324 related articles for article (PubMed ID: 27566536)
1. Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields.
Li E; Khalvati F; Shafiee MJ; Haider MA; Wong A
BMC Med Imaging; 2016 Aug; 16(1):51. PubMed ID: 27566536
[TBL] [Abstract][Full Text] [Related]
2. Prior data assisted compressed sensing: a novel MR imaging strategy for real time tracking of lung tumors.
Yip E; Yun J; Wachowicz K; Heikal AA; Gabos Z; Rathee S; Fallone BG
Med Phys; 2014 Aug; 41(8):082301. PubMed ID: 25086550
[TBL] [Abstract][Full Text] [Related]
3. Visually weighted reconstruction of compressive sensing MRI.
Oh H; Lee S
Magn Reson Imaging; 2014 Apr; 32(3):270-80. PubMed ID: 24332887
[TBL] [Abstract][Full Text] [Related]
4. Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain.
Yang B; Yuan M; Ma Y; Zhang J; Zhan K
BMC Med Imaging; 2015 Aug; 15():28. PubMed ID: 26253135
[TBL] [Abstract][Full Text] [Related]
5. Exploiting sparsity and low-rank structure for the recovery of multi-slice breast MRIs with reduced sampling error.
Yin XX; Ng BW; Ramamohanarao K; Baghai-Wadji A; Abbott D
Med Biol Eng Comput; 2012 Sep; 50(9):991-1000. PubMed ID: 22644257
[TBL] [Abstract][Full Text] [Related]
6. Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme.
Mehranian A; Rad HS; Rahmim A; Ay MR; Zaidi H
Magn Reson Imaging; 2013 Oct; 31(8):1399-411. PubMed ID: 23891179
[TBL] [Abstract][Full Text] [Related]
7. Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields.
Shafiee MJ; Haider SA; Wong A; Lui D; Cameron A; Modhafar A; Fieguth P; Haider MA
IEEE Trans Med Imaging; 2015 May; 34(5):1111-24. PubMed ID: 25474807
[TBL] [Abstract][Full Text] [Related]
8. Optimal compressed sensing reconstructions of fMRI using 2D deterministic and stochastic sampling geometries.
Jeromin O; Pattichis MS; Calhoun VD
Biomed Eng Online; 2012 May; 11():25. PubMed ID: 22607467
[TBL] [Abstract][Full Text] [Related]
9. Compressed-sensing dynamic MR imaging with partially known support.
Liang D; Ying L
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2829-32. PubMed ID: 21095704
[TBL] [Abstract][Full Text] [Related]
10. 3D Cartesian MRI with compressed sensing and variable view sharing using complementary poisson-disc sampling.
Levine E; Daniel B; Vasanawala S; Hargreaves B; Saranathan M
Magn Reson Med; 2017 May; 77(5):1774-1785. PubMed ID: 27097596
[TBL] [Abstract][Full Text] [Related]
11. Magnetic resonance image reconstruction using trained geometric directions in 2D redundant wavelets domain and non-convex optimization.
Ning B; Qu X; Guo D; Hu C; Chen Z
Magn Reson Imaging; 2013 Nov; 31(9):1611-22. PubMed ID: 23992629
[TBL] [Abstract][Full Text] [Related]
12. Undersampled MRI reconstruction with patch-based directional wavelets.
Qu X; Guo D; Ning B; Hou Y; Lin Y; Cai S; Chen Z
Magn Reson Imaging; 2012 Sep; 30(7):964-77. PubMed ID: 22504040
[TBL] [Abstract][Full Text] [Related]
13. Fast implementation for compressive recovery of highly accelerated cardiac cine MRI using the balanced sparse model.
Ting ST; Ahmad R; Jin N; Craft J; Serafim da Silveira J; Xue H; Simonetti OP
Magn Reson Med; 2017 Apr; 77(4):1505-1515. PubMed ID: 27059406
[TBL] [Abstract][Full Text] [Related]
14. DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
Yang G; Yu S; Dong H; Slabaugh G; Dragotti PL; Ye X; Liu F; Arridge S; Keegan J; Guo Y; Firmin D; Keegan J; Slabaugh G; Arridge S; Ye X; Guo Y; Yu S; Liu F; Firmin D; Dragotti PL; Yang G; Dong H
IEEE Trans Med Imaging; 2018 Jun; 37(6):1310-1321. PubMed ID: 29870361
[TBL] [Abstract][Full Text] [Related]
15. Pseudo-random center placement O-space imaging for improved incoherence compressed sensing parallel MRI.
Tam LK; Galiana G; Stockmann JP; Tagare H; Peters DC; Constable RT
Magn Reson Med; 2015 Jun; 73(6):2212-24. PubMed ID: 25042143
[TBL] [Abstract][Full Text] [Related]
16. Adaptive k-space sampling design for edge-enhanced DCE-MRI using compressed sensing.
Raja R; Sinha N
Magn Reson Imaging; 2014 Sep; 32(7):899-912. PubMed ID: 24848294
[TBL] [Abstract][Full Text] [Related]
17. A novel 3D Cartesian random sampling strategy for Compressive Sensing Magnetic Resonance Imaging.
Valvano G; Martini N; Santarelli MF; Chiappino D; Landini L
Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7502-5. PubMed ID: 26738027
[TBL] [Abstract][Full Text] [Related]
18. Accelerating image reconstruction for multi-contrast MRI based on Y-Net3.
Cai X; Hou X; Sun R; Chang X; Zhu H; Jia S; Nie S
J Xray Sci Technol; 2023; 31(4):797-810. PubMed ID: 37248943
[TBL] [Abstract][Full Text] [Related]
19. Motion correction based reconstruction method for compressively sampled cardiac MR imaging.
Ahmed AH; Qureshi IM; Shah JA; Zaheer M
Magn Reson Imaging; 2017 Feb; 36():159-166. PubMed ID: 27746392
[TBL] [Abstract][Full Text] [Related]
20. Basic study of random sampling for compressed sensing using MRI simulator.
Hori K; Hashimoto T; Kuhara S
Hell J Nucl Med; 2019; 22 Suppl 2():141. PubMed ID: 31802054
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
