Jinhong Jung
Papers
1
Total Citations
10
H-Index
1
About
Jinhong Jung is a medical physicist whose research focuses on advancing radiation therapy through innovative motion management and treatment verification techniques. Their most cited work, "Geometric and dosimetric verification of a recurrent neural network algorithm to compensate for respiratory motion using an articulated robotic couch" (2020, 10 citations), demonstrates a novel integration of deep learning with robotic couch technology to correct for respiratory-induced tumor motion during radiotherapy. This contribution addresses a critical challenge in treating thoracic and abdominal cancers, where patient breathing can compromise treatment accuracy. By combining recurrent neural networks with articulated robotic systems, Jung’s research offers a pathway to more precise dose delivery, reducing damage to healthy tissues while enhancing tumor targeting. Their work bridges artificial intelligence and clinical physics, underscoring a commitment to translating computational methods into practical, patient-centered solutions. With growing recognition for this interdisciplinary approach, Jung continues to shape the future of adaptive radiotherapy, making their research essential for students and clinicians exploring real-time motion compensation in cancer care.
Research Focus
Key Achievements
Top Papers
- 1