AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images.Three-dimensional (3D) deformable image registration is a fundamental technique in medical image analysis tasks.  This paper proposes an adaptive multi-level registration network (AMNet) to retain the continuity of the deformation field and to achieve high-performance registration for 3D brain MR images.  Second, our AMNet is designed for image-wise registration, which adapts the local importance of a region in accordance with the complexity degrees of its deformation, and thereafter improves the registration efficiency and maintains the continuity of the deformation field. 
AMNet
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images.Three-dimensional (3D) deformable image registration is a fundamental technique in medical image analysis tasks.  This paper proposes an adaptive multi-level registration network (AMNet) to retain the continuity of the deformation field and to achieve high-performance registration for 3D brain MR images.  Second, our AMNet is designed for image-wise registration, which adapts the local importance of a region in accordance with the complexity degrees of its deformation, and thereafter improves the registration efficiency and maintains the continuity of the deformation field. 
AMNet
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images.Three-dimensional (3D) deformable image registration is a fundamental technique in medical image analysis tasks.  This paper proposes an adaptive multi-level registration network (AMNet) to retain the continuity of the deformation field and to achieve high-performance registration for 3D brain MR images.  Second, our AMNet is designed for image-wise registration, which adapts the local importance of a region in accordance with the complexity degrees of its deformation, and thereafter improves the registration efficiency and maintains the continuity of the deformation field. 
AMNet