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.
389 related articles for article (PubMed ID: 34052771)
1. Projection-Based cascaded U-Net model for MR image reconstruction. Aghabiglou A; Eksioglu EM Comput Methods Programs Biomed; 2021 Aug; 207():106151. PubMed ID: 34052771 [TBL] [Abstract][Full Text] [Related]
2. A k-space-to-image reconstruction network for MRI using recurrent neural network. Oh C; Kim D; Chung JY; Han Y; Park H Med Phys; 2021 Jan; 48(1):193-203. PubMed ID: 33128235 [TBL] [Abstract][Full Text] [Related]
3. A cross-domain complex convolution neural network for undersampled magnetic resonance image reconstruction. Yuan T; Yang J; Chi J; Yu T; Liu F Magn Reson Imaging; 2024 May; 108():86-97. PubMed ID: 38331053 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. DBGAN: A dual-branch generative adversarial network for undersampled MRI reconstruction. Liu X; Du H; Xu J; Qiu B Magn Reson Imaging; 2022 Jun; 89():77-91. PubMed ID: 35339616 [TBL] [Abstract][Full Text] [Related]
7. A Deep Learning Framework for Cardiac MR Under-Sampled Image Reconstruction with a Hybrid Spatial and Al-Haidri W; Matveev I; Al-Antari MA; Zubkov M Diagnostics (Basel); 2023 Mar; 13(6):. PubMed ID: 36980428 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Dual-domain reconstruction network with V-Net and K-Net for fast MRI. Liu X; Pang Y; Jin R; Liu Y; Wang Z Magn Reson Med; 2022 Dec; 88(6):2694-2708. PubMed ID: 35942977 [TBL] [Abstract][Full Text] [Related]
11. Data-efficient Bayesian learning for radial dynamic MR reconstruction. Brahma S; Kolbitsch C; Martin J; Schaeffter T; Kofler A Med Phys; 2023 Nov; 50(11):6955-6977. PubMed ID: 37367947 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method. Jun Y; Shin H; Eo T; Kim T; Hwang D Med Image Anal; 2021 May; 70():102017. PubMed ID: 33721693 [TBL] [Abstract][Full Text] [Related]
14. Reconstruction of multicontrast MR images through deep learning. Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314 [TBL] [Abstract][Full Text] [Related]
15. Deep supervised dictionary learning by algorithm unrolling-Application to fast 2D dynamic MR image reconstruction. Kofler A; Pali MC; Schaeffter T; Kolbitsch C Med Phys; 2023 May; 50(5):2939-2960. PubMed ID: 36565150 [TBL] [Abstract][Full Text] [Related]
16. MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model. Chun J; Zhang H; Gach HM; Olberg S; Mazur T; Green O; Kim T; Kim H; Kim JS; Mutic S; Park JC Med Phys; 2019 Sep; 46(9):4148-4164. PubMed ID: 31309585 [TBL] [Abstract][Full Text] [Related]
17. HFIST-Net: High-throughput fast iterative shrinkage thresholding network for accelerating MR image reconstruction. Geng C; Jiang M; Fang X; Li Y; Jin G; Chen A; Liu F Comput Methods Programs Biomed; 2023 Apr; 232():107440. PubMed ID: 36881983 [TBL] [Abstract][Full Text] [Related]
18. Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray computed tomography. Gong H; Ren L; Hsieh SS; McCollough CH; Yu L Med Phys; 2021 Oct; 48(10):5712-5726. PubMed ID: 34415068 [TBL] [Abstract][Full Text] [Related]
19. HIWDNet: A hybrid image-wavelet domain network for fast magnetic resonance image reconstruction. Tong C; Pang Y; Wang Y Comput Biol Med; 2022 Dec; 151(Pt A):105947. PubMed ID: 36334363 [TBL] [Abstract][Full Text] [Related]
20. VTDCE-Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data. Rastogi A; Dutta A; Yalavarthy PK Med Phys; 2023 Mar; 50(3):1560-1572. PubMed ID: 36354289 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]