Papers

3

Total Citations

73

H-Index

3

About

Dan Nguyen’s research sits at the intersection of medical physics and artificial intelligence, where he explores novel ways to make radiation therapy more precise, accessible, and intelligent. His early work demonstrated the feasibility of delivering prostate robotic radiation therapy using conventional C-arm linear accelerators (44 citations), a finding that helped broaden access to advanced treatment techniques. He further investigated the potential of intermediate-energy 2 MV x-rays for highly conformal extracranial radiotherapy (14 citations), pushing the boundaries of dose delivery without requiring specialized hardware. More recently, Nguyen has embraced deep learning, developing a multi-task model capable of multimodal radiotherapy dose prediction (2024, 15 citations). This work, grounded in the clinical context of accelerated partial breast irradiation, shows how AI can streamline treatment planning across different modalities. By bridging computational innovation with practical clinical needs, Nguyen’s contributions are shaping a future where smarter, more personalized radiotherapy is within reach for more patients.

Research Focus

Key Achievements

3
H-Index
3
Papers
73
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility of prostate robotic radiation therapy on conventional C-arm linacs
44 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: University of California, Los Angeles, The University of Texas Southwestern Medical Center

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago