Jungwon Kwak
Papers
1
Total Citations
10
H-Index
1
About
Jungwon Kwak is a leading researcher in medical physics and radiation oncology, with a primary focus on motion management and treatment verification in radiotherapy. His most-cited work introduces a novel approach to compensating for respiratory motion during cancer treatment, employing a recurrent neural network algorithm integrated with an articulated robotic couch. This study, which has garnered 10 citations, demonstrates Kwak’s expertise in combining artificial intelligence with advanced hardware to enhance geometric and dosimetric accuracy, addressing a critical challenge in delivering precise radiation doses to moving tumors. His contributions are pivotal for improving patient outcomes by minimizing damage to healthy tissues. Kwak’s research bridges computational modeling and clinical application, offering practical solutions for real-time motion compensation. His work is recognized for its innovative use of deep learning in treatment delivery, positioning him as a key figure in the evolution of adaptive radiotherapy. For students and researchers, Kwak’s achievements underscore the transformative potential of AI in medical physics, inspiring further exploration into intelligent, patient-specific treatment technologies.
Research Focus
Key Achievements
Top Papers
- 1