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Amanda J. Deisher, PhD
Mayo Clinic
Consensus-Based Guardrails Improve Robustness of Deep Learning–Driven Respiratory Phase Prediction for Gated Radiotherapy
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...
Poster Program · Therapy Physics
Adapt to Setup (AToS): An on-Line Proton Adaptive Strategy for Proton SBRT
Proton dose distributions can be very sensitive to setup and anatomical variations. Specifically, back tissue correspondence in posterior beam spine SBRT and changes in lung density or pleural effusion in lung SBRT are scenarios in which plan adaption would b...
Proffered Program · Therapy Physics