3 citations · 4 across the 5 of their papers we have counts for
5 papers
Towards Gaussian processes modelling to study the late effects of radiotherapy in children and young adults with brain tumours
Angela Davey, Arthur Leroy, Eliana Vasquez Osorio +6
Survivors of childhood cancer need lifelong monitoring for side effects from radiotherapy. However, longitudinal data from routine monitoring is often infrequently and irregularly…
An anatomically-informed correspondence initialisation method to improve learning-based registration for radiotherapy
Edward G. A. Henderson, Marcel van Herk, Andrew F. Green +1
We propose an anatomically-informed initialisation method for interpatient CT non-rigid registration (NRR), using a learning-based model to estimate correspondences between organ s…
Generalised Automatic Anatomy Finder (GAAF): A general framework for 3D location-finding in CT scans
Edward G. A. Henderson, Eliana M. Vasquez Osorio, Marcel van Herk +1
We present GAAF, a Generalised Automatic Anatomy Finder, for the identification of generic anatomical locations in 3D CT scans. GAAF is an end-to-end pipeline, with dedicated modul…
Contour Generation with Realistic Inter-observer Variation
Eliana Vásquez Osorio, Jane Shortall, Jennifer Robbins +1
Contours are used in radiotherapy treatment planning to identify regions to be irradiated with high dose and regions to be spared. Therefore, any contouring uncertainty influences…
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy
M. Virgolin, Z. Wang, B. V. Balgobind +11
To study radiotherapy-related adverse effects, detailed dose information (3D distribution) is needed for accurate dose-effect modeling. For childhood cancer survivors who underwent…