Jianjun Zhu 朱建軍

Jianjun Zhu 朱建軍

Assistant Professor working on medical imaging, AI, and surgical robotics

AI · Medical Imaging · Surgical Robotics

Research for Safer, More Precise Intervention

My research connects medical image computing, computer-assisted intervention, and interventional surgical robotics to support diagnosis, treatment planning, image guidance, and intelligent control.

Research & Publications Profile

Research Directions

Medical image computing from CT, MRI, and X-ray data to AI-assisted segmentation, anatomical modeling, and treatment planning

Medical Image Computing

Deep learning methods for CT, MRI, and X-ray analysis, including segmentation, registration, diagnosis support, and treatment planning.

Computer-assisted intervention combining anatomical models, tracking, registration, and live image guidance

Computer-Assisted Intervention

Registration, tracking, and real-time image guidance that connect preoperative planning with minimally invasive procedures.

Interventional surgical robotics using vision, force feedback, shared control, and robotic experiments for safe vascular navigation

Interventional Surgical Robotics

Vision, force sensing, and intelligent shared control for safer human–robot collaboration in image-guided intervention.

Join Our Team

We welcome motivated students interested in medical imaging, artificial intelligence, and surgical robotics. Students with backgrounds in computer science, engineering, medical imaging, or related fields are encouraged to get in touch.