Youngkyoo Hwang
Papers
1
Total Citations
3
H-Index
1
About
Youngkyoo Hwang is a researcher specializing in image-guided therapy and medical image analysis, with a particular focus on real-time tracking and modeling of anatomical structures. His major contributions lie in developing computational methods to enhance the precision of minimally invasive treatments, such as radiofrequency ablation and high-intensity focused ultrasound. His most-cited work, "Real-time moving organ tracking in ultrasound video based on a 3D organ model" (2012, 3 citations), addresses the critical challenge of compensating for organ motion during image-guided procedures, enabling more accurate targeting of tumors or lesions. By integrating 3D organ models with ultrasound video streams, Hwang's approach improves the safety and efficacy of therapies like cyberknife and surgical robotics. Though his citation count is modest, his research holds significant practical value in advancing real-time guidance systems for dynamic anatomical environments. Hwang's work bridges computer vision and clinical application, offering foundational techniques for future innovations in adaptive and automated medical interventions.
Research Focus
Key Achievements
Top Papers
- 1