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Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
Finally, it is suitable for cardiac data processing, since the nature of this parameterization is to define the deformation field in terms of the radial and rotational components.
A training-free recursive multiresolution framework for diffeomorphic deformable image registration
The moving image is warped successively at each resolution and finally aligned to the fixed image; this procedure is recursive in a way that at each resolution, a fully convolutional network (FCN) models a progressive change of deformation for the current warped image.
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