23 citations · 38 across the 3 of their papers we have counts for
3 papers
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…
Quantitative Parametric Mapping of Tissues Properties from Standard Magnetic Resonance Imaging Enabled by Deep Learning
Yan Wu, Yajun Ma, Youngwook Kee +10
Magnetic resonance imaging (MRI) offers superior soft tissue contrast and is widely used in biomedicine. However, conventional MRI is not quantitative, which presents a bottleneck…