242 related articles for article (PubMed ID: 34648452)
21. 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]
22. A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes.
Li H; Parikh NA; He L
Front Neurosci; 2018; 12():491. PubMed ID: 30087587
[TBL] [Abstract][Full Text] [Related]
23. Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification.
Zhu H; Wang J; Zhao YP; Lu M; Shi J
IEEE Trans Biomed Eng; 2023 Jun; 70(6):1943-1954. PubMed ID: 37015677
[TBL] [Abstract][Full Text] [Related]
24. A multi-view convolutional neural network method combining attention mechanism for diagnosing autism spectrum disorder.
Wang M; Ma Z; Wang Y; Liu J; Guo J
PLoS One; 2023; 18(12):e0295621. PubMed ID: 38064474
[TBL] [Abstract][Full Text] [Related]
25. Multi-Level Functional Connectivity Fusion Classification Framework for Brain Disease Diagnosis.
Liang Y; Xu G
IEEE J Biomed Health Inform; 2022 Jun; 26(6):2714-2725. PubMed ID: 35290195
[TBL] [Abstract][Full Text] [Related]
26. A CNN Deep Local and Global ASD Classification Approach with Continuous Wavelet Transform Using Task-Based FMRI.
Haweel R; Seada N; Ghoniemy S; Alghamdi NS; El-Baz A
Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502710
[TBL] [Abstract][Full Text] [Related]
27. Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction.
Jiang H; Cao P; Xu M; Yang J; Zaiane O
Comput Biol Med; 2020 Dec; 127():104096. PubMed ID: 33166800
[TBL] [Abstract][Full Text] [Related]
28. Multisite Autism Spectrum Disorder Classification Using Convolutional Neural Network Classifier and Individual Morphological Brain Networks.
Gao J; Chen M; Li Y; Gao Y; Li Y; Cai S; Wang J
Front Neurosci; 2020; 14():629630. PubMed ID: 33584183
[TBL] [Abstract][Full Text] [Related]
29. Brain tumor classification for MR images using transfer learning and fine-tuning.
Swati ZNK; Zhao Q; Kabir M; Ali F; Ali Z; Ahmed S; Lu J
Comput Med Imaging Graph; 2019 Jul; 75():34-46. PubMed ID: 31150950
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. 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]
32. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.
Liu M; Li F; Yan H; Wang K; Ma Y; ; Shen L; Xu M
Neuroimage; 2020 Mar; 208():116459. PubMed ID: 31837471
[TBL] [Abstract][Full Text] [Related]
33. Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks.
Thomas RM; Gallo S; Cerliani L; Zhutovsky P; El-Gazzar A; van Wingen G
Front Psychiatry; 2020; 11():440. PubMed ID: 32477198
[TBL] [Abstract][Full Text] [Related]
34. Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy.
Xu L; Liu Y; Yu J; Li X; Yu X; Cheng H; Li J
J Neurosci Methods; 2020 Feb; 331():108538. PubMed ID: 31794776
[TBL] [Abstract][Full Text] [Related]
35. TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.
Li L; Jiang H; Wen G; Cao P; Xu M; Liu X; Yang J; Zaiane O
Neuroinformatics; 2022 Apr; 20(2):353-375. PubMed ID: 34761367
[TBL] [Abstract][Full Text] [Related]
36. Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network.
Sherkatghanad Z; Akhondzadeh M; Salari S; Zomorodi-Moghadam M; Abdar M; Acharya UR; Khosrowabadi R; Salari V
Front Neurosci; 2019; 13():1325. PubMed ID: 32009868
[No Abstract] [Full Text] [Related]
37. Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems.
Lu Z; Wang J; Mao R; Lu M; Shi J
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):476-488. PubMed ID: 35349448
[TBL] [Abstract][Full Text] [Related]
38. Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation.
Huang F; Tan EL; Yang P; Huang S; Ou-Yang L; Cao J; Wang T; Lei B
Med Image Anal; 2020 Jul; 63():101662. PubMed ID: 32442865
[TBL] [Abstract][Full Text] [Related]
39. Enhancing the representation of functional connectivity networks by fusing multi-view information for autism spectrum disorder diagnosis.
Huang H; Liu X; Jin Y; Lee SW; Wee CY; Shen D
Hum Brain Mapp; 2019 Feb; 40(3):833-854. PubMed ID: 30357998
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]