Antony John Lomax, PhD

To quantify the effect of interfractional anatomic variation on dose-averaged linear energy transfer (LETd) in head-and-neck intensity-modulated proton therapy (IMPT), and to determine whether daily adaptive proton therapy (APT) further alters LETd compared w...

Synthetic CT (sCT) generation from cone-beam CT (CBCT) enables accurate online adaptive radiotherapy, to account for daily anatomical and positioning variability in radiotherapy. We introduce two models for CBCT-to-sCT generation: to the best of our knowledge...

Deep learning-based dose prediction has emerged as a transformative approach for rapid radiotherapy planning. However, these models typically operate as "black boxes," providing only deterministic predictions without quantifying output reliability. This lack...