Papers
1
Total Citations
7
H-Index
1
About
An Zhou is a researcher at the forefront of medical image computing and surgical robotics, with a primary focus on developing robust registration techniques for minimally invasive surgery (MIS). Her most cited work, "Robust Orthogonal-View 2-D/3-D Rigid Registration for Minimally Invasive Surgery" (2021, 7 citations), addresses a critical challenge in MIS: accurately estimating the intra-operative pose of surgical targets. By aligning intra-operative 2-D fluoroscopy with pre-operative 3-D CT scans, Zhou’s method enhances the precision of surgical robot guidance, directly improving patient outcomes. This contribution is particularly notable for its robustness in handling the inherent noise and geometric distortions of clinical imaging, setting a new standard for real-time, image-guided interventions. Zhou’s research bridges the gap between computer vision and clinical practice, offering practical solutions that reduce procedural risks and advance the capabilities of robotic surgery. Her work continues to influence the development of safer, more accurate surgical systems, making her a rising authority in the field of medical image analysis.
Research Focus
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