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20242026
most citedAutomating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning

1 citations · 1 across the 2 of their papers we have counts for

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cs.AI2026

An Evidence-Driven Multi-Agent Compound AI System for Head and Neck Proton Radiotherapy Planning

Qingqing Wang, Liqiang Xiao, Chang Chang

Radiation treatment planning requires balancing competing objectives to satisfy clinical criteria while accommodating physicians' preferences. This study aims to develop an evidenc…

cs.AI2025

A learning-driven automatic planning framework for proton PBS treatments of H&N cancers

Qingqing Wang, Liqiang Xiao, Chang Chang

Proton pencil beam scanning (PBS) treatment planning for head & neck (H&N) cancers involves numerous conflicting objectives, requiring iterative objective parameter adjustments to…