158 related articles for article (PubMed ID: 38683281)
1. Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction.
Chen J; Zhang H; Zou Q; Liao B; Bi XA
Interdiscip Sci; 2024 Apr; ():. PubMed ID: 38683281
[TBL] [Abstract][Full Text] [Related]
2. Deep Canonical Correlation Fusion Algorithm Based on Denoising Autoencoder for ASD Diagnosis and Pathogenic Brain Region Identification.
Zhang H; Chen J; Liao B; Wu FX; Bi XA
Interdiscip Sci; 2024 Apr; ():. PubMed ID: 38573456
[TBL] [Abstract][Full Text] [Related]
3. CNNG: A Convolutional Neural Networks With Gated Recurrent Units for Autism Spectrum Disorder Classification.
Jiang W; Liu S; Zhang H; Sun X; Wang SH; Zhao J; Yan J
Front Aging Neurosci; 2022; 14():948704. PubMed ID: 35865746
[TBL] [Abstract][Full Text] [Related]
4. Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI.
Chu Y; Wang G; Cao L; Qiao L; Liu M
Front Neuroinform; 2021; 15():802305. PubMed ID: 35095453
[TBL] [Abstract][Full Text] [Related]
5. The Development of a Practical Artificial Intelligence Tool for Diagnosing and Evaluating Autism Spectrum Disorder: Multicenter Study.
Chen T; Chen Y; Yuan M; Gerstein M; Li T; Liang H; Froehlich T; Lu L
JMIR Med Inform; 2020 May; 8(5):e15767. PubMed ID: 32041690
[TBL] [Abstract][Full Text] [Related]
6. Unified framework for early stage status prediction of autism based on infant structural magnetic resonance imaging.
Gao K; Sun Y; Niu S; Wang L
Autism Res; 2021 Dec; 14(12):2512-2523. PubMed ID: 34643325
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data.
Almuqhim F; Saeed F
Front Comput Neurosci; 2021; 15():654315. PubMed ID: 33897398
[TBL] [Abstract][Full Text] [Related]
9. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
Alharthi AG; Alzahrani SM
Comput Biol Med; 2023 Dec; 167():107667. PubMed ID: 37939407
[TBL] [Abstract][Full Text] [Related]
10. Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster.
Bi XA; Wang Y; Shu Q; Sun Q; Xu Q
Front Genet; 2018; 9():18. PubMed ID: 29467790
[TBL] [Abstract][Full Text] [Related]
11. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
Aghdam MA; Sharifi A; Pedram MM
J Digit Imaging; 2019 Dec; 32(6):899-918. PubMed ID: 30963340
[TBL] [Abstract][Full Text] [Related]
12. Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network.
Akhavan Aghdam M; Sharifi A; Pedram MM
J Digit Imaging; 2018 Dec; 31(6):895-903. PubMed ID: 29736781
[TBL] [Abstract][Full Text] [Related]
13. MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.
Wen G; Cao P; Bao H; Yang W; Zheng T; Zaiane O
Comput Biol Med; 2022 Mar; 142():105239. PubMed ID: 35066446
[TBL] [Abstract][Full Text] [Related]
14. [Application of recurrent neural network in prognosis of peritoneal dialysis].
Tang W; Gao JY; Ma XY; Zhang CH; Ma LT; Wang YS
Beijing Da Xue Xue Bao Yi Xue Ban; 2019 Jun; 51(3):602-608. PubMed ID: 31209438
[TBL] [Abstract][Full Text] [Related]
15. Learning to Fuse Multiple Brain Functional Networks for Automated Autism Identification.
Zhang C; Ma Y; Qiao L; Zhang L; Liu M
Biology (Basel); 2023 Jul; 12(7):. PubMed ID: 37508401
[TBL] [Abstract][Full Text] [Related]
16. Multi-Slice Generation sMRI and fMRI for Autism Spectrum Disorder Diagnosis Using 3D-CNN and Vision Transformers.
Alharthi AG; Alzahrani SM
Brain Sci; 2023 Nov; 13(11):. PubMed ID: 38002538
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Deep learning based joint fusion approach to exploit anatomical and functional brain information in autism spectrum disorders.
Saponaro S; Lizzi F; Serra G; Mainas F; Oliva P; Giuliano A; Calderoni S; Retico A
Brain Inform; 2024 Jan; 11(1):2. PubMed ID: 38194126
[TBL] [Abstract][Full Text] [Related]
20. EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning.
Jung W; Jeon E; Kang E; Suk HI
IEEE Trans Med Imaging; 2024 Apr; 43(4):1400-1411. PubMed ID: 38015693
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
