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Found 5 papers, 1 papers with code
From Registration Uncertainty to Segmentation Uncertainty
Here, we propose a novel framework to concurrently estimate both the epistemic and aleatoric segmentation uncertainties for image registration.
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?
This is a factor that has been overlooked in prior research on tMRI post-processing.
MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction
We introduce a novel "momenta, shooting, and correction" framework for Lagrangian motion estimation in the presence of repetitive patterns and large motion.
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond
Deep learning technologies have dramatically reshaped the field of medical image registration over the past decade.
On Finite Difference Jacobian Computation in Deformable Image Registration
For digital transformations, |J| is commonly approximated using a central difference, but this strategy can yield positive |J|'s for transformations that are clearly not diffeomorphic -- even at the voxel resolution level.
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