We propose a method to transform susceptibility-weighted images of multiple sclerosis (MS) patients to images reflecting healthy volunteers based on generative adversarial networks (GANs). This method helps to identify MS by changing voxel information corresponding to the disease. The results showed that voxels around the central veins and ventricles are identified as MS-specific by the method. This finding may contribute to improvements in MS diagnosis and encourage future studies based on the presented findings.
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