340 related articles for article (PubMed ID: 38303477)
1. An Alzheimer's Disease classification network based on MRI utilizing diffusion maps for multi-scale feature fusion in graph convolution.
Yang Z; Li K; Gan H; Huang Z; Shi M; Zhou R
Math Biosci Eng; 2024 Jan; 21(1):1554-1572. PubMed ID: 38303477
[TBL] [Abstract][Full Text] [Related]
2. A Graph Convolutional Network Based on Univariate Neurodegeneration Biomarker for Alzheimer's Disease Diagnosis.
Qu Z; Yao T; Liu X; Wang G
IEEE J Transl Eng Health Med; 2023; 11():405-416. PubMed ID: 37492469
[TBL] [Abstract][Full Text] [Related]
3. [Research on classification method of multimodal magnetic resonance images of Alzheimer's disease based on generalized convolutional neural networks].
Qin Z; Liu Z; Lu Y; Zhu P
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Apr; 40(2):217-225. PubMed ID: 37139751
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
[TBL] [Abstract][Full Text] [Related]
7. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
Pan J; Lin H; Dong Y; Wang Y; Ji Y
Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410
[TBL] [Abstract][Full Text] [Related]
8. An extensible hierarchical graph convolutional network for early Alzheimer's disease identification.
Tian X; Liu Y; Wang L; Zeng X; Huang Y; Wang Z
Comput Methods Programs Biomed; 2023 Aug; 238():107597. PubMed ID: 37216716
[TBL] [Abstract][Full Text] [Related]
9. A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification.
Lin L; Xiong M; Zhang G; Kang W; Sun S; Wu S; Initiative Alzheimer's Disease Neuroimaging
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850510
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis.
Chen Z; Liu Y; Zhang Y; Li Q;
Med Image Anal; 2023 Feb; 84():102698. PubMed ID: 36462372
[TBL] [Abstract][Full Text] [Related]
12. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
Liu M; Cheng D; Wang K; Wang Y;
Neuroinformatics; 2018 Oct; 16(3-4):295-308. PubMed ID: 29572601
[TBL] [Abstract][Full Text] [Related]
13. HAMMF: Hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer's disease.
Liu X; Li W; Miao S; Liu F; Han K; Bezabih TT
Comput Biol Med; 2024 Jun; 176():108564. PubMed ID: 38744010
[TBL] [Abstract][Full Text] [Related]
14. Alzheimer's disease diagnosis from diffusion tensor images using convolutional neural networks.
Marzban EN; Eldeib AM; Yassine IA; Kadah YM;
PLoS One; 2020; 15(3):e0230409. PubMed ID: 32208428
[TBL] [Abstract][Full Text] [Related]
15. Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer's Disease Diagnosis: Enhancing Data Integration and Feature Extraction.
Odusami M; Maskeliūnas R; Damaševičius R
J Pers Med; 2023 Oct; 13(10):. PubMed ID: 37888107
[TBL] [Abstract][Full Text] [Related]
16. [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]
17. Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis.
Wang M; Shao W; Huang S; Zhang D
Med Image Anal; 2023 Oct; 89():102883. PubMed ID: 37467641
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction.
Song X; Zhou F; Frangi AF; Cao J; Xiao X; Lei Y; Wang T; Lei B
Med Image Anal; 2021 Apr; 69():101947. PubMed ID: 33388456
[TBL] [Abstract][Full Text] [Related]
20. Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks.
Liu J; Tan G; Lan W; Wang J
BMC Bioinformatics; 2020 Nov; 21(Suppl 6):123. PubMed ID: 33203351
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]