198 related articles for article (PubMed ID: 31514162)
1. Decoding Brain States From fMRI Signals by Using Unsupervised Domain Adaptation.
Gao Y; Zhang Y; Cao Z; Guo X; Zhang J
IEEE J Biomed Health Inform; 2020 Jun; 24(6):1677-1685. PubMed ID: 31514162
[TBL] [Abstract][Full Text] [Related]
2. Brain decoding of the Human Connectome Project tasks in a dense individual fMRI dataset.
Rastegarnia S; St-Laurent M; DuPre E; Pinsard B; Bellec P
Neuroimage; 2023 Dec; 283():120395. PubMed ID: 37832707
[TBL] [Abstract][Full Text] [Related]
3. Decoding and mapping task states of the human brain via deep learning.
Wang X; Liang X; Jiang Z; Nguchu BA; Zhou Y; Wang Y; Wang H; Li Y; Zhu Y; Wu F; Gao JH; Qiu B
Hum Brain Mapp; 2020 Apr; 41(6):1505-1519. PubMed ID: 31816152
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised Joint Domain Adaptation for Decoding Brain Cognitive States From tfMRI Images.
Zhang Y; Gao Y; Xu J; Zhao G; Shi L; Kong L
IEEE J Biomed Health Inform; 2024 Mar; 28(3):1494-1503. PubMed ID: 38157464
[TBL] [Abstract][Full Text] [Related]
5. Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks.
Li H; Fan Y
Neuroimage; 2019 Nov; 202():116059. PubMed ID: 31362049
[TBL] [Abstract][Full Text] [Related]
6. Transfer learning of deep neural network representations for fMRI decoding.
Svanera M; Savardi M; Benini S; Signoroni A; Raz G; Hendler T; Muckli L; Goebel R; Valente G
J Neurosci Methods; 2019 Dec; 328():108319. PubMed ID: 31585315
[TBL] [Abstract][Full Text] [Related]
7. Deep learning models of cognitive processes constrained by human brain connectomes.
Zhang Y; Farrugia N; Bellec P
Med Image Anal; 2022 Aug; 80():102507. PubMed ID: 35738052
[TBL] [Abstract][Full Text] [Related]
8. Functional annotation of human cognitive states using deep graph convolution.
Zhang Y; Tetrel L; Thirion B; Bellec P
Neuroimage; 2021 May; 231():117847. PubMed ID: 33582272
[TBL] [Abstract][Full Text] [Related]
9. State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits.
Takagi Y; Hirayama JI; Tanaka SC
Neuroimage; 2019 Nov; 201():116036. PubMed ID: 31326571
[TBL] [Abstract][Full Text] [Related]
10. Modeling Task fMRI Data Via Deep Convolutional Autoencoder.
Huang H; Hu X; Zhao Y; Makkie M; Dong Q; Zhao S; Guo L; Liu T
IEEE Trans Med Imaging; 2018 Jul; 37(7):1551-1561. PubMed ID: 28641247
[TBL] [Abstract][Full Text] [Related]
11. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
Vu H; Kim HC; Jung M; Lee JH
Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
[TBL] [Abstract][Full Text] [Related]
12. Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method.
Li Z; Zhu Z; Li Q; Wu X
IEEE J Biomed Health Inform; 2023 Jan; 27(1):445-456. PubMed ID: 36121946
[TBL] [Abstract][Full Text] [Related]
13. Attention module improves both performance and interpretability of four-dimensional functional magnetic resonance imaging decoding neural network.
Jiang Z; Wang Y; Shi C; Wu Y; Hu R; Chen S; Hu S; Wang X; Qiu B
Hum Brain Mapp; 2022 Jun; 43(8):2683-2692. PubMed ID: 35212436
[TBL] [Abstract][Full Text] [Related]
14. Decoding the individual finger movements from single-trial functional magnetic resonance imaging recordings of human brain activity.
Shen G; Zhang J; Wang M; Lei D; Yang G; Zhang S; Du X
Eur J Neurosci; 2014 Jun; 39(12):2071-82. PubMed ID: 24661456
[TBL] [Abstract][Full Text] [Related]
15. Hierarchical multi-resolution mesh networks for brain decoding.
Onal Ertugrul I; Ozay M; Yarman Vural FT
Brain Imaging Behav; 2018 Aug; 12(4):1067-1083. PubMed ID: 28980144
[TBL] [Abstract][Full Text] [Related]
16. Design of Deep Learning Model for Task-Evoked fMRI Data Classification.
Huang X; Xiao J; Wu C
Comput Intell Neurosci; 2021; 2021():6660866. PubMed ID: 34422034
[TBL] [Abstract][Full Text] [Related]
17. Explainable fMRI-based brain decoding via spatial temporal-pyramid graph convolutional network.
Ye Z; Qu Y; Liang Z; Wang M; Liu Q
Hum Brain Mapp; 2023 May; 44(7):2921-2935. PubMed ID: 36852610
[TBL] [Abstract][Full Text] [Related]
18. Extendable supervised dictionary learning for exploring diverse and concurrent brain activities in task-based fMRI.
Zhao S; Han J; Hu X; Jiang X; Lv J; Zhang T; Zhang S; Guo L; Liu T
Brain Imaging Behav; 2018 Jun; 12(3):743-757. PubMed ID: 28600737
[TBL] [Abstract][Full Text] [Related]
19. Unsupervised model adaptation for source-free segmentation of medical images.
Stan S; Rostami M
Med Image Anal; 2024 Jul; 95():103179. PubMed ID: 38626666
[TBL] [Abstract][Full Text] [Related]
20. Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.
Yuan J; Li X; Zhang J; Luo L; Dong Q; Lv J; Zhao Y; Jiang X; Zhang S; Zhang W; Liu T
Neuroimage; 2018 Oct; 180(Pt B):350-369. PubMed ID: 29102809
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
