1 |
Gao S, Lima D. A review of the application of deep learning in the detection of Alzheimer's disease. International Journal of Cognitive Computing in Engineering 2022;3:1-8. [DOI: 10.1016/j.ijcce.2021.12.002] [Reference Citation Analysis]
|
2 |
Roy S, Chandra A. On the detection of Alzheimer’s disease using fuzzy logic based majority voter classifier. Multimed Tools Appl. [DOI: 10.1007/s11042-022-13184-5] [Reference Citation Analysis]
|
3 |
Habuza T, Navaz AN, Hashim F, Alnajjar F, Zaki N, Serhani MA, Statsenko Y. AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine. Informatics in Medicine Unlocked 2021;24:100596. [DOI: 10.1016/j.imu.2021.100596] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
|
4 |
Abdulazeem Y, Bahgat WM, Badawy M. A CNN based framework for classification of Alzheimer’s disease. Neural Comput & Applic 2021;33:10415-28. [DOI: 10.1007/s00521-021-05799-w] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
|
5 |
Loddo A, Buttau S, Di Ruberto C. Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method. Comput Biol Med 2021;:105032. [PMID: 34838263 DOI: 10.1016/j.compbiomed.2021.105032] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
|
6 |
Jiang J, Zhang J, Li Z, Li L, Huang B; Alzheimer’s Disease Neuroimaging Initiative. Using Deep Learning Radiomics to Distinguish Cognitively Normal Adults at Risk of Alzheimer’s Disease From Normal Control: An Exploratory Study Based on Structural MRI. Front Med 2022;9:894726. [DOI: 10.3389/fmed.2022.894726] [Reference Citation Analysis]
|
7 |
Choi JY, Lee B. Combining of Multiple Deep Networks via Ensemble Generalization Loss, Based on MRI Images, for Alzheimer's Disease Classification. IEEE Signal Process Lett 2020;27:206-10. [DOI: 10.1109/lsp.2020.2964161] [Cited by in Crossref: 15] [Cited by in F6Publishing: 4] [Article Influence: 7.5] [Reference Citation Analysis]
|