A probabilistic generative model is presented and an unsupervised learning-based inference algorithm is derived that uses insights from classical registration methods and makes use of recent developments in convolutional neural networks (CNNs).
Authors
Guha Balakrishnan
5 papers
Adrian V. Dalca
12 papers
M. Sabuncu
8 papers
J. Guttag
5 papers
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