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For: Jha D, Kim JI, Kwon GR. Diagnosis of Alzheimer's Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network. J Healthc Eng 2017;2017:9060124. [PMID: 29065663 DOI: 10.1155/2017/9060124] [Cited by in Crossref: 26] [Cited by in F6Publishing: 13] [Article Influence: 5.2] [Reference Citation Analysis]
Number Citing Articles
1 Khagi B, Kwon G, Lama R. Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine‐learning techniques. Int J Imaging Syst Technol 2019;29:297-310. [DOI: 10.1002/ima.22316] [Cited by in Crossref: 19] [Cited by in F6Publishing: 2] [Article Influence: 6.3] [Reference Citation Analysis]
2 Goyal P, Rani R, Singh K. State-of-the-Art Machine Learning Techniques for Diagnosis of Alzheimer’s Disease from MR-Images: A Systematic Review. Arch Computat Methods Eng. [DOI: 10.1007/s11831-021-09674-8] [Reference Citation Analysis]
3 Jha D, Kim JI, Choi MR, Kwon GR. Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier. Comput Intell Neurosci 2017;2017:4205141. [PMID: 29118808 DOI: 10.1155/2017/4205141] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
4 Khagi B, Kwon GR. Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNN. J Healthc Eng 2018;2018:3640705. [PMID: 30510671 DOI: 10.1155/2018/3640705] [Cited by in Crossref: 14] [Cited by in F6Publishing: 3] [Article Influence: 3.5] [Reference Citation Analysis]
5 Siddiqi MH, Alsayat A, Alhwaiti Y, Azad M, Alruwaili M, Alanazi S, Kamruzzaman MM, Khan A, Ahmad S. A Precise Medical Imaging Approach for Brain MRI Image Classification. Computational Intelligence and Neuroscience 2022;2022:1-15. [DOI: 10.1155/2022/6447769] [Reference Citation Analysis]
6 Gupta Y, Lama RK, Kwon GR; Alzheimer's Disease Neuroimaging Initiative. Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers. Front Comput Neurosci 2019;13:72. [PMID: 31680923 DOI: 10.3389/fncom.2019.00072] [Cited by in Crossref: 31] [Cited by in F6Publishing: 21] [Article Influence: 10.3] [Reference Citation Analysis]
7 Logan R, Williams BG, Ferreira da Silva M, Indani A, Schcolnicov N, Ganguly A, Miller SJ. Deep Convolutional Neural Networks With Ensemble Learning and Generative Adversarial Networks for Alzheimer's Disease Image Data Classification. Front Aging Neurosci 2021;13:720226. [PMID: 34483890 DOI: 10.3389/fnagi.2021.720226] [Reference Citation Analysis]
8 Liu J, Li M, Luo Y, Yang S, Li W, Bi Y. Alzheimer's disease detection using depthwise separable convolutional neural networks. Comput Methods Programs Biomed 2021;203:106032. [PMID: 33713959 DOI: 10.1016/j.cmpb.2021.106032] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
9 J L G, Abraham B, M S S, Nair MS. A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network. Comput Biol Med 2021;141:105134. [PMID: 34971978 DOI: 10.1016/j.compbiomed.2021.105134] [Reference Citation Analysis]
10 Lee B, Ellahi W, Choi JY. Using Deep CNN with Data Permutation Scheme for Classification of Alzheimer's Disease in Structural Magnetic Resonance Imaging (sMRI). IEICE Trans Inf & Syst 2019;E102.D:1384-95. [DOI: 10.1587/transinf.2018edp7393] [Cited by in Crossref: 12] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
11 Cui Z, Zheng X, Shao X, Cui L. Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments. Complexity 2018;2018:1-13. [DOI: 10.1155/2018/9248410] [Cited by in Crossref: 18] [Cited by in F6Publishing: 3] [Article Influence: 4.5] [Reference Citation Analysis]
12 Dhahri H, Al Maghayreh E, Mahmood A, Elkilani W, Faisal Nagi M. Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms. J Healthc Eng 2019;2019:4253641. [PMID: 31814951 DOI: 10.1155/2019/4253641] [Cited by in Crossref: 25] [Cited by in F6Publishing: 7] [Article Influence: 8.3] [Reference Citation Analysis]
13 Yamanakkanavar N, Choi JY, Lee B. MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer's Disease: A Survey. Sensors (Basel) 2020;20:E3243. [PMID: 32517304 DOI: 10.3390/s20113243] [Cited by in Crossref: 17] [Cited by in F6Publishing: 6] [Article Influence: 8.5] [Reference Citation Analysis]
14 Wen J, Thibeau-Sutre E, Diaz-Melo M, Samper-González J, Routier A, Bottani S, Dormont D, Durrleman S, Burgos N, Colliot O; Alzheimer's Disease Neuroimaging Initiative., Australian Imaging Biomarkers and Lifestyle flagship study of ageing. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. Med Image Anal 2020;63:101694. [PMID: 32417716 DOI: 10.1016/j.media.2020.101694] [Cited by in Crossref: 37] [Cited by in F6Publishing: 23] [Article Influence: 18.5] [Reference Citation Analysis]
15 Mendoza-Léon R, Puentes J, Uriza LF, Hernández Hoyos M. Single-slice Alzheimer's disease classification and disease regional analysis with Supervised Switching Autoencoders. Comput Biol Med 2020;116:103527. [PMID: 31765915 DOI: 10.1016/j.compbiomed.2019.103527] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
16 Chávez-Fumagalli MA, Shrivastava P, Aguilar-Pineda JA, Nieto-Montesinos R, Del-Carpio GD, Peralta-Mestas A, Caracela-Zeballos C, Valdez-Lazo G, Fernandez-Macedo V, Pino-Figueroa A, Vera-Lopez KJ, Lino Cardenas CL. Diagnosis of Alzheimer's Disease in Developed and Developing Countries: Systematic Review and Meta-Analysis of Diagnostic Test Accuracy. J Alzheimers Dis Rep 2021;5:15-30. [PMID: 33681713 DOI: 10.3233/ADR-200263] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Alinsaif S, Lang J; Alzheimer's Disease Neuroimaging Initiative. 3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data. Comput Biol Med 2021;138:104879. [PMID: 34598071 DOI: 10.1016/j.compbiomed.2021.104879] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
18 Feng Q, Ding Z. MRI Radiomics Classification and Prediction in Alzheimer's Disease and Mild Cognitive Impairment: A Review. Curr Alzheimer Res 2020;17:297-309. [PMID: 32124697 DOI: 10.2174/1567205017666200303105016] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]