Search Results for author:
Found 3 papers, 2 papers with code
RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans
The predicted respiratory patterns, represented by time-varying displacement vector fields (DVFs) at different breathing phases, are modulated through auxiliary inputs of 1D breathing traces so that a larger amplitude in the trace results in more significant predicted deformation.
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function
Model with (MAE + Moment) loss function outperformed the model with MAE loss by significantly improving the DVH-score (11%, p$<$0. 01) while having similar computational cost.
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
Moreover, any changes in the clinical criteria requires a new set of manually generated plans by planners to build a new prediction model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
