  We present a detailed description and reference implementation of
preprocessing steps necessary to prepare the public Retrospective Image
Registration Evaluation (RIRE) dataset for the task of magnetic resonance
imaging (MRI) to X-ray computed tomography (CT) translation. Furthermore we
describe and implement three state of the art convolutional neural network
(CNN) and generative adversarial network (GAN) models where we report
statistics and visual results of two of them.
