Symmetric Deformable Registration via Learning a Pseudomean for MR Brain Images

Figure 1

Overview of our method. Learning the parameters of S-Net by unsupervised training. The input consists of subject image , the template image , and their difference map; the outputs are the 3D displacement maps.