23 citations · 39 across the 4 of their papers we have counts for
4 papers
DoseRAD2026 Challenge dataset: AI accelerated photon and proton dose calculation for radiotherapy
Fan Xiao, Nikolaos Delopoulos, Niklas Wahl +13
Purpose: Accurate dose calculation is essential in radiotherapy for precise tumor irradiation while sparing healthy tissue. With the growing adoption of MRI-guided and real-time ad…
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs
Alessandro Longhi, Danny Lathouwers, Zoltán Perkó
Partial Differential Equations (PDEs) are central to science and engineering. Since solving them is computationally expensive, a lot of effort has been put into approximating their…
A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy
Oscar Pastor-Serrano, Steven Habraken, Mischa Hoogeman +5
In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. Motion models can be used to simulate motion pattern…
Sub-second photon dose prediction via transformer neural networks
Oscar Pastor-Serrano, Peng Dong, Charles Huang +2
Fast dose calculation is critical for online and real time adaptive therapy workflows. While modern physics-based dose algorithms must compromise accuracy to achieve low computatio…