To evaluate consensus-based guardrails for improving the robustness of an in-house deep learning Long Short-Term Memory (LSTM) respiratory phase prediction model used for respiratory-gated radiotherapy. Consensus filter configurations were compared based on t...
Author profile
Jing Qian, PhD
Mayo Clinic
Consensus-Based Guardrails Improve Robustness of Deep Learning–Driven Respiratory Phase Prediction for Gated Radiotherapy
Poster Program · Therapy Physics
Evaluation of Varian RapidPlanPT DVH Estimates Against Clinically Delivered Plans for Head and Neck Cancer Treated with Proton Radiation Therapy
To evaluate the agreement between Varian RapidPlanPT DVH estimates and clinically delivered plans using an independent validation set for head and neck cancer (HNC) treated with proton radiation therapy.
Poster Program · Therapy Physics
Deep-Learning-Based Proton Spot Map Generation from Dose and Linear Energy Transfer
To develop and evaluate a deep-learning approach that rapidly reconstructs clinically deliverable proton spot maps (PSMs) directly from dose or linear energy transfer (LET) distributions, bypassing conventional iterative optimization and supporting adaptive a...
Proffered Program · Therapy Physics