Shing Chiu Wong
Papers
1
Total Citations
11
H-Index
1
About
Dr. Shing Chiu Wong is a biomedical engineer whose research lies at the intersection of medical imaging, computer-assisted surgery, and deep learning. His most cited work, "Deep learning-driven catheter tracking from bi-plane X-ray fluoroscopy of 3D printed heart phantoms" (2021, 11 citations), exemplifies his core contribution: developing intelligent, data-driven methods to enhance the precision and safety of minimally invasive procedures. By combining 3D-printed anatomical models with convolutional neural networks, Wong has pioneered techniques for real-time, automated catheter localization in bi-plane fluoroscopy—a critical step toward reducing radiation exposure and improving navigation in complex cardiac interventions. His research addresses a fundamental challenge in modern surgery: how to extend the benefits of minimally invasive approaches to more intricate operations through advanced robotic systems and image guidance. While his citation count reflects a focused, emerging body of work, Wong’s integration of deep learning with physical phantoms positions him at the forefront of translational medical AI. His achievements highlight a commitment to bridging computational innovation and clinical practice, offering tangible solutions for safer, more effective image-guided therapies.
Research Focus
Key Achievements
Top Papers
- 1