428 related articles for article (PubMed ID: 37285848)
1. 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]
2. MRI super-resolution using similarity distance and multi-scale receptive field based feature fusion GAN and pre-trained slice interpolation network.
U N; P M A
Magn Reson Imaging; 2024 Jul; 110():195-209. PubMed ID: 38653336
[TBL] [Abstract][Full Text] [Related]
3. Super-Resolution Reconstruction of CT Images Based on Multi-scale Information Fused Generative Adversarial Networks.
Liu X; Su S; Gu W; Yao T; Shen J; Mo Y
Ann Biomed Eng; 2024 Jan; 52(1):57-70. PubMed ID: 38064116
[TBL] [Abstract][Full Text] [Related]
4. Fast single image super-resolution using estimated low-frequency k-space data in MRI.
Luo J; Mou Z; Qin B; Li W; Yang F; Robini M; Zhu Y
Magn Reson Imaging; 2017 Jul; 40():1-11. PubMed ID: 28366758
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks.
Zhao M; Liu X; Liu H; Wong KKL
Comput Med Imaging Graph; 2020 Mar; 80():101698. PubMed ID: 31935666
[TBL] [Abstract][Full Text] [Related]
7. A hybrid convolutional neural network for super-resolution reconstruction of MR images.
Zheng Y; Zhen B; Chen A; Qi F; Hao X; Qiu B
Med Phys; 2020 Jul; 47(7):3013-3022. PubMed ID: 32201956
[TBL] [Abstract][Full Text] [Related]
8. Deep learning in computed tomography super resolution using multi-modality data training.
Fok WYR; Fieselmann A; Herbst M; Ritschl L; Kappler S; Saalfeld S
Med Phys; 2024 Apr; 51(4):2846-2860. PubMed ID: 37972365
[TBL] [Abstract][Full Text] [Related]
9. Super-resolution of Pneumocystis carinii pneumonia CT via self-attention GAN.
Xie H; Zhang T; Song W; Wang S; Zhu H; Zhang R; Zhang W; Yu Y; Zhao Y
Comput Methods Programs Biomed; 2021 Nov; 212():106467. PubMed ID: 34715519
[TBL] [Abstract][Full Text] [Related]
10. [Medical image super-resolution reconstruction via multi-scale information distillation network under multi-scale geometric transform domain].
Wang H; Sun T
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Oct; 39(5):887-896. PubMed ID: 36310477
[TBL] [Abstract][Full Text] [Related]
11. Texture transformer super-resolution for low-dose computed tomography.
Zhou S; Yu L; Jin M
Biomed Phys Eng Express; 2022 Nov; 8(6):. PubMed ID: 36301699
[TBL] [Abstract][Full Text] [Related]
12. Clinical ultra-high resolution CT scans enabled by using a generative adversarial network.
Sun Y; Pan B; Li Q; Wang J; Wang X; Chen H; Cao Q; Liu H; Feng T; Sun H; Xiao Y; Gong NJ
Med Phys; 2023 Jun; 50(6):3612-3622. PubMed ID: 36542389
[TBL] [Abstract][Full Text] [Related]
13. Dual U-Net residual networks for cardiac magnetic resonance images super-resolution.
Qiu D; Cheng Y; Wang X
Comput Methods Programs Biomed; 2022 May; 218():106707. PubMed ID: 35255374
[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. 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]
16. Cross-modality image translation: CT image synthesis of MR brain images using multi generative network with perceptual supervision.
Gu X; Zhang Y; Zeng W; Zhong S; Wang H; Liang D; Li Z; Hu Z
Comput Methods Programs Biomed; 2023 Jul; 237():107571. PubMed ID: 37156020
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. FNSAM: Image super-resolution using a feedback network with self-attention mechanism.
Huang Y; Wang W; Li M
Technol Health Care; 2023; 31(S1):383-395. PubMed ID: 37066938
[TBL] [Abstract][Full Text] [Related]
20. FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution.
Jiang M; Zhi M; Wei L; Yang X; Zhang J; Li Y; Wang P; Huang J; Yang G
Comput Med Imaging Graph; 2021 Sep; 92():101969. PubMed ID: 34411966
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
