13 citations · 17 across the 2 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…
Learning Image Representations for Content Based Image Retrieval of Radiotherapy Treatment Plans
Charles Huang, Varun Vasudevan, Oscar Pastor-Serrano +7
Objective: Knowledge based planning (KBP) typically involves training an end-to-end deep learning model to predict dose distributions. However, training end-to-end methods may be a…
Meta-optimization for Fully Automated Radiation Therapy Treatment Planning
Charles Huang, Yusuke Nomura, Yong Yang +1
Objective: Radiation therapy treatment planning is a time-consuming process involving iterative adjustments of hyperparameters. To automate the treatment planning process, we propo…