Pengyu Shi

To develop a clinically oriented framework for patient-specific 3D dose prediction in head-and-neck radiotherapy, emphasizing DVH-consistent performance for target coverage and OAR sparing.

To investigate the feasibility and robustness of using a VQ-VAE based deep learning model for predicting daily anatomical changes in rectal cancer radiotherapy using a large-scale dataset.