Deformable Registration of Brain MR Images via a Hybrid Loss
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We learn a deformable registration model for T1-weighted MR images by considering multiple image characteristics via a hybrid loss. Our method registers the OASIS dataset with high accuracy while preserving deformation smoothness.
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