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Dr. Seuntjens’ research primarily involves techniques to optimize the efficacy of radiation therapy by making the determination and planning of the dose delivered in radiation therapy more accurate. To this end he has developed special Monte Carlo simulation techniques and detection techniques which are now routinely used in clinical practice. A second area of interest is the development of new radiation therapy treatment techniques. These include Modulated Electron Radiation Therapy (MERT), intraoperative radiation therapy techniques (IORT) and, more recently, on technologies that pave the way towards low-cost proton therapy. He has also worked on Monte Carlo computational methods both for clinical dosimetry as well as to better understand the mechanistic effect of radiation on cellular response. Finally, his group has used data science methods based on clinical data sources with the ultimate goal to optimize treatment outcome of cancer patients.
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论文共 537 篇作者统计合作学者相似作者
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Julien Bancheri,Jan Seuntjens
MEDICAL PHYSICS (2024)
Thierry L. Lefebvre,Ozan Ciga,Sahir Rai Bhatnagar,Yoshiko Ueno, Sameh Saif, Eric Winter-Reinhold,Anthony Dohan,Philippe Soyer,Reza Forghani,Kaleem Siddiqi,Jan Seuntjens,Caroline Reinhold,
Medical physicsno. 6 (2023): 3886-3886
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology (2023): 109816-109816
David Santiago Ayala Alvarez,Peter G.F. Watson,Marija Popovic,Veng Jean Heng,Michael D.C. Evans, Valerie Panet-Raymond,Jan Seuntjens
International Journal of Radiation Oncology*Biology*Physicsno. 3 (2023): 763-773
Radiotherapy and Oncology (2023): S1768-S1769
Jingyi Bian, Juan Duran,Wook-Geun Shin,Jose Ramos-Mendez,Jack C. Sankey,Lilian Childress,Jan Seuntjens,Shirin A. Enger
Physics in medicine and biologyno. 12 (2023): 124002-124002
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