122 related articles for article (PubMed ID: 35290195)
1. 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]
2. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.
Kim J; Calhoun VD; Shim E; Lee JH
Neuroimage; 2016 Jan; 124(Pt A):127-146. PubMed ID: 25987366
[TBL] [Abstract][Full Text] [Related]
3. A Convolutional Neural Network Combined With Prototype Learning Framework for Brain Functional Network Classification of Autism Spectrum Disorder.
Liang Y; Liu B; Zhang H
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():2193-2202. PubMed ID: 34648452
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification.
Chen X; Zhang H; Lee SW; Shen D;
Neuroinformatics; 2017 Jul; 15(3):271-284. PubMed ID: 28555371
[TBL] [Abstract][Full Text] [Related]
7. Multi feature fusion network for schizophrenia classification and abnormal brain network recognition.
Wang C; Wang C; Ren Y; Zhang R; Ai L; Wu Y; Ran X; Wang M; Hu H; Shen J; Zhao Z; Yang Y; Ren W; Yu Y
Brain Res Bull; 2024 Jan; 206():110848. PubMed ID: 38104673
[TBL] [Abstract][Full Text] [Related]
8. Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification.
Chen X; Zhang H; Zhang L; Shen C; Lee SW; Shen D
Hum Brain Mapp; 2017 Oct; 38(10):5019-5034. PubMed ID: 28665045
[TBL] [Abstract][Full Text] [Related]
9. Image categorization from functional magnetic resonance imaging using functional connectivity.
Liu C; Song S; Guo X; Zhu Z; Zhang J
J Neurosci Methods; 2018 Nov; 309():71-80. PubMed ID: 30145172
[TBL] [Abstract][Full Text] [Related]
10. Multi-Scale FC-Based Multi-Order GCN: A Novel Model for Predicting Individual Behavior From fMRI.
Wen X; Cao Q; Jing B; Zhang D
IEEE Trans Neural Syst Rehabil Eng; 2024; 32():548-558. PubMed ID: 38252573
[TBL] [Abstract][Full Text] [Related]
11. Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment.
Zhang H; Giannakopoulos P; Haller S; Lee SW; Qiu S; Shen D
Neuroinformatics; 2019 Oct; 17(4):547-561. PubMed ID: 30739281
[TBL] [Abstract][Full Text] [Related]
12. Hyper-connectivity of functional networks for brain disease diagnosis.
Jie B; Wee CY; Shen D; Zhang D
Med Image Anal; 2016 Aug; 32():84-100. PubMed ID: 27060621
[TBL] [Abstract][Full Text] [Related]
13. Autoencoder and restricted Boltzmann machine for transfer learning in functional magnetic resonance imaging task classification.
Hwang J; Lustig N; Jung M; Lee JH
Heliyon; 2023 Jul; 9(7):e18086. PubMed ID: 37519689
[TBL] [Abstract][Full Text] [Related]
14. Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI.
Zhao F; Zhang H; Rekik I; An Z; Shen D
Front Hum Neurosci; 2018; 12():184. PubMed ID: 29867410
[TBL] [Abstract][Full Text] [Related]
15. High-order resting-state functional connectivity network for MCI classification.
Chen X; Zhang H; Gao Y; Wee CY; Li G; Shen D;
Hum Brain Mapp; 2016 Sep; 37(9):3282-96. PubMed ID: 27144538
[TBL] [Abstract][Full Text] [Related]
16. Recognition of Cognitive Impairment in Adult Moyamoya Disease: A Classifier Based on High-Order Resting-State Functional Connectivity Network.
Lei Y; Chen X; Su JB; Zhang X; Yang H; Gao XJ; Ni W; Chen L; Yu JH; Gu YX; Mao Y
Front Neural Circuits; 2020; 14():603208. PubMed ID: 33408614
[No Abstract] [Full Text] [Related]
17. Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis.
Zhang Y; Zhang H; Chen X; Lee SW; Shen D
Sci Rep; 2017 Jul; 7(1):6530. PubMed ID: 28747782
[TBL] [Abstract][Full Text] [Related]
18. Decoding brain states from fMRI connectivity graphs.
Richiardi J; Eryilmaz H; Schwartz S; Vuilleumier P; Van De Ville D
Neuroimage; 2011 May; 56(2):616-26. PubMed ID: 20541019
[TBL] [Abstract][Full Text] [Related]
19. Accounting for temporal variability in functional magnetic resonance imaging improves prediction of intelligence.
Li Y; Ma X; Sunderraman R; Ji S; Kundu S
Hum Brain Mapp; 2023 Sep; 44(13):4772-4791. PubMed ID: 37466292
[TBL] [Abstract][Full Text] [Related]
20. Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Loddo A; Buttau S; Di Ruberto C
Comput Biol Med; 2022 Feb; 141():105032. PubMed ID: 34838263
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]