569 related articles for article (PubMed ID: 29870361)
1. 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]
2. Which GAN? A comparative study of generative adversarial network-based fast MRI reconstruction.
Lv J; Zhu J; Yang G
Philos Trans A Math Phys Eng Sci; 2021 Jun; 379(2200):20200203. PubMed ID: 33966462
[TBL] [Abstract][Full Text] [Related]
3. Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss.
Quan TM; Nguyen-Duc T; Jeong WK
IEEE Trans Med Imaging; 2018 Jun; 37(6):1488-1497. PubMed ID: 29870376
[TBL] [Abstract][Full Text] [Related]
4. Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.
Mardani M; Gong E; Cheng JY; Vasanawala SS; Zaharchuk G; Xing L; Pauly JM
IEEE Trans Med Imaging; 2019 Jan; 38(1):167-179. PubMed ID: 30040634
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Pseudo-Polar Fourier Transform-Based Compressed Sensing MRI.
Yang Y; Liu F; Li M; Jin J; Weber E; Liu Q; Crozier S
IEEE Trans Biomed Eng; 2017 Apr; 64(4):816-825. PubMed ID: 27305666
[TBL] [Abstract][Full Text] [Related]
7. Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction.
Njeh I; Mzoughi H; Ben Slima M; Ben Hamida A; Mhiri C; Ben Mahfoudh K
Med Biol Eng Comput; 2021 Jan; 59(1):85-106. PubMed ID: 33231848
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks.
Lee D; Yoo J; Tak S; Ye JC
IEEE Trans Biomed Eng; 2018 Sep; 65(9):1985-1995. PubMed ID: 29993390
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Temporally aware volumetric generative adversarial network-based MR image reconstruction with simultaneous respiratory motion compensation: Initial feasibility in 3D dynamic cine cardiac MRI.
Ghodrati V; Bydder M; Bedayat A; Prosper A; Yoshida T; Nguyen KL; Finn JP; Hu P
Magn Reson Med; 2021 Nov; 86(5):2666-2683. PubMed ID: 34254363
[TBL] [Abstract][Full Text] [Related]
12. A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction.
Sun L; Fan Z; Fu X; Huang Y; Ding X; Paisley J
IEEE Trans Image Process; 2019 Dec; 28(12):6141-6153. PubMed ID: 31295112
[TBL] [Abstract][Full Text] [Related]
13. Compressed sensing MRI reconstruction from 3D multichannel data using GPUs.
Chang CH; Yu X; Ji JX
Magn Reson Med; 2017 Dec; 78(6):2265-2274. PubMed ID: 28198568
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
Yuan Z; Jiang M; Wang Y; Wei B; Li Y; Wang P; Menpes-Smith W; Niu Z; Yang G
Front Neuroinform; 2020; 14():611666. PubMed ID: 33324189
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI.
Gao Z; Guo Y; Zhang J; Zeng T; Yang G
IEEE Trans Med Imaging; 2023 Jun; 42(6):1859-1874. PubMed ID: 37022266
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. High quality and fast compressed sensing MRI reconstruction via edge-enhanced dual discriminator generative adversarial network.
Li Y; Li J; Ma F; Du S; Liu Y
Magn Reson Imaging; 2021 Apr; 77():124-136. PubMed ID: 33359427
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
