170 related articles for article (PubMed ID: 38241726)
1. High-resolution MRI synthesis using a data-driven framework with denoising diffusion probabilistic modeling.
Chang CW; Peng J; Safari M; Salari E; Pan S; Roper J; Qiu RLJ; Gao Y; Shu HK; Mao H; Yang X
Phys Med Biol; 2024 Feb; 69(4):. PubMed ID: 38241726
[No Abstract] [Full Text] [Related]
2. Synthesizing high-resolution magnetic resonance imaging using parallel cycle-consistent generative adversarial networks for fast magnetic resonance imaging.
Xie H; Lei Y; Wang T; Roper J; Dhabaan AH; Bradley JD; Liu T; Mao H; Yang X
Med Phys; 2022 Jan; 49(1):357-369. PubMed ID: 34821395
[TBL] [Abstract][Full Text] [Related]
3. A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images.
Zhao M; Wei Y; Wong KKL
Magn Reson Imaging; 2022 Jan; 85():153-160. PubMed ID: 34699953
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network.
Cui J; Gong K; Han P; Liu H; Li Q
Med Phys; 2022 Apr; 49(4):2373-2385. PubMed ID: 35048390
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Synthetic CT generation from MRI using 3D transformer-based denoising diffusion model.
Pan S; Abouei E; Wynne J; Chang CW; Wang T; Qiu RLJ; Li Y; Peng J; Roper J; Patel P; Yu DS; Mao H; Yang X
Med Phys; 2024 Apr; 51(4):2538-2548. PubMed ID: 38011588
[TBL] [Abstract][Full Text] [Related]
7. Self-supervised structural similarity-based convolutional neural network for cardiac diffusion tensor image denoising.
Yuan N; Wang L; Ye C; Deng Z; Zhang J; Zhu Y
Med Phys; 2023 Oct; 50(10):6137-6150. PubMed ID: 36775901
[TBL] [Abstract][Full Text] [Related]
8. PET image denoising based on denoising diffusion probabilistic model.
Gong K; Johnson K; El Fakhri G; Li Q; Pan T
Eur J Nucl Med Mol Imaging; 2024 Jan; 51(2):358-368. PubMed ID: 37787849
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation.
Ma X; Uğurbil K; Wu X
Neuroimage; 2020 Jul; 215():116852. PubMed ID: 32305566
[TBL] [Abstract][Full Text] [Related]
11. Generative adversarial network-based super-resolution of diffusion-weighted imaging: Application to tumour radiomics in breast cancer.
Fan M; Liu Z; Xu M; Wang S; Zeng T; Gao X; Li L
NMR Biomed; 2020 Aug; 33(8):e4345. PubMed ID: 32521567
[TBL] [Abstract][Full Text] [Related]
12. Multimodal MRI synthesis using unified generative adversarial networks.
Dai X; Lei Y; Fu Y; Curran WJ; Liu T; Mao H; Yang X
Med Phys; 2020 Dec; 47(12):6343-6354. PubMed ID: 33053202
[TBL] [Abstract][Full Text] [Related]
13. A novel hybrid generative adversarial network for CT and MRI super-resolution reconstruction.
Xiao Y; Chen C; Wang L; Yu J; Fu X; Zou Y; Lin Z; Wang K
Phys Med Biol; 2023 Jun; 68(13):. PubMed ID: 37285848
[No Abstract] [Full Text] [Related]
14. Multi-sequence MR image-based synthetic CT generation using a generative adversarial network for head and neck MRI-only radiotherapy.
Qi M; Li Y; Wu A; Jia Q; Li B; Sun W; Dai Z; Lu X; Zhou L; Deng X; Song T
Med Phys; 2020 Apr; 47(4):1880-1894. PubMed ID: 32027027
[TBL] [Abstract][Full Text] [Related]
15. Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field images.
Islam KT; Zhong S; Zakavi P; Chen Z; Kavnoudias H; Farquharson S; Durbridge G; Barth M; McMahon KL; Parizel PM; Dwyer A; Egan GF; Law M; Chen Z
Sci Rep; 2023 Dec; 13(1):21183. PubMed ID: 38040835
[TBL] [Abstract][Full Text] [Related]
16. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Discrete residual diffusion model for high-resolution prostate MRI synthesis.
Han Z; Huang W
Phys Med Biol; 2024 Feb; 69(5):. PubMed ID: 38271725
[No Abstract] [Full Text] [Related]
19. MRI motion artifact reduction using a conditional diffusion probabilistic model (MAR-CDPM).
Safari M; Yang X; Fatemi A; Archambault L
Med Phys; 2024 Apr; 51(4):2598-2610. PubMed ID: 38009583
[TBL] [Abstract][Full Text] [Related]
20. SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.
Tian Q; Li Z; Fan Q; Polimeni JR; Bilgic B; Salat DH; Huang SY
Neuroimage; 2022 Jun; 253():119033. PubMed ID: 35240299
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]