134 related articles for article (PubMed ID: 37171919)
1. Contrastive Adversarial Learning for Endomicroscopy Imaging Super-Resolution.
Zhang C; Gu Y; Yang GZ
IEEE J Biomed Health Inform; 2023 Aug; 27(8):3994-4005. PubMed ID: 37171919
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.
Ravì D; Szczotka AB; Pereira SP; Vercauteren T
Med Image Anal; 2019 Apr; 53():123-131. PubMed ID: 30769327
[TBL] [Abstract][Full Text] [Related]
4. MRI super-resolution via realistic downsampling with adversarial learning.
Huang B; Xiao H; Liu W; Zhang Y; Wu H; Wang W; Yang Y; Yang Y; Miller GW; Li T; Cai J
Phys Med Biol; 2021 Oct; 66(20):. PubMed ID: 34474407
[TBL] [Abstract][Full Text] [Related]
5. Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy.
Szczotka AB; Shakir DI; Clarkson MJ; Pereira SP; Vercauteren T
IEEE Trans Med Imaging; 2021 Jul; 40(7):1863-1874. PubMed ID: 33739921
[TBL] [Abstract][Full Text] [Related]
6. Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.
Ravì D; Szczotka AB; Shakir DI; Pereira SP; Vercauteren T
Int J Comput Assist Radiol Surg; 2018 Jun; 13(6):917-924. PubMed ID: 29687176
[TBL] [Abstract][Full Text] [Related]
7. SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.
Zheng T; Oda H; Hayashi Y; Nakamura S; Mori M; Takabatake H; Natori H; Oda M; Mori K
Int J Comput Assist Radiol Surg; 2024 Mar; 19(3):493-506. PubMed ID: 38129364
[TBL] [Abstract][Full Text] [Related]
8. Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution.
Liu Z; Zheng Y; Han XH
Sensors (Basel); 2021 Mar; 21(7):. PubMed ID: 33800532
[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. Semi-supervised super-resolution of diffusion-weighted images based on multiple references.
Guo H; Wang L; Gu Y; Zhang J; Zhu Y
NMR Biomed; 2023 Aug; 36(8):e4919. PubMed ID: 36908072
[TBL] [Abstract][Full Text] [Related]
11. Enhanced image prior for unsupervised remoting sensing super-resolution.
Wang J; Shao Z; Huang X; Lu T; Zhang R; Ma J
Neural Netw; 2021 Nov; 143():400-412. PubMed ID: 34237613
[TBL] [Abstract][Full Text] [Related]
12. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
13. Super resolution-based methodology for self-supervised segmentation of microscopy images.
Bommanapally V; Abeyrathna D; Chundi P; Subramaniam M
Front Microbiol; 2024; 15():1255850. PubMed ID: 38533330
[TBL] [Abstract][Full Text] [Related]
14. Med-SRNet: GAN-Based Medical Image Super-Resolution via High-Resolution Representation Learning.
Zhang L; Dai H; Sang Y
Comput Intell Neurosci; 2022; 2022():1744969. PubMed ID: 35747717
[TBL] [Abstract][Full Text] [Related]
15. Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.
Szczotka AB; Shakir DI; Ravì D; Clarkson MJ; Pereira SP; Vercauteren T
Int J Comput Assist Radiol Surg; 2020 Jul; 15(7):1167-1175. PubMed ID: 32415459
[TBL] [Abstract][Full Text] [Related]
16. A Residual Dense Attention Generative Adversarial Network for Microscopic Image Super-Resolution.
Liu S; Weng X; Gao X; Xu X; Zhou L
Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894350
[TBL] [Abstract][Full Text] [Related]
17. RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank.
Zhang W; Liu Y; Dong C; Qiao Y
IEEE Trans Pattern Anal Mach Intell; 2022 Oct; 44(10):7149-7166. PubMed ID: 34310284
[TBL] [Abstract][Full Text] [Related]
18. Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution.
Hou H; Xu J; Hou Y; Hu X; Wei B; Shen D
IEEE Trans Image Process; 2023 Feb; PP():. PubMed ID: 37022430
[TBL] [Abstract][Full Text] [Related]
19. Super-resolution of brain tumor MRI images based on deep learning.
Zhou Z; Ma A; Feng Q; Wang R; Cheng L; Chen X; Yang X; Liao K; Miao Y; Qiu Y
J Appl Clin Med Phys; 2022 Nov; 23(11):e13758. PubMed ID: 36107021
[TBL] [Abstract][Full Text] [Related]
20. Word self-update contrastive adversarial networks for text-to-image synthesis.
Xiao J; Sun Y; Bi X
Neural Netw; 2023 Oct; 167():433-444. PubMed ID: 37673029
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
