312 related articles for article (PubMed ID: 30040634)
1. 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]
2. 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]
3. Wasserstein GANs for MR Imaging: From Paired to Unpaired Training.
Lei K; Mardani M; Pauly JM; Vasanawala SS
IEEE Trans Med Imaging; 2021 Jan; 40(1):105-115. PubMed ID: 32915728
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Paired conditional generative adversarial network for highly accelerated liver 4D MRI.
Xu D; Miao X; Liu H; Scholey JE; Yang W; Feng M; Ohliger M; Lin H; Lao Y; Yang Y; Sheng K
Phys Med Biol; 2024 Jun; 69(12):. PubMed ID: 38838679
[No Abstract] [Full Text] [Related]
6. 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]
7. 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]
8. Rapid reconstruction of highly undersampled, non-Cartesian real-time cine k-space data using a perceptual complex neural network (PCNN).
Shen D; Ghosh S; Haji-Valizadeh H; Pathrose A; Schiffers F; Lee DC; Freed BH; Markl M; Cossairt OS; Katsaggelos AK; Kim D
NMR Biomed; 2021 Jan; 34(1):e4405. PubMed ID: 32875668
[TBL] [Abstract][Full Text] [Related]
9. Enhancing quality and speed in database-free neural network reconstructions of undersampled MRI with SCAMPI.
Siedler TM; Jakob PM; Herold V
Magn Reson Med; 2024 Sep; 92(3):1232-1247. PubMed ID: 38748852
[TBL] [Abstract][Full Text] [Related]
10. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network.
Selvi T K; Sumaiya Begum A; Poonkuzhali P; Aarthi R
Electromagn Biol Med; 2024 Apr; 43(1-2):81-94. PubMed ID: 38461438
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Undersampled MR image reconstruction using an enhanced recursive residual network.
Bao L; Ye F; Cai C; Wu J; Zeng K; van Zijl PCM; Chen Z
J Magn Reson; 2019 Aug; 305():232-246. PubMed ID: 31323504
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
Johnson PM; Drangova M
Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
[TBL] [Abstract][Full Text] [Related]
15. Improving resolution of MR images with an adversarial network incorporating images with different contrast.
Kim KH; Do WJ; Park SH
Med Phys; 2018 Jul; 45(7):3120-3131. PubMed ID: 29729006
[TBL] [Abstract][Full Text] [Related]
16. High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN).
Li Z; Tian Q; Ngamsombat C; Cartmell S; Conklin J; Filho ALMG; Lo WC; Wang G; Ying K; Setsompop K; Fan Q; Bilgic B; Cauley S; Huang SY
Med Phys; 2022 Feb; 49(2):1000-1014. PubMed ID: 34961944
[TBL] [Abstract][Full Text] [Related]
17. High-performance rapid MR parameter mapping using model-based deep adversarial learning.
Liu F; Kijowski R; Feng L; El Fakhri G
Magn Reson Imaging; 2020 Dec; 74():152-160. PubMed ID: 32980503
[TBL] [Abstract][Full Text] [Related]
18. [CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement].
Liu Y; Li J; Wang Y; Cai W; Chen F; Liu W; Mao X; Gan K; Wang R; Sun D; Qiu H; Liu B
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Apr; 40(2):208-216. PubMed ID: 37139750
[TBL] [Abstract][Full Text] [Related]
19. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
Tong N; Gou S; Yang S; Cao M; Sheng K
Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
[TBL] [Abstract][Full Text] [Related]
20. PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction.
Lv J; Wang C; Yang G
Diagnostics (Basel); 2021 Jan; 11(1):. PubMed ID: 33401777
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]