Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
about
Undersampled MR Image Reconstruction with Data-Driven Tight FrameTwo-Layer Tight Frame Sparsifying Model for Compressed Sensing Magnetic Resonance Imaging.Fast implementation for compressive recovery of highly accelerated cardiac cine MRI using the balanced sparse model.Frame-Based CT Image Reconstruction via the Balanced Approach.Self-supervised sparse coding scheme for image classification based on low rank representation.
P2860
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
@ast
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
@en
type
label
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
@ast
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
@en
prefLabel
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
@ast
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
@en
P2093
P2860
P50
P1433
P1476
Balanced sparse model for tight frames in compressed sensing magnetic resonance imaging
@en
P2093
P2860
P304
P356
10.1371/JOURNAL.PONE.0119584
P407
P577
2015-04-07T00:00:00Z