S Reaungamornrat

Mahidol University, Johns Hopkins University

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

2
H-Index
3
Papers
45
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
On the design and development of a rough terrain robot for rescue missions
22 citations · 2009
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Mahidol University, Johns Hopkins University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago