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Found 3 papers, 1 papers with code
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed.
Unsupervised dynamic modeling of medical image transformation
For this, we use a conditional variational auto-encoder (CVAE) to nonlinearly map the higher-dimensional image to a lower-dimensional space, wherein we model the dynamics with a linear Gaussian state-space model (LG-SSM).
Registration by tracking for sequential 2D MRI
Together with a sparse-to-dense interpolation scheme we can then estimate of the displacement field.
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