Author profile
University of Nebraska Medical Center
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...
Ultrasound-guided high-dose-rate (UGHDR) brachytherapy for prostate cancer depends on real-time transrectal ultrasound (TRUS) imaging for catheter guidance. However, the limited ability of TRUS to depict critical bony anatomy, such as the pubic arch, poses ch...
Existing deep learning-based dose prediction methods primarily learn empirical mappings between anatomy and dose, without modeling beam delivery physics. This gap may limit their robustness and accuracy, especially in heterogeneous regions where dose depositi...