AI RESEARCH
A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis
arXiv CS.CV
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ArXi:2603.13520v1 Announce Type: new The translation from Magnetic resonance imaging (MRI) to Computed tomography (CT) has been proposed as an effective solution to facilitate MRI-only clinical workflows while limiting exposure to ionizing radiation. Although numerous Generative Adversarial Network (GAN) architectures have been proposed for MRI-to-CT translation, systematic and fair comparisons across heterogeneous models remain limited.