279 related articles for article (PubMed ID: 38166747)
1. Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia.
Sunil G; Gowtham S; Bose A; Harish S; Srinivasa G
BMC Neurosci; 2024 Jan; 25(1):2. PubMed ID: 38166747
[TBL] [Abstract][Full Text] [Related]
2. Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
Brain Imaging Behav; 2016 Sep; 10(3):799-817. PubMed ID: 26363784
[TBL] [Abstract][Full Text] [Related]
3. NBS-Predict: A prediction-based extension of the network-based statistic.
Serin E; Zalesky A; Matory A; Walter H; Kruschwitz JD
Neuroimage; 2021 Dec; 244():118625. PubMed ID: 34610435
[TBL] [Abstract][Full Text] [Related]
4. Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia.
Lei D; Qin K; Pinaya WHL; Young J; Van Amelsvoort T; Marcelis M; Donohoe G; Mothersill DO; Corvin A; Vieira S; Lui S; Scarpazza C; Arango C; Bullmore E; Gong Q; McGuire P; Mechelli A
Schizophr Bull; 2022 Jun; 48(4):881-892. PubMed ID: 35569019
[TBL] [Abstract][Full Text] [Related]
5. Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics.
Lei D; Pinaya WHL; van Amelsvoort T; Marcelis M; Donohoe G; Mothersill DO; Corvin A; Gill M; Vieira S; Huang X; Lui S; Scarpazza C; Young J; Arango C; Bullmore E; Qiyong G; McGuire P; Mechelli A
Psychol Med; 2020 Aug; 50(11):1852-1861. PubMed ID: 31391132
[TBL] [Abstract][Full Text] [Related]
6. Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.
Lei D; Pinaya WHL; Young J; van Amelsvoort T; Marcelis M; Donohoe G; Mothersill DO; Corvin A; Vieira S; Huang X; Lui S; Scarpazza C; Arango C; Bullmore E; Gong Q; McGuire P; Mechelli A
Hum Brain Mapp; 2020 Apr; 41(5):1119-1135. PubMed ID: 31737978
[TBL] [Abstract][Full Text] [Related]
7. A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.
Azevedo T; Campbell A; Romero-Garcia R; Passamonti L; Bethlehem RAI; Liò P; Toschi N
Med Image Anal; 2022 Jul; 79():102471. PubMed ID: 35580429
[TBL] [Abstract][Full Text] [Related]
8. Identifying patients with Alzheimer's disease using resting-state fMRI and graph theory.
Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
Clin Neurophysiol; 2015 Nov; 126(11):2132-41. PubMed ID: 25907414
[TBL] [Abstract][Full Text] [Related]
9. Multi-view graph network learning framework for identification of major depressive disorder.
Zhang M; Long D; Chen Z; Fang C; Li Y; Huang P; Chen F; Sun H
Comput Biol Med; 2023 Nov; 166():107478. PubMed ID: 37776730
[TBL] [Abstract][Full Text] [Related]
10. Spatio-temporal directed acyclic graph learning with attention mechanisms on brain functional time series and connectivity.
Huang SG; Xia J; Xu L; Qiu A
Med Image Anal; 2022 Apr; 77():102370. PubMed ID: 35144197
[TBL] [Abstract][Full Text] [Related]
11. Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study.
Meng X; Iraji A; Fu Z; Kochunov P; Belger A; Ford JM; McEwen S; Mathalon DH; Mueller BA; Pearlson G; Potkin SG; Preda A; Turner J; van Erp TGM; Sui J; Calhoun VD
Neuroimage Clin; 2023; 38():103434. PubMed ID: 37209635
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.
Campbell JM; Huang Z; Zhang J; Wu X; Qin P; Northoff G; Mashour GA; Hudetz AG
Neuroimage; 2020 Feb; 206():116316. PubMed ID: 31672663
[TBL] [Abstract][Full Text] [Related]
14. Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models.
Zou A; Ji J; Lei M; Liu J; Song Y
IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7871-7883. PubMed ID: 36399590
[TBL] [Abstract][Full Text] [Related]
15. Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection.
Kiakou D; Adamopoulos A; Scherf N
Adv Exp Med Biol; 2023; 1424():223-230. PubMed ID: 37486497
[TBL] [Abstract][Full Text] [Related]
16. A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD.
Zhao K; Duka B; Xie H; Oathes DJ; Calhoun V; Zhang Y
Neuroimage; 2022 Feb; 246():118774. PubMed ID: 34861391
[TBL] [Abstract][Full Text] [Related]
17. Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites.
Qin K; Lei D; Pinaya WHL; Pan N; Li W; Zhu Z; Sweeney JA; Mechelli A; Gong Q
EBioMedicine; 2022 Apr; 78():103977. PubMed ID: 35367775
[TBL] [Abstract][Full Text] [Related]
18. [Alzheimer's disease classification based on nonlinear high-order features and hypergraph convolutional neural network].
Zeng A; Luo B; Pan D; Rong H; Cao J; Zhang X; Lin J; Yang Y; Liu J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Oct; 40(5):852-858. PubMed ID: 37879913
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.
Noman F; Ting CM; Kang H; Phan RC; Ombao H
IEEE J Biomed Health Inform; 2024 Mar; 28(3):1644-1655. PubMed ID: 38194405
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]