Min Seok Cho
Papers
1
Total Citations
10
H-Index
1
About
Min Seok Cho is a leading researcher in the field of medical physics, with a primary focus on advanced motion management and dosimetric verification in radiation therapy. His work centers on developing and validating computational algorithms to enhance the precision of cancer treatments, particularly for tumors affected by respiratory motion. Cho’s most notable contribution is the geometric and dosimetric verification of a recurrent neural network (RNN) algorithm designed to compensate for respiratory motion using an articulated robotic couch, a study published in 2020. This innovative approach integrates machine learning with real-time robotic adjustments, significantly improving target accuracy and reducing healthy tissue exposure. With over 10 citations for this seminal paper, his research has been recognized for bridging the gap between artificial intelligence and clinical radiotherapy. Cho’s work is instrumental for students and researchers exploring adaptive radiotherapy techniques, offering a robust framework for motion compensation that enhances treatment outcomes. His achievements underscore a commitment to translating computational models into practical, patient-centered solutions, making him a key figure in the evolution of precision oncology.
Research Focus
Key Achievements
Top Papers
- 1