Jul 6, 2021 · For most learning-based registration approaches, the regularization usually has a fixed weight and only constrains the spatial transformation.

For most learning-based registration approaches, the regularization usually has a fixed weight and only constrains the spatial transformation. ... In this study, ...

This study proposes a mean-teacher based registration framework that incorporates an additional temporal regularization term by encouraging the teacher ...

Sep 17, 2022 · In this study, we propose a mean-teacher based registration framework, which incorporates an additional temporal consistency regularization term.

In this study, we propose a mean-teacher based registration framework, which incorporates an additional temporal consistency regularization term by encouraging ...

For most learning-based registration approaches, the regularization usually has a fixed weight and only constrains the spatial transformation. ... In this study, ...

Jul 6, 2021 · In this paper, we proposed a double-uncertainty assisted spatial and tempo- ral regularization weighting strategy, assisted by our Mean-Teacher ...

In order to tackle the difficulty associated with the ill-posed nature of the image registration problem, regularization is often used to constrain the solution ...

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.

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