MotionDPS is a unified Bayesian method that alternates diffusion posterior sampling with proximal optimization to reconstruct motion-compensated 3D brain MRI images, estimate motion, and coil maps in a fully unsupervised manner.
Network accelerated mo- tion estimation and reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MotionDPS: Motion-Compensated 3D Brain MRI Reconstruction
MotionDPS is a unified Bayesian method that alternates diffusion posterior sampling with proximal optimization to reconstruct motion-compensated 3D brain MRI images, estimate motion, and coil maps in a fully unsupervised manner.