205 related articles for article (PubMed ID: 32926392)
1. Multi-class diagnosis of Alzheimer's disease using cascaded three dimensional-convolutional neural network.
Raju M; Gopi VP; Anitha VS; Wahid KA
Phys Eng Sci Med; 2020 Dec; 43(4):1219-1228. PubMed ID: 32926392
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer's disease diagnosis.
Li A; Li F; Elahifasaee F; Liu M; Zhang L;
Brain Imaging Behav; 2021 Oct; 15(5):2330-2339. PubMed ID: 33398778
[TBL] [Abstract][Full Text] [Related]
5. RNN-based longitudinal analysis for diagnosis of Alzheimer's disease.
Cui R; Liu M;
Comput Med Imaging Graph; 2019 Apr; 73():1-10. PubMed ID: 30763637
[TBL] [Abstract][Full Text] [Related]
6. A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease.
Li F; Liu M;
J Neurosci Methods; 2019 Jul; 323():108-118. PubMed ID: 31132373
[TBL] [Abstract][Full Text] [Related]
7. Temporal and Spatial Analysis of Alzheimer's Disease Based on an Improved Convolutional Neural Network and a Resting-State FMRI Brain Functional Network.
Sun H; Wang A; He S
Int J Environ Res Public Health; 2022 Apr; 19(8):. PubMed ID: 35457373
[TBL] [Abstract][Full Text] [Related]
8. Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks.
Li F; Liu M;
Comput Med Imaging Graph; 2018 Dec; 70():101-110. PubMed ID: 30340094
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Convolutional Neural Network-based MR Image Analysis for Alzheimer's Disease Classification.
Choi BK; Madusanka N; Choi HK; So JH; Kim CH; Park HG; Bhattacharjee S; Prakash D
Curr Med Imaging Rev; 2020; 16(1):27-35. PubMed ID: 31989891
[TBL] [Abstract][Full Text] [Related]
11. [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]
12. Spatio-temporal convolution for classification of alzheimer disease and mild cognitive impairment.
Turhan G; Küçük H; Isik EO
Comput Methods Programs Biomed; 2022 Jun; 221():106825. PubMed ID: 35636355
[TBL] [Abstract][Full Text] [Related]
13. [Early diagnosis of Alzheimer's disease based on three-dimensional convolutional neural networks ensemble model combined with genetic algorithm].
Pan D; Zou C; Rong H; Zeng A
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Feb; 38(1):47-55. PubMed ID: 33899427
[TBL] [Abstract][Full Text] [Related]
14. A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification.
Zhang J; Zheng B; Gao A; Feng X; Liang D; Long X
Magn Reson Imaging; 2021 May; 78():119-126. PubMed ID: 33588019
[TBL] [Abstract][Full Text] [Related]
15. ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease.
Apostolova LG; Hwang KS; Kohannim O; Avila D; Elashoff D; Jack CR; Shaw L; Trojanowski JQ; Weiner MW; Thompson PM;
Neuroimage Clin; 2014; 4():461-72. PubMed ID: 24634832
[TBL] [Abstract][Full Text] [Related]
16. A novel method for early diagnosis of Alzheimer's disease based on pseudo Zernike moment from structural MRI.
Gorji HT; Haddadnia J
Neuroscience; 2015 Oct; 305():361-71. PubMed ID: 26265552
[TBL] [Abstract][Full Text] [Related]
17. Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images.
Liu M; Cheng D; Yan W;
Front Neuroinform; 2018; 12():35. PubMed ID: 29970996
[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. Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets.
Toshkhujaev S; Lee KH; Choi KY; Lee JJ; Kwon GR; Gupta Y; Lama RK
J Healthc Eng; 2020; 2020():3743171. PubMed ID: 32952988
[TBL] [Abstract][Full Text] [Related]
20. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]