116 citations · 237 across the 8 of their papers we have counts for
3 papers · 1 filter
CBCT-to-CT synthesis with a single neural network for head-and-neck, lung and breast cancer adaptive radiotherapy
Matteo Maspero, Mark HF Savenije, Tristan CF van Heijst +4
Purpose: CBCT-based adaptive radiotherapy requires daily images for accurate dose calculations. This study investigates the feasibility of applying a single convolutional network t…
Automatic Online Quality Control of Synthetic CTs
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff +1
Accurate MR-to-CT synthesis is a requirement for MR-only workflows in radiotherapy (RT) treatment planning. In recent years, deep learning-based approaches have shown impressive re…
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff +1
Convolutional neural networks (CNNs) have been widely and successfully used for medical image segmentation. However, CNNs are typically considered to require large numbers of dedic…