NimbleReg produces a light-weight diffeomorphic registration model from multi-region surface segmentations via PointNet that matches the alignment quality of image-consuming state-of-the-art DL methods.
A robust and efficient block matching framework for non linear registration of thoracic CT images
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NimbleReg: A light-weight deep-learning framework for diffeomorphic image registration
NimbleReg produces a light-weight diffeomorphic registration model from multi-region surface segmentations via PointNet that matches the alignment quality of image-consuming state-of-the-art DL methods.