286 related articles for article (PubMed ID: 31113438)
1. Retinal image synthesis from multiple-landmarks input with generative adversarial networks.
Yu Z; Xiang Q; Meng J; Kou C; Ren Q; Lu Y
Biomed Eng Online; 2019 May; 18(1):62. PubMed ID: 31113438
[TBL] [Abstract][Full Text] [Related]
2. 3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
Wang Y; Yu B; Wang L; Zu C; Lalush DS; Lin W; Wu X; Zhou J; Shen D; Zhou L
Neuroimage; 2018 Jul; 174():550-562. PubMed ID: 29571715
[TBL] [Abstract][Full Text] [Related]
3. Deepfakes in Ophthalmology: Applications and Realism of Synthetic Retinal Images from Generative Adversarial Networks.
Chen JS; Coyner AS; Chan RVP; Hartnett ME; Moshfeghi DM; Owen LA; Kalpathy-Cramer J; Chiang MF; Campbell JP
Ophthalmol Sci; 2021 Dec; 1(4):100079. PubMed ID: 36246951
[TBL] [Abstract][Full Text] [Related]
4. Lesion-aware generative adversarial networks for color fundus image to fundus fluorescein angiography translation.
Huang K; Li M; Yu J; Miao J; Hu Z; Yuan S; Chen Q
Comput Methods Programs Biomed; 2023 Feb; 229():107306. PubMed ID: 36580822
[TBL] [Abstract][Full Text] [Related]
5. Perception-oriented generative adversarial network for retinal fundus image super-resolution.
Zhao L; Chi H; Zhong T; Jia Y
Comput Biol Med; 2024 Jan; 168():107708. PubMed ID: 37995535
[TBL] [Abstract][Full Text] [Related]
6. ROP-GAN: an image synthesis method for retinopathy of prematurity based on generative adversarial network.
Hou N; Shi J; Ding X; Nie C; Wang C; Wan J
Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37619572
[No Abstract] [Full Text] [Related]
7. A GAN-based image synthesis method for skin lesion classification.
Qin Z; Liu Z; Zhu P; Xue Y
Comput Methods Programs Biomed; 2020 Oct; 195():105568. PubMed ID: 32526536
[TBL] [Abstract][Full Text] [Related]
8. Joint conditional generative adversarial networks for eyelash artifact removal in ultra-wide-field fundus images.
Zhang J; Sha D; Ma Y; Zhang D; Tan T; Xu X; Yi Q; Zhao Y
Front Cell Dev Biol; 2023; 11():1181305. PubMed ID: 37215081
[No Abstract] [Full Text] [Related]
9. Synthesizing multi-frame high-resolution fluorescein angiography images from retinal fundus images using generative adversarial networks.
Li P; He Y; Wang P; Wang J; Shi G; Chen Y
Biomed Eng Online; 2023 Feb; 22(1):16. PubMed ID: 36810105
[TBL] [Abstract][Full Text] [Related]
10. Generative adversarial networks with decoder-encoder output noises.
Zhong G; Gao W; Liu Y; Yang Y; Wang DH; Huang K
Neural Netw; 2020 Jul; 127():19-28. PubMed ID: 32315932
[TBL] [Abstract][Full Text] [Related]
11. Synthesizing realistic high-resolution retina image by style-based generative adversarial network and its utilization.
Kim M; Kim YN; Jang M; Hwang J; Kim HK; Yoon SC; Kim YJ; Kim N
Sci Rep; 2022 Oct; 12(1):17307. PubMed ID: 36243746
[TBL] [Abstract][Full Text] [Related]
12. Generative Adversarial Networks in Medical Image Processing.
Gong M; Chen S; Chen Q; Zeng Y; Zhang Y
Curr Pharm Des; 2021; 27(15):1856-1868. PubMed ID: 33238866
[TBL] [Abstract][Full Text] [Related]
13. Image super-resolution using progressive generative adversarial networks for medical image analysis.
Mahapatra D; Bozorgtabar B; Garnavi R
Comput Med Imaging Graph; 2019 Jan; 71():30-39. PubMed ID: 30472408
[TBL] [Abstract][Full Text] [Related]
14. Exploration of Semantic Label Decomposition and Dataset Size in Semantic Indoor Scenes Synthesis via Optimized Residual Generative Adversarial Networks.
Ibrahem H; Salem A; Kang HS
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36366007
[TBL] [Abstract][Full Text] [Related]
15. RF-GANs: A Method to Synthesize Retinal Fundus Images Based on Generative Adversarial Network.
Chen Y; Long J; Guo J
Comput Intell Neurosci; 2021; 2021():3812865. PubMed ID: 34804140
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Fundus GAN - GAN-based Fundus Image Synthesis for Training Retinal Image Classifiers.
Shenkut D; Bhagavatula V
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():2185-2189. PubMed ID: 36086632
[TBL] [Abstract][Full Text] [Related]
18. Active Cell Appearance Model Induced Generative Adversarial Networks for Annotation-Efficient Cell Segmentation and Identification on Adaptive Optics Retinal Images.
Liu J; Shen C; Aguilera N; Cukras C; Hufnagel RB; Zein WM; Liu T; Tam J
IEEE Trans Med Imaging; 2021 Oct; 40(10):2820-2831. PubMed ID: 33507868
[TBL] [Abstract][Full Text] [Related]
19. Generative Adversarial Networks: A Primer for Radiologists.
Wolterink JM; Mukhopadhyay A; Leiner T; Vogl TJ; Bucher AM; Išgum I
Radiographics; 2021; 41(3):840-857. PubMed ID: 33891522
[TBL] [Abstract][Full Text] [Related]
20. SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.
Bargsten L; Schlaefer A
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1427-1436. PubMed ID: 32556953
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
