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Recurrent Inference Machines as inverse problem solvers for MR relaxometry
This framework combines the advantages of both data-driven and model-based methods, and, we hypothesize, is a promising tool for QMRI.
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture
The results of this evaluation demonstrate that using post-processing techniques to refine the target of the network increases the accuracy of depth estimation on individual mono images.
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