Jiateng Wang
Papers
2
Total Citations
43
H-Index
2
About
Jiateng Wang is a leading researcher in medical robotics, specializing in the intersection of real-time motion prediction and precision radiotherapy. His work directly addresses a critical challenge in robotic radiosurgery: the inherent delay between tumor motion and robotic manipulator response, which can compromise treatment accuracy. Wang’s most impactful contribution is his development of a **Bidirectional Gated Recurrent Unit (BiGRU) network** for the rapid prediction of respiratory motion, a method that has garnered 37 citations for its ability to significantly reduce tracking errors in chest and abdomen treatments. He further advanced the field by proposing an **improved correlation model** that leverages essential skin surface motion to more accurately infer internal tumor position, addressing the limitations of traditional external feature tracking. With a total of 43 citations across his key works, Wang’s research is foundational for enhancing the safety and efficacy of stereotactic radiotherapy. His innovative use of deep learning to bridge the gap between external motion signals and internal tumor dynamics marks him as a pivotal figure in the ongoing effort to make robotic radiosurgery more responsive, reliable, and patient-specific.
Research Focus
Key Achievements
Top Papers
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