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Adversarial Training and Dilated Convolutions for Brain MRI Segmentation., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 56-64. Springer, (2017)Deformable image registration using convolutional neural networks., , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105740S. SPIE, (2018)Decision fusion for temporal prediction of respiratory liver motion., , , and . ISBI, page 698-701. IEEE, (2014)Progressively growing convolutional networks for end-to-end deformable image registration., , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491C. SPIE, (2019)Roto-Translation Covariant Convolutional Networks for Medical Image Analysis., , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 440-448. Springer, (2018)Inferring a third spatial dimension from 2D histological images., , , , and . ISBI, page 586-589. IEEE, (2018)The truth is hard to make: Validation of medical image registration., , , and . ICPR, page 2294-2300. IEEE, (2016)Supervised local error estimation for nonlinear image registration using convolutional neural networks., and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101331U. SPIE, (2017)Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 83-91. Springer, (2017)