Papers
5
Total Citations
38
H-Index
3
About
Wenying Wang is a pioneering researcher in intraoperative imaging and robotic-assisted surgery, with a primary focus on advancing cone-beam computed tomography (CBCT) for clinical applications. Her most significant contribution is the development of extended longitudinal 3D CBCT imaging using a continuous multi-turn reverse helical scan, which dramatically expands the field of view for intraoperative visualization—a breakthrough that addresses a critical limitation in current surgical imaging. Wang has also made substantial advances in metal artifact reduction through non-circular CBCT orbit designs on clinical robotic C-arms, directly improving image quality in the presence of surgical tools and implants. Her work on computer-assisted zygomatic implant surgery demonstrates the translational impact of her research, with clinical efficacy studies guiding surgical practice. With over 38 citations across her top papers, Wang’s innovations are shaping the future of intraoperative guidance. Notably, her recent foray into robotic subsurface defect inspection using ground-penetrating radar and unsupervised deep learning showcases her versatility in applying imaging and robotics to infrastructure health monitoring. Wang’s research sits at the intersection of medical physics, robotics, and artificial intelligence, making her a leading voice in next-generation surgical imaging systems.
Research Focus
Key Achievements
Top Papers
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