Ventricle surface reconstruction from cardiac MR slices using deep learning
Reconstructing 3D ventricular surfaces from 2D cardiac MR data is challenging due to the sparsity of the input data and the presence of interslice misalignment. It is usually formulated as a 3D mesh fitting problem often incorporating shape priors and smoothness regularization, which might affect ac...
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| Format: | Conference item |
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Springer
2019
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