Ligang Xing

Shandong Tumor Hospital

Papers

1

Total Citations

32

H-Index

1

About

Dr. Ligang Xing is a leading researcher in medical physics and radiation oncology, with a primary focus on advancing motion management and imaging techniques for precision radiotherapy. His work centers on developing intelligent, real-time tracking solutions to mitigate tumor motion caused by respiration, a critical challenge in thoracic and abdominal cancer treatments. Dr. Xing’s major contributions include pioneering the use of attention-aware fully convolutional neural networks integrated with convolutional long short-term memory networks for ultrasound-based motion tracking. This innovative deep learning approach, detailed in his highly cited 2019 paper (32 citations), enables robust, real-time tumor localization using LINAC-compatible robotic-arm-mounted ultrasound systems—offering high soft-tissue contrast without ionizing radiation. By combining spatial attention mechanisms with temporal sequence learning, his method significantly improves tracking accuracy and reliability compared to conventional techniques. This work has substantial implications for adaptive radiotherapy, potentially reducing treatment margins and improving therapeutic outcomes. Dr. Xing’s research bridges artificial intelligence and clinical physics, establishing him as a key figure in the development of non-invasive, image-guided radiation therapy solutions that enhance both precision and patient safety.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Attention‐aware fully convolutional neural network with convolutional long short‐term memory network for ultrasound‐based motion tracking
32 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Shandong Tumor Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago