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Found 4 papers, 2 papers with code
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
Clinical routine and retrospective cohorts commonly include multi-parametric Magnetic Resonance Imaging; however, they are mostly acquired in different anisotropic 2D views due to signal-to-noise-ratio and scan-time constraints.
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks
Large enough computed tomography (CT) data sets to train supervised deep models are often hard to come by.
Investigation on the generalization of the Sampled Policy Gradient algorithm
The Sampled Policy Gradient (SPG) algorithm is a new offline actor-critic variant that samples in the action space to approximate the policy gradient.
Sampled Policy Gradient for Learning to Play the Game Agar.io
In this paper, a new offline actor-critic learning algorithm is introduced: Sampled Policy Gradient (SPG).
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