

Honors And Awards
  1. 2023 - Special Award in the main competition track of the 18th "Challenge Cup" National College Students Extracurricular Academic Science and Technology Works Competition (as the first advisor).
  2. 2023 -Guided master's student won the Young Excellent Paper Award at the Chinese Biomedical Engineering Conference.
  3. 2023 - Second Prize in the Jiangsu Province Selection Competition of the 9th "Internet Plus" College Students' Innovation and Entrepreneurship Competition.
  4. 2022 - IFMBE-Asian Pacific Young Investigators Research Program (The sole selected candidate in the Chinese mainland)
  5. 2019 - First Prize at the 14th National Youth Science and Technology Forum on Medical and Health (Top 5 in the country in 2019).
  6. 2018 - Outstanding Doctoral Dissertation Award from the China Graphics and Image Society (Top 10 in the country in 2018).
Selected Publications
  1. Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network with Boundary Refinement.IEEE Transactions on Medical Imaging, 2023. (Corresponding Author)
  2. BCIRT: Backscattering Corrected Implicit Representation Tomography.Medical Image Analysis, 2026. (Corresponding Author)
  3. SpReg: An Autonomous Image-to-Patient Registration Framework for Robotic Bronchoscopy.IEEE International Conference on Robotics & Automation (ICRA), 2026. (Corresponding Author)
  4. STFMamba: A Neurocognitive-Inspired Dual-Path State Space Model for Surgical Phase Recognition.IEEE Robotics and Automation Letters, 2026. (Corresponding Author)
  5. Gaussian Distribution-Based Dynamic Optimization for Capsule Robot Pose Estimation in Ultrasound Images.IEEE Transactions on Instrumentation and Measurement, 2026. (Corresponding Author)
  6. COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection.International Conference on Computer Vision (ICCV), 2025. (Corresponding Author)
  7. Fiber Bragg Grating Force Sensors for Minimally Invasive Surgery: State of the Art, Challenges, and Opportunities.Smartbot, 2026. (Corresponding Author)
  8. Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness.IEEE Transactions on Medical Imaging, 2023. (Corresponding Author)
  9. Tissue Structure Updating for In Situ Augmented Reality Navigation Using Calibrated Ultrasound and Two-Level Surface Warping.IEEE Transactions on Biomedical Engineering, 2020. (Corresponding Author)
  10. Thinking Like Sonographers: Human-Centered CNN Models for Gout Diagnosis From Musculoskeletal Ultrasound.IEEE Transactions on Biomedical Engineering, 2025. (Corresponding Author)
  11. Improved 3D Catheter Shape Estimation Using Ultrasound Imaging for Endovascular Navigation: A Further Study.IEEE Journal of Biomedical and Health Informatics, 2020.
  12. Precise Angle Estimation of Capsule Robot in Ultrasound Using Heatmap Guided Two-Stage Network.Computer Methods and Programs in Biomedicine, 2023. (Corresponding Author)
  13. A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound.International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. (Corresponding Author)