Llwytho...
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms
Inverse problems for accelerated MRI typically incorporate domain-specific knowledge about the forward encoding operator in a regularized reconstruction framework. Recently physics-driven deep learning (DL) methods have been proposed to use neural networks for data-driven regularization. These metho...
Wedi'i Gadw mewn:
| Cyhoeddwyd yn: | IEEE J Sel Top Signal Process |
|---|---|
| Prif Awduron: | , , , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
2020
|
| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7978039/ https://ncbi.nlm.nih.gov/pubmed/33747334 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/jstsp.2020.3003170 |
| Tagiau: |
Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|