229 related articles for article (PubMed ID: 35496996)
1. Applications of game theory in deep learning: a survey.
Hazra T; Anjaria K
Multimed Tools Appl; 2022; 81(6):8963-8994. PubMed ID: 35496996
[TBL] [Abstract][Full Text] [Related]
2. Generative Adversarial Network Technologies and Applications in Computer Vision.
Jin L; Tan F; Jiang S
Comput Intell Neurosci; 2020; 2020():1459107. PubMed ID: 32802024
[TBL] [Abstract][Full Text] [Related]
3. Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis.
Saeed AQ; Sheikh Abdullah SNH; Che-Hamzah J; Abdul Ghani AT
J Med Internet Res; 2021 Sep; 23(9):e27414. PubMed ID: 34236992
[TBL] [Abstract][Full Text] [Related]
4. Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review.
Ali H; Shah Z
JMIR Med Inform; 2022 Jun; 10(6):e37365. PubMed ID: 35709336
[TBL] [Abstract][Full Text] [Related]
5. Deep Learning Meets Game Theory: Bregman-Based Algorithms for Interactive Deep Generative Adversarial Networks.
Tembine H
IEEE Trans Cybern; 2020 Mar; 50(3):1132-1145. PubMed ID: 30605115
[TBL] [Abstract][Full Text] [Related]
6. A fusion of deep neural networks and game theory for retinal disease diagnosis with OCT images.
Vishnu Priyan S; Vinod Kumar R; Moorthy C; Nishok VS
J Xray Sci Technol; 2024 May; ():. PubMed ID: 38759091
[TBL] [Abstract][Full Text] [Related]
7. The Advent of Generative Chemistry.
Vanhaelen Q; Lin YC; Zhavoronkov A
ACS Med Chem Lett; 2020 Aug; 11(8):1496-1505. PubMed ID: 32832015
[TBL] [Abstract][Full Text] [Related]
8. A comprehensive review of deep learning-based single image super-resolution.
Bashir SMA; Wang Y; Khan M; Niu Y
PeerJ Comput Sci; 2021; 7():e621. PubMed ID: 34322592
[TBL] [Abstract][Full Text] [Related]
9. GANViz: A Visual Analytics Approach to Understand the Adversarial Game.
Wang J; Gou L; Yang H; Shen HW
IEEE Trans Vis Comput Graph; 2018 Jun; 24(6):1905-1917. PubMed ID: 29723140
[TBL] [Abstract][Full Text] [Related]
10. Generative Adversarial Networks: A Primer for Radiologists.
Wolterink JM; Mukhopadhyay A; Leiner T; Vogl TJ; Bucher AM; IĆĄgum I
Radiographics; 2021; 41(3):840-857. PubMed ID: 33891522
[TBL] [Abstract][Full Text] [Related]
11. n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications.
Gupta M; Sharma B; Tripathi A; Singh S; Bhola A; Singh R; Dwivedi AD
Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336591
[TBL] [Abstract][Full Text] [Related]
12. Parallel Connected Generative Adversarial Network with Quadratic Operation for SAR Image Generation and Application for Classification.
He C; Xiong D; Zhang Q; Liao M
Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30791500
[TBL] [Abstract][Full Text] [Related]
13. Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization.
Zhou X; Zheng X; Shu T; Liang W; Wang KI; Qi L; Shimizu S; Jin Q
IEEE Trans Neural Netw Learn Syst; 2023 Nov; PP():. PubMed ID: 37976189
[TBL] [Abstract][Full Text] [Related]
14. Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks.
Ahmad B; Sun J; You Q; Palade V; Mao Z
Biomedicines; 2022 Jan; 10(2):. PubMed ID: 35203433
[TBL] [Abstract][Full Text] [Related]
15. Decentralized multi-agent reinforcement learning based on best-response policies.
Gabler V; Wollherr D
Front Robot AI; 2024; 11():1229026. PubMed ID: 38690119
[No Abstract] [Full Text] [Related]
16. Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification.
Zhong Z; Li J; Clausi DA; Wong A
IEEE Trans Cybern; 2020 Jul; 50(7):3318-3329. PubMed ID: 31170085
[TBL] [Abstract][Full Text] [Related]
17. A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets.
Bayoudh K; Knani R; Hamdaoui F; Mtibaa A
Vis Comput; 2022; 38(8):2939-2970. PubMed ID: 34131356
[TBL] [Abstract][Full Text] [Related]
18. AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks.
Tian Y; Shen L; Shen L; Su G; Li Z; Liu W
IEEE Trans Pattern Anal Mach Intell; 2022 Oct; 44(10):6752-6766. PubMed ID: 34310290
[TBL] [Abstract][Full Text] [Related]
19. Overview of deep learning in medical imaging.
Suzuki K
Radiol Phys Technol; 2017 Sep; 10(3):257-273. PubMed ID: 28689314
[TBL] [Abstract][Full Text] [Related]
20. De Novo Peptide and Protein Design Using Generative Adversarial Networks: An Update.
Lin E; Lin CH; Lane HY
J Chem Inf Model; 2022 Feb; 62(4):761-774. PubMed ID: 35128926
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]