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A custom optimization engine was developed to determine the optimal collimator and couch angles for single-isocenter, multi-lesion LINAC-based stereotactic radiosurgery (SRS). Herein, we demonstrate technical feasibility of the t...

Radiotherapy treatment plan optimization depends on planner experience and a trial-and-error process. Supervised deep learning can improve efficiency, but when trained on historical clinical plans, its performance is limited by t...

To improve the effectiveness and efficiency of radiotherapy clinical workflows, we developed and deployed three vendor-specific Event-Driven Framework (EDF) automation applications that reduce manual intervention and enhance comm...