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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Ali, S, Rittscher, J
Materyal Türü: Conference item
Baskı/Yayın Bilgisi: Springer 2019

Benzer Materyaller