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Cited by in F6Publishing
For: 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]
Number Citing Articles
1 Han R, Liu Z, Chen CP. Multi-scale 3D convolution feature-based Broad Learning System for Alzheimer’s Disease diagnosis via MRI images. Applied Soft Computing 2022. [DOI: 10.1016/j.asoc.2022.108660] [Reference Citation Analysis]
2 Tufail AB, Ma Y, Kaabar MKA, Rehman AU, Khan R, Cheikhrouhou O. Classification of Initial Stages of Alzheimer’s Disease through Pet Neuroimaging Modality and Deep Learning: Quantifying the Impact of Image Filtering Approaches. Mathematics 2021;9:3101. [DOI: 10.3390/math9233101] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
3 Hazarika RA, Abraham A, Kandar D, Maji AK. An Improved LeNet-Deep Neural Network Model for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Images. IEEE Access 2021;9:161194-207. [DOI: 10.1109/access.2021.3131741] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Tufail AB, Ullah K, Khan RA, Shakir M, Khan MA, Ullah I, Ma Y, Ali MS, Bashir AK. On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer’s Disease Using Neuroimaging Modalities and Data Augmentation Methods. Journal of Healthcare Engineering 2022;2022:1-14. [DOI: 10.1155/2022/1302170] [Reference Citation Analysis]
5 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]