Physics-Aware per-Beam Dose Prediction Using Distance-Corrected Conical Fluence and Multimodal Clinical Information
This work aims to develop a physics-aware deep learning framework for radiotherapy dose prediction that improves accuracy and clinical efficiency. The proposed Physics-Aware Multimodal UNet (PhysMM-UNet) integrates CT images, fluence maps, organ masks, and mu...
Poster Program · Therapy Physics