Yaorong Ge

University of North Carolina at Charlotte

Papers

1

Total Citations

26

H-Index

1

About

Dr. Yaorong Ge is a leading researcher at the intersection of artificial intelligence and radiation oncology, with a primary focus on advancing intensity modulated radiation treatment planning. His most-cited work, a comprehensive overview of AI applications in this domain, has garnered 26 citations and serves as a foundational resource for integrating machine learning and knowledge-based systems into clinical workflows. Dr. Ge’s major contributions lie in systematically capturing and applying domain expertise to automate complex treatment planning tasks, thereby improving both efficiency and precision in cancer care. Beyond this flagship review, his research spans the development of intelligent algorithms that reduce human workload while enhancing treatment quality. By bridging computational methods with clinical practice, Dr. Ge has helped shape a new paradigm where AI not only assists but actively optimizes radiation delivery. His work is particularly notable for its practical impact, offering clear pathways for translating algorithmic advances into tangible patient benefits. For students and researchers, Dr. Ge’s career exemplifies how targeted AI applications can solve real-world medical challenges, making him a pivotal figure in the ongoing evolution of precision oncology.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence applications in intensity modulated radiation treatment planning: an overview
26 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of North Carolina at Charlotte

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago