Learning a Model-Driven Variational Network for Deformable Image Registration

Data-driven deep learning approaches to image registration can be less accurate than conventional iterative approaches, especially when training data is limited. To address this issue and meanwhile retain the fast inference speed of deep learning, we propose VR-Net, a novel cascaded variational netw...

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Veröffentlicht in:IEEE transactions on medical imaging 2022-01, Vol.41 (1), p.199-212
Hauptverfasser: Jia, Xi, Thorley, Alexander, Chen, Wei, Qiu, Huaqi, Shen, Linlin, Styles, Iain B., Chang, Hyung Jin, Leonardis, Ales, de Marvao, Antonio, O'Regan, Declan P., Rueckert, Daniel, Duan, Jinming
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Sprache:eng
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