University College London

To propose a deep-learning approach for predicting high from low-energy 4D-CBCT.

Breast cancer is the second common malignancy worldwide, with small island developing states (SIDS) experiencing disproportionately higher mortality-to-incidence ratios. Breast treatment planning remains one of the most challenging techniques and is prone to...

To assess how ridge filter (RF) and range shifter (RS) composition, along with pin spacing, shape, and lattice arrangement, influence in-field dose rates, dose uniformity, and field penumbra widths during ultra-high dose rate proton FLASH treatments. This stu...

To develop an MR organs-at-risk (OAR) auto-contouring pipeline that is robust in severely limited-data settings across contrasts, specifically for MR-Linac pancreatic cancer treatments where full-volume manual contouring can take ~8h. We developed mSPOCK (mul...

Clinical practice in radiotherapy medical physics is strengthened through shared experience and peer learning. Although peer-reviewed outputs and educational resources are essential, they are often insufficiently timely, specific, or practical for day-to-day...