BEST IN PHYSICS (MULTI-DISCIPLINARY): Probabilistic Deep Learning-Based Deformable Image Registration with Calibrated Uncertainty Quantification for Adaptive Lung Radiotherapy
To develop and evaluate a deep-learning-based probabilistic deformable image registration (DIR) framework that provides high-accuracy deformation and calibrated uncertainty, enabling rapid dose accumulation reliability assessment in lung adaptive radiotherapy.
Proffered Program · Therapy Physics