194 related articles for article (PubMed ID: 37279132)
1. Functional Alignment-Auxiliary Generative Adversarial Network-Based Visual Stimuli Reconstruction via Multi-Subject fMRI.
Huang S; Sun L; Yousefnezhad M; Wang M; Zhang D
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2715-2725. PubMed ID: 37279132
[TBL] [Abstract][Full Text] [Related]
2. Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning.
Ren Z; Li J; Xue X; Li X; Yang F; Jiao Z; Gao X
Neuroimage; 2021 Mar; 228():117602. PubMed ID: 33395572
[TBL] [Abstract][Full Text] [Related]
3. Generative adversarial networks for reconstructing natural images from brain activity.
Seeliger K; Güçlü U; Ambrogioni L; Güçlütürk Y; van Gerven MAJ
Neuroimage; 2018 Nov; 181():775-785. PubMed ID: 30031932
[TBL] [Abstract][Full Text] [Related]
4. Perception-to-Image: Reconstructing Natural Images from the Brain Activity of Visual Perception.
Huang W; Yan H; Wang C; Li J; Zuo Z; Zhang J; Shen Z; Chen H
Ann Biomed Eng; 2020 Sep; 48(9):2323-2332. PubMed ID: 32285343
[TBL] [Abstract][Full Text] [Related]
5. BigGAN-based Bayesian Reconstruction of Natural Images from Human Brain Activity.
Qiao K; Chen J; Wang L; Zhang C; Tong L; Yan B
Neuroscience; 2020 Sep; 444():92-105. PubMed ID: 32736069
[TBL] [Abstract][Full Text] [Related]
6. Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model.
Ferrante M; Boccato T; Passamonti L; Toschi N
J Neural Eng; 2024 Jun; 21(4):. PubMed ID: 38885689
[No Abstract] [Full Text] [Related]
7. Learning brain representation using recurrent Wasserstein generative adversarial net.
Qiang N; Dong Q; Liang H; Li J; Zhang S; Zhang C; Ge B; Sun Y; Gao J; Liu T; Yue H; Zhao S
Comput Methods Programs Biomed; 2022 Aug; 223():106979. PubMed ID: 35792364
[TBL] [Abstract][Full Text] [Related]
8. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
Jiang Y; Zhang S; Chi J
J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
[TBL] [Abstract][Full Text] [Related]
9. Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space.
Dado T; Güçlütürk Y; Ambrogioni L; Ras G; Bosch S; van Gerven M; Güçlü U
Sci Rep; 2022 Jan; 12(1):141. PubMed ID: 34997012
[TBL] [Abstract][Full Text] [Related]
10. Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.
Yu B; Zhou L; Wang L; Shi Y; Fripp J; Bourgeat P
IEEE Trans Med Imaging; 2019 Jul; 38(7):1750-1762. PubMed ID: 30714911
[TBL] [Abstract][Full Text] [Related]
11. Semantics-Guided Hierarchical Feature Encoding Generative Adversarial Network for Visual Image Reconstruction From Brain Activity.
Meng L; Yang C
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1267-1283. PubMed ID: 38498745
[TBL] [Abstract][Full Text] [Related]
12. Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.
Du C; Du C; Huang L; He H
IEEE Trans Neural Netw Learn Syst; 2019 Aug; 30(8):2310-2323. PubMed ID: 30561354
[TBL] [Abstract][Full Text] [Related]
13. Reconstructing rapid natural vision with fMRI-conditional video generative adversarial network.
Wang C; Yan H; Huang W; Li J; Wang Y; Fan YS; Sheng W; Liu T; Li R; Chen H
Cereb Cortex; 2022 Oct; 32(20):4502-4511. PubMed ID: 35078227
[TBL] [Abstract][Full Text] [Related]
14. Reconstructing faces from fMRI patterns using deep generative neural networks.
VanRullen R; Reddy L
Commun Biol; 2019; 2():193. PubMed ID: 31123717
[TBL] [Abstract][Full Text] [Related]
15. Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
Huang P; Li D; Jiao Z; Wei D; Cao B; Mo Z; Wang Q; Zhang H; Shen D
Med Image Anal; 2022 Jul; 79():102472. PubMed ID: 35567847
[TBL] [Abstract][Full Text] [Related]
16. Reconstructing controllable faces from brain activity with hierarchical multiview representations.
Ren Z; Li J; Xue X; Li X; Yang F; Jiao Z; Gao X
Neural Netw; 2023 Sep; 166():487-500. PubMed ID: 37574622
[TBL] [Abstract][Full Text] [Related]
17. Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.
Tie X; Lam SK; Zhang Y; Lee KH; Au KH; Cai J
Med Phys; 2020 Apr; 47(4):1750-1762. PubMed ID: 32012292
[TBL] [Abstract][Full Text] [Related]
18. Inter-subject neural code converter for visual image representation.
Yamada K; Miyawaki Y; Kamitani Y
Neuroimage; 2015 Jun; 113():289-97. PubMed ID: 25842289
[TBL] [Abstract][Full Text] [Related]
19. Images Reconstruction from Functional Magnetic Resonance Imaging Patterns Based on the Improved Deep Generative Multiview Model.
Pan H; Fu Y; Li Z; Wen F; Hu J; Wu B
Neuroscience; 2023 Jan; 509():103-112. PubMed ID: 36460220
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]