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About
Fengwei Qi is a leading researcher in the field of interventional neuroimaging and surgical robotics, with a primary focus on enhancing the precision and safety of minimally invasive brain procedures. His key research areas include multimodal brain MR image analysis, surgical navigation systems, and robot-assisted neurosurgery. Qi’s major contribution lies in the development of the Surgical Planning for Brain Intervention (SPBI) framework, which integrates multimodal brain MR images to provide real-time, high-accuracy guidance for neurosurgeons. This work addresses a critical bottleneck in interventional MRI (i-MRI) by enabling more reliable preoperative and intraoperative navigation, particularly for robot-assisted interventions. While his most-cited paper, "Surgical planning for brain intervention (SPBI) using multimodal brain MR images" (2025), has garnered 1 citation, its foundational impact is expected to grow as the field advances toward automated, image-guided neurosurgery. Qi’s research bridges the gap between imaging technology and clinical application, offering a pathway to safer, more effective brain interventions. His work is especially relevant for students and researchers interested in the intersection of medical imaging, surgical planning, and robotics, where his contributions are paving the way for next-generation neurosurgical tools.
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