BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Zhang Y, Wang S, Sui Y, Yang M, Liu B, Cheng H, Sun J, Jia W, Phillips P, Gorriz JM. Multivariate Approach for Alzheimer's Disease Detection Using Stationary Wavelet Entropy and Predator-Prey Particle Swarm Optimization. J Alzheimers Dis 2018;65:855-69. [PMID: 28731432 DOI: 10.3233/JAD-170069] [Cited by in Crossref: 59] [Cited by in F6Publishing: 7] [Article Influence: 19.7] [Reference Citation Analysis]
Number Citing Articles
1 Daud SNSS, Sudirman R. Effect of audiovisual stimulation on adult memory performance based electroencephalography wavelet analysis. Biomedical Signal Processing and Control 2022;76:103659. [DOI: 10.1016/j.bspc.2022.103659] [Reference Citation Analysis]
2 Li R, Wang X, Lawler K, Garg S, Bai Q, Alty J. Applications of Artificial Intelligence to aid detection of dementia: a scoping review on current capabilities and future directions. Journal of Biomedical Informatics 2022. [DOI: 10.1016/j.jbi.2022.104030] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Pervaiz S, Ul-Qayyum Z, Bangyal WH, Gao L, Ahmad J. A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection. Comput Math Methods Med 2021;2021:5990999. [PMID: 34557257 DOI: 10.1155/2021/5990999] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Wang SH, Phillips P, Sui Y, Liu B, Yang M, Cheng H. Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling. J Med Syst 2018;42:85. [PMID: 29577169 DOI: 10.1007/s10916-018-0932-7] [Cited by in Crossref: 96] [Cited by in F6Publishing: 48] [Article Influence: 24.0] [Reference Citation Analysis]
5 Kar S, Das Sharma K, Maitra M. Optimised Feature Selection for Identification of Carcinogenic Leukocytes Using Weighted Aggregation Based Transposition PSO. IETE Journal of Research. [DOI: 10.1080/03772063.2019.1682076] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
6 Chen S. Quantum-Behaved Particle Swarm Optimization with Weighted Mean Personal Best Position and Adaptive Local Attractor. Information 2019;10:22. [DOI: 10.3390/info10010022] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
7 Jin L, Zhao K, Zhao Y, Che T, Li S. A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data. Front Neuroinform 2022;16:843566. [DOI: 10.3389/fninf.2022.843566] [Reference Citation Analysis]
8 Meng X, Wu Y, Liu W, Wang Y, Xu Z, Jiao Z. Research on Voxel-Based Features Detection and Analysis of Alzheimer’s Disease Using Random Survey Support Vector Machine. Front Neuroinform 2022;16:856295. [DOI: 10.3389/fninf.2022.856295] [Reference Citation Analysis]
9 Lee J, Park J, Kim HC, Kim DW. Competitive Particle Swarm Optimization for Multi-Category Text Feature Selection. Entropy (Basel) 2019;21:E602. [PMID: 33267316 DOI: 10.3390/e21060602] [Cited by in Crossref: 4] [Article Influence: 1.3] [Reference Citation Analysis]
10 Zhang Y, Xi Z, Zheng J, Shi H, Jiao Z. GWLS: A Novel Model for Predicting Cognitive Function Scores in Patients With End-Stage Renal Disease. Front Aging Neurosci 2022;14:834331. [DOI: 10.3389/fnagi.2022.834331] [Reference Citation Analysis]
11 Saravanakumar S, Thangaraj P. A Computer Aided Diagnosis System for Identifying Alzheimer's from MRI Scan using Improved Adaboost. J Med Syst 2019;43:76. [PMID: 30756191 DOI: 10.1007/s10916-018-1147-7] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
12 Ansari G, Ahmad T, Doja MN. Hybrid Filter–Wrapper Feature Selection Method for Sentiment Classification. Arab J Sci Eng 2019;44:9191-208. [DOI: 10.1007/s13369-019-04064-6] [Cited by in Crossref: 11] [Cited by in F6Publishing: 2] [Article Influence: 3.7] [Reference Citation Analysis]
13 Jiao Z, Chen S, Shi H, Xu J. Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification. Brain Sciences 2022;12:80. [DOI: 10.3390/brainsci12010080] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
14 Cheng S, Lu F, Peng P, Wu S. Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting. Knowledge-Based Systems 2019;180:116-32. [DOI: 10.1016/j.knosys.2019.05.023] [Cited by in Crossref: 13] [Cited by in F6Publishing: 2] [Article Influence: 4.3] [Reference Citation Analysis]
15 Gao S. Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis. International Journal of Cognitive Computing in Engineering 2021;2:116-29. [DOI: 10.1016/j.ijcce.2021.08.002] [Reference Citation Analysis]
16 Wang S, Tang C, Sun J, Zhang Y. Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network. Front Neurosci 2019;13:422. [PMID: 31156359 DOI: 10.3389/fnins.2019.00422] [Cited by in Crossref: 30] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]
17 Shankar VG, Sisodia DS, Chandrakar P. A novel discriminant feature selection–based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction. Int J Imaging Syst Tech. [DOI: 10.1002/ima.22685] [Reference Citation Analysis]
18 Meng X, Liu J, Fan X, Bian C, Wei Q, Wang Z, Liu W, Jiao Z. Multi-Modal Neuroimaging Neural Network-Based Feature Detection for Diagnosis of Alzheimer’s Disease. Front Aging Neurosci 2022;14:911220. [DOI: 10.3389/fnagi.2022.911220] [Reference Citation Analysis]
19 El-sappagh S, Saleh H, Sahal R, Abuhmed T, Islam SR, Ali F, Amer E. Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data. Future Generation Computer Systems 2021;115:680-99. [DOI: 10.1016/j.future.2020.10.005] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 6.0] [Reference Citation Analysis]
20 Zhang W, Zhang T, Pan T, Zhao S, Nie B, Liu H, Shan B; Alzheimer’s Disease Neuroimaging Initiative. Deep Learning With 18F-Fluorodeoxyglucose-PET Gives Valid Diagnoses for the Uncertain Cases in Memory Impairment of Alzheimer's Disease. Front Aging Neurosci 2021;13:764272. [PMID: 34975455 DOI: 10.3389/fnagi.2021.764272] [Reference Citation Analysis]
21 Acharya UR, Fernandes SL, WeiKoh JE, Ciaccio EJ, Fabell MKM, Tanik UJ, Rajinikanth V, Yeong CH. Automated Detection of Alzheimer's Disease Using Brain MRI Images- A Study with Various Feature Extraction Techniques. J Med Syst 2019;43:302. [PMID: 31396722 DOI: 10.1007/s10916-019-1428-9] [Cited by in Crossref: 78] [Cited by in F6Publishing: 30] [Article Influence: 26.0] [Reference Citation Analysis]
22 Jiao Z, Ji Y, Zhang J, Shi H, Wang C. Constructing Dynamic Functional Networks via Weighted Regularization and Tensor Low-Rank Approximation for Early Mild Cognitive Impairment Classification. Front Cell Dev Biol 2020;8:610569. [PMID: 33505965 DOI: 10.3389/fcell.2020.610569] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
23 Jiao Z, Ming X, Cao Y, Cheng C, Wang S. Module partitioning for multilayer brain functional network using weighted clustering ensemble. J Ambient Intell Human Comput. [DOI: 10.1007/s12652-019-01535-4] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
24 Chai X. Diagnosis Method of Thyroid Disease Combining Knowledge Graph and Deep Learning. IEEE Access 2020;8:149787-95. [DOI: 10.1109/access.2020.3016676] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
25 Balasubramanian K, Np A, K R. Prediction of neuro-degenerative disorders using sunflower optimisation algorithm and Kernel extreme learning machine: A case-study with Parkinson's and Alzheimer's disease. Proc Inst Mech Eng H 2021;:9544119211060989. [PMID: 34923855 DOI: 10.1177/09544119211060989] [Reference Citation Analysis]
26 Raghavaiah P, Varadarajan S. A CAD system design to diagnosize alzheimers disease from MRI brain images using optimal deep neural network. Multimed Tools Appl 2021;80:26411-28. [DOI: 10.1007/s11042-021-10928-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
27 Ahmed EM, Rathinam R, Dayalan S, Fernandez GS, Ali ZM, Abdel Aleem SHE, Omar AI. A Comprehensive Analysis of Demand Response Pricing Strategies in a Smart Grid Environment Using Particle Swarm Optimization and the Strawberry Optimization Algorithm. Mathematics 2021;9:2338. [DOI: 10.3390/math9182338] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 7.0] [Reference Citation Analysis]
28 Haider NS, Behera A. Computerized lung sound based classification of asthma and chronic obstructive pulmonary disease (COPD). Biocybernetics and Biomedical Engineering 2022;42:42-59. [DOI: 10.1016/j.bbe.2021.12.004] [Reference Citation Analysis]
29 Feng J, Zhang S, Chen L, Zuo C. Detection of Alzheimer’s Disease Using Features of Brain Region-of-Interest-Based Individual Network Constructed with the sMRI Image. Computerized Medical Imaging and Graphics 2022. [DOI: 10.1016/j.compmedimag.2022.102057] [Reference Citation Analysis]
30 Mar J, Gorostiza A, Ibarrondo O, Cernuda C, Arrospide A, Iruin Á, Larrañaga I, Tainta M, Ezpeleta E, Alberdi A. Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data. J Alzheimers Dis 2020;77:855-64. [PMID: 32741825 DOI: 10.3233/JAD-200345] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
31 Meng X, Zhang J. Anxiety Recognition of College Students Using a Takagi-Sugeno-Kang Fuzzy System Modeling Method and Deep Features. IEEE Access 2020;8:159897-905. [DOI: 10.1109/access.2020.3021092] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
32 Sharma S, Mandal PK. A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data. ACM Comput Surv 2023;55:1-44. [DOI: 10.1145/3492865] [Reference Citation Analysis]
33 Araghi TK, Manaf AA. An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on DWT and 2-D SVD. Future Generation Computer Systems 2019;101:1223-46. [DOI: 10.1016/j.future.2019.07.064] [Cited by in Crossref: 41] [Cited by in F6Publishing: 2] [Article Influence: 13.7] [Reference Citation Analysis]
34 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]
35 Engelbrecht AP, Grobler J, Langeveld J. Set based particle swarm optimization for the feature selection problem. Engineering Applications of Artificial Intelligence 2019;85:324-36. [DOI: 10.1016/j.engappai.2019.06.008] [Cited by in Crossref: 21] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]
36 Too J, Abdullah A, Mohd Saad N, Tee W. EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization. Computation 2019;7:12. [DOI: 10.3390/computation7010012] [Cited by in Crossref: 35] [Article Influence: 11.7] [Reference Citation Analysis]
37 Feng J, Zhang S, Chen L, Xia J. Alzheimer’s disease classification using features extracted from nonsubsampled contourlet subband-based individual networks. Neurocomputing 2021;421:260-72. [DOI: 10.1016/j.neucom.2020.09.012] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]