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In this work we propose a deep learning network for deformable image registration (DIRNet).
The MNIST database of handwritten digits, 1998
Y. LeCun and C. Cortes · 1998
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Nonrigid registration using free-form deformations: application to breast MR images
D. Rueckert, L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, and D. J. Hawkes · 1999
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Evaluation framework for algorithms segmenting short axis cardiac MRI
P. Radau, Y. Lu, K. Connelly, G. Paul, A. Dick, and G. Wright · 2009
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
D.-A. Clevert, T. Unterthiner, and S. Hochreiter · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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M. Jaderberg, K. Simonyan, A. Zisserman, and K. Kavukcuoglu · 2015
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Real-time 2D/3D Registration via CNN Regression
S. Miao, Z. J. Wang, and R. Liao · 2015
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An Artificial Agent for Robust Image Registration
R. Liao, S. Miao, P. de Tournemire, S. Grbic, A. Kamen, T. Mansi, and D. Comaniciu · 2016
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SimpleElastix: A user-friendly, multi-lingual library for medical image registration
K. Marstal, F. Berendsen, M. Staring, and S. Klein · 2016
Later among the works it cites.
Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
G. Wu, M. Kim, Q. Wang, B. C. Munsell, and D. Shen · 2016
Later among the works it cites.
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