MRI to CT Translation with GANs
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jan 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 0; 2025: 1.
3 papers.
- 2025Comparative Analysis of GAN and Diffusion for MRI-to-CT translation26 Sep 2025
- 2021Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging20 Jul 2021
- 2021ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network8 Mar 2021