211 related articles for article (PubMed ID: 36291346)
21. A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
Yao D; Sui J; Wang M; Yang E; Jiaerken Y; Luo N; Yap PT; Liu M; Shen D
IEEE Trans Med Imaging; 2021 Apr; 40(4):1279-1289. PubMed ID: 33444133
[TBL] [Abstract][Full Text] [Related]
22. Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis.
Li L; Wen G; Cao P; Liu X; R Zaiane O; Yang J
Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):663-673. PubMed ID: 36333597
[TBL] [Abstract][Full Text] [Related]
23. Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI.
Wang Q; Wang W; Fang Y; Yap PT; Zhu H; Li HJ; Qiao L; Liu M
IEEE Trans Biomed Eng; 2024 Feb; PP():. PubMed ID: 38412079
[TBL] [Abstract][Full Text] [Related]
24. Exploring the role of edge distribution in graph convolutional networks.
He L; Bai L; Yang X; Liang Z; Liang J
Neural Netw; 2023 Nov; 168():459-470. PubMed ID: 37806139
[TBL] [Abstract][Full Text] [Related]
25. Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
Yao D; Sui J; Yang E; Yap PT; Shen D; Liu M
Mach Learn Med Imaging; 2020 Oct; 12436():1-10. PubMed ID: 36383497
[TBL] [Abstract][Full Text] [Related]
26. Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification.
Chen Y; Yan J; Jiang M; Zhang T; Zhao Z; Zhao W; Zheng J; Yao D; Zhang R; Kendrick KM; Jiang X
IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7275-7286. PubMed ID: 35286265
[TBL] [Abstract][Full Text] [Related]
27. Multi-Graph Attention Networks with Bilinear Convolution for Diagnosis of Schizophrenia.
Yu R; Pan C; Fei X; Chen M; Shen D
IEEE J Biomed Health Inform; 2023 Jan; PP():. PubMed ID: 37018590
[TBL] [Abstract][Full Text] [Related]
28. Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI.
Wang N; Yao D; Ma L; Liu M
Med Image Anal; 2022 Jan; 75():102279. PubMed ID: 34731776
[TBL] [Abstract][Full Text] [Related]
29. Locality preserving dense graph convolutional networks with graph context-aware node representations.
Liu W; Gong M; Tang Z; Qin AK; Sheng K; Xu M
Neural Netw; 2021 Nov; 143():108-120. PubMed ID: 34116289
[TBL] [Abstract][Full Text] [Related]
30. Multi-level and joint attention networks on brain functional connectivity for cross-cognitive prediction.
Xia J; Chen N; Qiu A
Med Image Anal; 2023 Dec; 90():102921. PubMed ID: 37666116
[TBL] [Abstract][Full Text] [Related]
31. Unsupervised contrastive graph learning for resting-state functional MRI analysis and brain disorder detection.
Wang X; Chu Y; Wang Q; Cao L; Qiao L; Zhang L; Liu M
Hum Brain Mapp; 2023 Dec; 44(17):5672-5692. PubMed ID: 37668327
[TBL] [Abstract][Full Text] [Related]
32. Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.
Cao P; Wen G; Liu X; Yang J; Zaiane OR
Med Biol Eng Comput; 2022 Jul; 60(7):1897-1913. PubMed ID: 35522357
[TBL] [Abstract][Full Text] [Related]
33. Dynamic multi-site graph convolutional network for autism spectrum disorder identification.
Cui W; Du J; Sun M; Zhu S; Zhao S; Peng Z; Tan L; Li Y
Comput Biol Med; 2023 May; 157():106749. PubMed ID: 36921455
[TBL] [Abstract][Full Text] [Related]
34. A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder.
Shao L; Fu C; Chen X
BMC Bioinformatics; 2023 Sep; 24(1):363. PubMed ID: 37759189
[TBL] [Abstract][Full Text] [Related]
35. Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis.
Gadgil S; Zhao Q; Pfefferbaum A; Sullivan EV; Adeli E; Pohl KM
Med Image Comput Comput Assist Interv; 2020 Oct; 12267():528-538. PubMed ID: 33257918
[TBL] [Abstract][Full Text] [Related]
36. Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network.
Song X; Zhou F; Frangi AF; Cao J; Xiao X; Lei Y; Wang T; Lei B
IEEE Trans Med Imaging; 2023 Feb; 42(2):354-367. PubMed ID: 35767511
[TBL] [Abstract][Full Text] [Related]
37. Collaborative learning of graph generation, clustering and classification for brain networks diagnosis.
Yang W; Wen G; Cao P; Yang J; Zaiane OR
Comput Methods Programs Biomed; 2022 Jun; 219():106772. PubMed ID: 35395591
[TBL] [Abstract][Full Text] [Related]
38. Feature-Attention Graph Convolutional Networks for Noise Resilient Learning.
Shi M; Tang Y; Zhu X; Zhuang Y; Lin M; Liu J
IEEE Trans Cybern; 2022 Aug; 52(8):7719-7731. PubMed ID: 35104237
[TBL] [Abstract][Full Text] [Related]
39. Joint learning of multi-level dynamic brain networks for autism spectrum disorder diagnosis.
Li N; Xiao J; Mao N; Cheng D; Chen X; Zhao F; Shi Z
Comput Biol Med; 2024 Mar; 171():108054. PubMed ID: 38350396
[TBL] [Abstract][Full Text] [Related]
40. Residual graph transformer for autism spectrum disorder prediction.
Wang Y; Long H; Bo T; Zheng J
Comput Methods Programs Biomed; 2024 Apr; 247():108065. PubMed ID: 38428249
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
