Pengpeng Zhang, PhD

Automation in external beam radiotherapy chart checks improves standardization, efficiency, and error reduction. Our academic institution, consisting of approximately 200 users over 7 campuses, partnered with a vendor to integrate institution-developed automa...

To evaluate whether two intrafraction CBCT-based motion corrections are sufficient and necessary to ensure accurate target coverage in online adaptive stereotactic body radiotherapy (SBRT) of prostate cancer.

Electronic portal imaging devices (EPID) are widely used clinically for patient-specific quality assurance (QA). Anticipating potential failures can help prioritize measurements to assess the need for plan revision and avoid downstream workflow disruptions. W...

Early assessment of radiotherapy response is essential for adaptive treatment planning and digital-twin development. Longitudinal quantification of tumor volume and mass changes depends on reliable deformable image registration (DIR), which remains challengin...

This study proposes a transformer-based deep learning framework for markerless lung tumor tracking that improves localization accuracy, robustness, and computational efficiency of real-time intrafraction motion management for seamless clinical integration.

Markerless lung tumor tracking has the potential to reduce target margins and improve organ-at-risk (OAR) sparing during radiotherapy. We previously proposed a deep learning–based target decomposition approach for real-time markerless lung tumor tracking. Thi...

Despite extensive research on automated treatment planning, manual trial-and-error optimization remains common in clinical practice. Knowledge-based and AI-driven approaches show promise but often lack robustness to evolving clinical protocols due to the need...

Radiotherapy (RT) planning for Head and Neck Cancer (HNC) is resource-intensive and prone to variability. This study proposes and validates a fully automated pipeline synergizing deep learning-based 3D dose prediction with a knowledge-based planning (KBP) tem...