These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
168 related articles for article (PubMed ID: 35649172)
1. Accelerating multi-echo chemical shift encoded water-fat MRI using model-guided deep learning. Li S; Shen C; Ding Z; She H; Du YP Magn Reson Med; 2022 Oct; 88(4):1851-1866. PubMed ID: 35649172 [TBL] [Abstract][Full Text] [Related]
2. Accelerated four-dimensional free-breathing whole-liver water-fat magnetic resonance imaging with deep dictionary learning and chemical shift modeling. Li S; Wang Z; Ding Z; She H; Du YP Quant Imaging Med Surg; 2024 Apr; 14(4):2884-2903. PubMed ID: 38617145 [TBL] [Abstract][Full Text] [Related]
3. Compressed sensing for chemical shift-based water-fat separation. Doneva M; Börnert P; Eggers H; Mertins A; Pauly J; Lustig M Magn Reson Med; 2010 Dec; 64(6):1749-59. PubMed ID: 20859998 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Deep compressed sensing MRI via a gradient-enhanced fusion model. Dai Y; Wang C; Wang H Med Phys; 2023 Mar; 50(3):1390-1405. PubMed ID: 36695158 [TBL] [Abstract][Full Text] [Related]
6. An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction. Oh C; Chung JY; Han Y Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236376 [TBL] [Abstract][Full Text] [Related]
7. Reconstruction of Compressed-sensing MR Imaging Using Deep Residual Learning in the Image Domain. Ouchi S; Ito S Magn Reson Med Sci; 2021 Jun; 20(2):190-203. PubMed ID: 32611937 [TBL] [Abstract][Full Text] [Related]
8. Ultrafast water-fat separation using deep learning-based single-shot MRI. Chen X; Wang W; Huang J; Wu J; Chen L; Cai C; Cai S; Chen Z Magn Reson Med; 2022 Jun; 87(6):2811-2825. PubMed ID: 35099082 [TBL] [Abstract][Full Text] [Related]
9. A cascade of preconditioned conjugate gradient networks for accelerated magnetic resonance imaging. Kim M; Chung W Comput Methods Programs Biomed; 2022 Oct; 225():107090. PubMed ID: 36067702 [TBL] [Abstract][Full Text] [Related]
10. Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction. Gao Y; Cloos M; Liu F; Crozier S; Pike GB; Sun H Neuroimage; 2021 Oct; 240():118404. PubMed ID: 34280526 [TBL] [Abstract][Full Text] [Related]
11. Uncertainty-aware physics-driven deep learning network for free-breathing liver fat and R Shih SF; Kafali SG; Calkins KL; Wu HH Magn Reson Med; 2023 Apr; 89(4):1567-1585. PubMed ID: 36426730 [TBL] [Abstract][Full Text] [Related]
12. MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping. Liu F; Feng L; Kijowski R Magn Reson Med; 2019 Jul; 82(1):174-188. PubMed ID: 30860285 [TBL] [Abstract][Full Text] [Related]
13. Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction. Eo T; Shin H; Jun Y; Kim T; Hwang D Med Image Anal; 2020 Jul; 63():101689. PubMed ID: 32299061 [TBL] [Abstract][Full Text] [Related]
14. ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data. Chatterjee S; Breitkopf M; Sarasaen C; Yassin H; Rose G; Nürnberger A; Speck O Comput Biol Med; 2022 Apr; 143():105321. PubMed ID: 35219188 [TBL] [Abstract][Full Text] [Related]
15. Comparison of iterative parametric and indirect deep learning-based reconstruction methods in highly undersampled DCE-MR Imaging of the breast. Rastogi A; Yalavarthy PK Med Phys; 2020 Oct; 47(10):4838-4861. PubMed ID: 32780871 [TBL] [Abstract][Full Text] [Related]
16. Deep neural network inspired by iterative shrinkage-thresholding algorithm with data consistency (NISTAD) for fast Undersampled MRI reconstruction. Qiu W; Li D; Jin X; Liu F; Sun B Magn Reson Imaging; 2020 Jul; 70():134-144. PubMed ID: 32353530 [TBL] [Abstract][Full Text] [Related]
17. KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance images. Eo T; Jun Y; Kim T; Jang J; Lee HJ; Hwang D Magn Reson Med; 2018 Nov; 80(5):2188-2201. PubMed ID: 29624729 [TBL] [Abstract][Full Text] [Related]
18. SpiNet: A deep neural network for Schatten p-norm regularized medical image reconstruction. Rastogi A; Yalavarthy PK Med Phys; 2021 May; 48(5):2214-2229. PubMed ID: 33525049 [TBL] [Abstract][Full Text] [Related]
19. Accelerated radial echo-planar spectroscopic imaging using golden angle view-ordering and compressed-sensing reconstruction with total variation regularization. Saucedo A; Macey PM; Thomas MA Magn Reson Med; 2021 Jul; 86(1):46-61. PubMed ID: 33604944 [TBL] [Abstract][Full Text] [Related]
20. IKWI-net: A cross-domain convolutional neural network for undersampled magnetic resonance image reconstruction. Wang Z; Jiang H; Du H; Xu J; Qiu B Magn Reson Imaging; 2020 Nov; 73():1-10. PubMed ID: 32730848 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]