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Author profile
Qijie Huang, MS
Memorial Sloan Kettering Cancer Center
AI Deformable Dose Accumulation and Patient-Specific Uncertainty for MR-Guided Radiotherapy of Locally Advanced Pancreatic Cancer
Dose accumulation using deformable image registration (DIR) enables a more accurate evaluation of delivered dose in adaptive radiotherapy, allowing evaluation of discrepancies between planned and delivered treatments. However, different DIR algorithms produce...
Poster Program · Therapy Physics
Routine Clinical Use of Clinical-Criteria–Driven Automated IMRT and VMAT Planning
Despite extensive research on automated treatment planning, manual trial-and-error optimization remains common in clinical practice. Knowledge-based and AI-driven approaches show promise but often lack robustness to evolving clinical protocols due to the need...
Proffered Program · Therapy Physics
Portpy: An Open-Source Platform for Benchmarking and Clinical Translation of Radiotherapy Treatment Planning Optimization
We present PortPy (Planning and Optimization for Radiation Therapy in Python), an open-source platform designed to accelerate research, benchmarking, and clinical translation of treatment planning optimization algorithms. PortPy provides curated benchmark dat...
Proffered Program · Therapy Physics