Deep Learning for Cone Beam CT Imaging

Over the last years, I’ve been involved in a project to improve various aspects cone-beam CT imaging using deep learning. Recently, two more papers from this work were published. One in Physics in Medicine & Biology proposes an efficient dimension reduction workflow to reduce high cone angle artifacts while one in Computer Methods and Programs in Biomedicine compares different neural network training strategies for image segmentation. Thanks to everyone involved, in particular to Jordi Minnema!