S Reaungamornrat
Papers
3
Total Citations
45
H-Index
2
About
S Reaungamornrat’s research bridges two critical domains: rescue robotics and image-guided surgery. Early in their career, they contributed to the design and development of a rough terrain robot for rescue missions, addressing the communication limitations that hindered tele-operated robots during disasters like 9/11—a paper that has garnered 22 citations and underscores the life-saving potential of autonomous systems. More recently, Reaungamornrat has focused on advancing transoral robotic surgery (TORS) for base-of-tongue cancer, a minimally invasive technique that demands precise localization despite highly deformed intraoperative setups. Their work on deformable image registration for cone-beam CT guidance—cited 21 times—introduces a method to align preoperative and intraoperative anatomy, overcoming challenges posed by neck flexion and mouth opening. A subsequent refinement using Gaussian mixture models combined with demons registration further enhances accuracy, though with fewer citations to date. These contributions demonstrate a commitment to translating computational methods into clinical tools that improve surgical outcomes, making Reaungamornrat a notable figure in both field robotics and medical image analysis.
Research Focus
Key Achievements
Top Papers
- 1On the design and development of a rough terrain robot for rescue missions22 citations · 2009
- 2
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