Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping
Recent successes in deep learning based deformable image registration (DIR) methods have demonstrated that complex deformation can be learnt directly from data while reducing computation time when compared to traditional methods. However, the reliance on fully linear convolutional layers imposes a u...
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| Format: | Conference item |
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Springer
2019
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