Payam Samadi Miandoab

Amirkabir University of Technology

Papers

2

Total Citations

11

H-Index

2

About

Payam Samadi Miandoab is a leading researcher in the field of medical physics, specializing in stereotactic body radiotherapy (SBRT) and real-time tumor tracking. His primary contributions focus on optimizing target margin design for moving tumors treated with the CyberKnife robotic radiosurgery system. In his highly cited 2022 study, he analyzed a large cohort of clinical log data to quantify the necessary planning target volume (PTV) margins, addressing a critical challenge in ensuring treatment accuracy. Building on this, his 2023 multi-center feasibility study introduced a novel PTV margin estimation approach that accounts for covariance in modeling and prediction errors, offering a more robust framework for treating mobile tumors. With over 11 citations across his key works, Miandoab’s research has directly impacted clinical practice by reducing uncertainty in dose delivery. His work is notable for its rigorous data-driven methodology and potential to improve outcomes for patients with thoracic and abdominal cancers.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Target margin design through analyzing a large cohort of clinical log data in the cyberknife system
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Amirkabir University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago