An Unsupervised Learning Model for Deformable Medical Image Registration

An Unsupervised Learning Model for Deformable Medical Image Registration

© 2018 IEEE. We present a fast learning-based algorithm for deformable, pairwise 3D medical image registration. Current registration methods optimize an objective function independently for each pair of images, which can be time-consuming for large data. We define registration as a parametric functi...

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Bibliographic Details
Main Authors: Balakrishnan, Guha, Zhao, Amy, Sabuncu, Mert R., Guttag, John, Dalca, Adrian V.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: IEEE 2021
Online Access:https://hdl.handle.net/1721.1/137557

Internet

https://hdl.handle.net/1721.1/137557

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