Compressed Sensing Sequences
Compressed Sensing Sequences is a magnetic resonance pulse sequence technique that enables accelerated image acquisition by exploiting signal sparsity and incoherent sampling, thereby reconstructing images from undersampled k-space data using nonlinear reconstruction algorithms.
68
Publications
2.3K
Citations
457
Authors
169
Institutions
Publications per year
2017–2026
48
68
Albert Hsiao, Michael Lustig, Marcus T. Alley et al. · Radiology · 2012 · 88 citations
Medicine, Cardiology, Radiology +17
1–5 of 68
457
4
h-index
4
h-index
4
h-index
3
h-index
3
h-index
1–5 of 457
169
Siemens Healthineers (Germany)
Forchheim, Germany
11 h-index
32 publications
1.3K citations
Philips (Germany)
Hamburg, Germany
6 h-index
8 publications
420 citations
Northwestern University
Evanston, United States
4 h-index
27 publications
673 citations
TUM Klinikum
Munich, Germany
3 h-index
19 publications
755 citations
Siemens (Switzerland)
Zurich, Switzerland
3 h-index
3 publications
191 citations
Technical University of Munich
Munich, Germany
3 h-index
18 publications
722 citations
Siemens Healthcare (United States)
Malvern, United States
3 h-index
6 publications
87 citations
University of Lausanne
Lausanne, Switzerland
2 h-index
6 publications
697 citations
1–8 of 169
MRM · 13 publications · 448 citations
12
h-index
9 publications · 356 citations
9
h-index
JMRI · 7 publications · 246 citations
7
h-index
5 publications · 159 citations
5
h-index
5 publications · 121 citations
5
h-index
1–5