These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
201 related articles for article (PubMed ID: 35169788)
1. Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems. Dai Z; Bu Z; Long Q Proc Int Conf Mach Learn Appl; 2021 Dec; 2021():791-798. PubMed ID: 35169788 [TBL] [Abstract][Full Text] [Related]
2. Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. Dai Z; Bu Z; Long Q Proc Mach Learn Res; 2022 Dec; 189():265-279. PubMed ID: 37457613 [TBL] [Abstract][Full Text] [Related]
3. Detracking Autoencoding Conditional Generative Adversarial Network: Improved Generative Adversarial Network Method for Tabular Missing Value Imputation. Liu J; Duan Z; Hu X; Zhong J; Yin Y Entropy (Basel); 2024 May; 26(5):. PubMed ID: 38785651 [TBL] [Abstract][Full Text] [Related]
4. A joint learning method for incomplete and imbalanced data in electronic health record based on generative adversarial networks. Weng X; Song H; Lin Y; Wu Y; Zhang X; Liu B; Yang J Comput Biol Med; 2024 Jan; 168():107687. PubMed ID: 38007974 [TBL] [Abstract][Full Text] [Related]
5. Electronic medical records imputation by temporal Generative Adversarial Network. Yin Y; Yuan Z; Tanvir IM; Bao X BioData Min; 2024 Jun; 17(1):19. PubMed ID: 38926718 [TBL] [Abstract][Full Text] [Related]
6. PC-GAIN: Pseudo-label conditional generative adversarial imputation networks for incomplete data. Wang Y; Li D; Li X; Yang M Neural Netw; 2021 Sep; 141():395-403. PubMed ID: 34139636 [TBL] [Abstract][Full Text] [Related]
7. A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets. Bernardini M; Doinychko A; Romeo L; Frontoni E; Amini MR Comput Biol Med; 2023 Sep; 163():107188. PubMed ID: 37393785 [TBL] [Abstract][Full Text] [Related]
8. A Missing Traffic Data Imputation Method Based on a Diffusion Convolutional Neural Network-Generative Adversarial Network. Zhang C; Zhou L; Xiao X; Xu D Sensors (Basel); 2023 Dec; 23(23):. PubMed ID: 38067974 [TBL] [Abstract][Full Text] [Related]
9. DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation. Choi JM; Ji M; Watson LT; Zhang L Bioinformatics; 2023 May; 39(5):. PubMed ID: 37099704 [TBL] [Abstract][Full Text] [Related]
10. Generative adversarial networks for imputing missing data for big data clinical research. Dong W; Fong DYT; Yoon JS; Wan EYF; Bedford LE; Tang EHM; Lam CLK BMC Med Res Methodol; 2021 Apr; 21(1):78. PubMed ID: 33879090 [TBL] [Abstract][Full Text] [Related]
11. scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks. Wang T; Zhao H; Xu Y; Wang Y; Shang X; Peng J; Xiao B Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37903416 [TBL] [Abstract][Full Text] [Related]
12. MISNN: Multiple Imputation via Semi-parametric Neural Networks. Bu Z; Dai Z; Zhang Y; Long Q Adv Knowl Discov Data Min; 2023 May; 13935():430-442. PubMed ID: 38370342 [TBL] [Abstract][Full Text] [Related]
13. Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Xia Y; Zhang L; Ravikumar N; Attar R; Piechnik SK; Neubauer S; Petersen SE; Frangi AF Med Image Anal; 2021 Jan; 67():101812. PubMed ID: 33129140 [TBL] [Abstract][Full Text] [Related]
14. Missing Data Imputation Method Combining Random Forest and Generative Adversarial Imputation Network. Ou H; Yao Y; He Y Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400270 [TBL] [Abstract][Full Text] [Related]
15. ImputeGAN: Generative Adversarial Network for Multivariate Time Series Imputation. Qin R; Wang Y Entropy (Basel); 2023 Jan; 25(1):. PubMed ID: 36673278 [TBL] [Abstract][Full Text] [Related]
16. Handling missing data and measurement error for early-onset myopia risk prediction models. Lai H; Gao K; Li M; Li T; Zhou X; Zhou X; Guo H; Fu B BMC Med Res Methodol; 2024 Sep; 24(1):194. PubMed ID: 39243025 [TBL] [Abstract][Full Text] [Related]
17. scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network. Huang Z; Wang J; Lu X; Mohd Zain A; Yu G Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36733262 [TBL] [Abstract][Full Text] [Related]
18. VIGAN: Missing View Imputation with Generative Adversarial Networks. Shang C; Palmer A; Sun J; Chen KS; Lu J; Bi J Proc IEEE Int Conf Big Data; 2017; 2017():766-775. PubMed ID: 29457155 [TBL] [Abstract][Full Text] [Related]
19. Evaluation of Multiple Imputation with Large Proportions of Missing Data: How Much Is Too Much? Lee JH; Huber JC Iran J Public Health; 2021 Jul; 50(7):1372-1380. PubMed ID: 34568175 [TBL] [Abstract][Full Text] [Related]
20. Deep Learning Methods for Omics Data Imputation. Huang L; Song M; Shen H; Hong H; Gong P; Deng HW; Zhang C Biology (Basel); 2023 Oct; 12(10):. PubMed ID: 37887023 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]