75 citations · 75 across the 3 of their papers we have counts for
4 papers
A Two-Stage Framework for Fast Proton Spot Map Generation in Pencil Beam Scanning Prostate SBRT Planning
Xueyan Tang, Hok Wan Chan Tseung, Mark Pepin +6
Background: In pencil beam scanning (PBS) proton therapy, plans are delivered as proton spot maps (PSMs). Although deep learning can rapidly predict 3D dose, direct conversion of d…
Dose-LET Interactions Predict Capsular Contracture After Proton Postmastectomy Radiation Therapy
Jingyuan Chen, Zeliang Ma, Meiyun Cao +9
Pencil beam scanning (PBS) proton therapy provides highly conformal dose distributions that are increasingly leveraged for postmastectomy radiation therapy (PMRT) to reduce cardiop…
Monte-Carlo-based 4D robust optimization using physical and temporal uncertainties for intensity-modulated proton therapy
Mark D. Pepin, Erik Tryggestad, Hok Seum Wan Chan Tseung +5
Purpose: Respiratory motion and the interplay effect cause the dose delivered to a patient with spot-scanned proton therapy to differ from the dose planned for during optimization.…
Clinically applicable Monte Carlo-based biological dose optimization for the treatment of head and neck cancers with spot-scanning proton therapy
H. Wan Chan Tseung, J. Ma, C. R. Kreofsky +2
Purpose: To demonstrate the feasibility of fast Monte Carlo (MC) based inverse biological planning for the treatment of head and neck tumors in spot-scanning proton therapy. Method…