170 related articles for article (PubMed ID: 37126509)
1. Wide and deep learning based approaches for classification of Alzheimer's disease using genome-wide association studies.
Alatrany AS; Khan W; Hussain A; Al-Jumeily D;
PLoS One; 2023; 18(5):e0283712. PubMed ID: 37126509
[TBL] [Abstract][Full Text] [Related]
2. Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.
Jo T; Nho K; Bice P; Saykin AJ;
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35183061
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
Ramzan F; Khan MUG; Rehmat A; Iqbal S; Saba T; Rehman A; Mehmood Z
J Med Syst; 2019 Dec; 44(2):37. PubMed ID: 31853655
[TBL] [Abstract][Full Text] [Related]
5. Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data.
Alatrany AS; Khan W; Hussain AJ; Mustafina J; Al-Jumeily D
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):2700-2711. PubMed ID: 37018274
[TBL] [Abstract][Full Text] [Related]
6. A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease.
Mahendran N; P M DRV
Comput Biol Med; 2022 Feb; 141():105056. PubMed ID: 34839903
[TBL] [Abstract][Full Text] [Related]
7. Use of deep learning genomics to discriminate Alzheimer's disease and healthy controls.
Li L; Huang Y; Han Y; Jiang J
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():5788-5791. PubMed ID: 34892435
[TBL] [Abstract][Full Text] [Related]
8. Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer's Disease or Mild Cognitive Impairment.
Li L; Yang Y; Zhang Q; Wang J; Jiang J; Neuroimaging Initiative AD
Behav Neurol; 2021; 2021():3359103. PubMed ID: 34336000
[TBL] [Abstract][Full Text] [Related]
9. c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease.
Jemimah S; AlShehhi A;
BMC Med Genomics; 2023 Oct; 16(Suppl 2):244. PubMed ID: 37833700
[TBL] [Abstract][Full Text] [Related]
10. AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19.
Akter S; Das D; Haque RU; Quadery Tonmoy MI; Hasan MR; Mahjabeen S; Ahmed M
Comput Biol Med; 2022 Jul; 146():105657. PubMed ID: 35672170
[TBL] [Abstract][Full Text] [Related]
11. 3D-Deep Learning Based Automatic Diagnosis of Alzheimer's Disease with Joint MMSE Prediction Using Resting-State fMRI.
Duc NT; Ryu S; Qureshi MNI; Choi M; Lee KH; Lee B
Neuroinformatics; 2020 Jan; 18(1):71-86. PubMed ID: 31093956
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives.
Illakiya T; Karthik R
Neuroinformatics; 2023 Apr; 21(2):339-364. PubMed ID: 36884142
[TBL] [Abstract][Full Text] [Related]
14. Disentangling Accelerated Cognitive Decline from the Normal Aging Process and Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach.
Dai Y; Hsu YC; Fernandes BS; Zhang K; Li X; Enduru N; Liu A; Manuel AM; Jiang X; Zhao Z;
J Alzheimers Dis; 2024; 97(4):1807-1827. PubMed ID: 38306043
[TBL] [Abstract][Full Text] [Related]
15. Discovery of Genetic Biomarkers for Alzheimer's Disease Using Adaptive Convolutional Neural Networks Ensemble and Genome-Wide Association Studies.
Zeng A; Rong H; Pan D; Jia L; Zhang Y; Zhao F; Peng S;
Interdiscip Sci; 2021 Dec; 13(4):787-800. PubMed ID: 34410590
[TBL] [Abstract][Full Text] [Related]
16. Early detection of Alzheimer's disease using single nucleotide polymorphisms analysis based on gradient boosting tree.
Ahmed H; Soliman H; Elmogy M
Comput Biol Med; 2022 Jul; 146():105622. PubMed ID: 35751201
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.
Ljubic B; Roychoudhury S; Cao XH; Pavlovski M; Obradovic S; Nair R; Glass L; Obradovic Z
Comput Methods Programs Biomed; 2020 Dec; 197():105765. PubMed ID: 33011665
[TBL] [Abstract][Full Text] [Related]
19. Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data.
Jo T; Kim J; Bice P; Huynh K; Wang T; Arnold M; Meikle PJ; Giles C; Kaddurah-Daouk R; Saykin AJ; Nho K; ;
EBioMedicine; 2023 Nov; 97():104820. PubMed ID: 37806288
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer's Disease.
Chakraborty D; Zhuang Z; Xue H; Fiecas MB; Shen X; Pan W;
Genes (Basel); 2023 Mar; 14(3):. PubMed ID: 36980898
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]