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For: Zhang YD, Dong Z, Wang SH, Yu X, Yao X, Zhou Q, Hu H, Li M, Jiménez-Mesa C, Ramirez J, Martinez FJ, Gorriz JM. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Inf Fusion 2020;64:149-87. [PMID: 32834795 DOI: 10.1016/j.inffus.2020.07.006] [Cited by in Crossref: 36] [Cited by in F6Publishing: 9] [Article Influence: 18.0] [Reference Citation Analysis]
Number Citing Articles
1 Mangla C, Rani S, Herencsar N. An energy-efficient and secure framework for IoMT: An application of smart cities. Sustainable Energy Technologies and Assessments 2022;53:102335. [DOI: 10.1016/j.seta.2022.102335] [Reference Citation Analysis]
2 Ahmed AI, Chiverton JP, Ndzi DL, Al-faris MM. Channel and channel subband selection for speaker diarization. Computer Speech & Language 2022;75:101367. [DOI: 10.1016/j.csl.2022.101367] [Reference Citation Analysis]
3 Zhang M, Tian G, Gao H, Liu S, Zhang Y. Multimodal feature fusion and exploitation with dual learning and reinforcement learning for recipe generation. Applied Soft Computing 2022;126:109281. [DOI: 10.1016/j.asoc.2022.109281] [Reference Citation Analysis]
4 Ershadi MM, Seifi A. Applications of dynamic feature selection and clustering methods to medical diagnosis. Applied Soft Computing 2022;126:109293. [DOI: 10.1016/j.asoc.2022.109293] [Reference Citation Analysis]
5 Nair RR, Singh T, Basavapattana A, Pawar MM. Multi-layer, multi-modal medical image intelligent fusion. Multimed Tools Appl. [DOI: 10.1007/s11042-022-13482-y] [Reference Citation Analysis]
6 Feng J, Zhang L, Chen C, Sheng J, Ye Z, Feng K, Liu J, Cai Y, Zhu B, Yu Z, Chen C, Dong Q, Xue G. A cognitive neurogenetic approach to uncovering the structure of executive functions. Nat Commun 2022;13:4588. [PMID: 35933428 DOI: 10.1038/s41467-022-32383-0] [Reference Citation Analysis]
7 Chen Q, Li M, Chen C, Zhou P, Lv X, Chen C. MDFNet: application of multimodal fusion method based on skin image and clinical data to skin cancer classification. J Cancer Res Clin Oncol 2022. [PMID: 35918465 DOI: 10.1007/s00432-022-04180-1] [Reference Citation Analysis]
8 Chen J, Patil KR, Yeo BT, Eickhoff SB. Leveraging machine learning for gaining neurobiological and nosological insights in psychiatric research. Biological Psychiatry 2022. [DOI: 10.1016/j.biopsych.2022.07.025] [Reference Citation Analysis]
9 Lautman Z, Winetraub Y, Blacher E, Yu C, Terem I, Chibukhchyan A, Marshel JH, de la Zerda A. Intravital 3D visualization and segmentation of murine neural networks at micron resolution. Sci Rep 2022;12:13130. [PMID: 35907928 DOI: 10.1038/s41598-022-14450-0] [Reference Citation Analysis]
10 Montalbo FJP. Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block. Biomedical Signal Processing and Control 2022;76:103683. [DOI: 10.1016/j.bspc.2022.103683] [Reference Citation Analysis]
11 Said RR, Yong WQ, Bin Heyat MB, Ali L, Qiang S, Ali A, Rauf HT, Wu Z. Design of a Smart Elbow Brace as a Home-Based Rehabilitation Device. Comput Intell Neurosci 2022;2022:3754931. [PMID: 35755722 DOI: 10.1155/2022/3754931] [Reference Citation Analysis]
12 Gupta A, Singh A. An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques. New Gener Comput 2022;:1-31. [PMID: 35730007 DOI: 10.1007/s00354-022-00175-1] [Reference Citation Analysis]
13 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]
14 Umair MB, Iqbal Z, Khan FZ, Khan MA, Kadry S. A Deep Learning Based Method for Network Application Classification in Software-Defined IoT. Int J Unc Fuzz Knowl Based Syst 2022;30:463-77. [DOI: 10.1142/s0218488522400165] [Reference Citation Analysis]
15 Zhu J, Zhang X, Wang R, Wang M, Chen P, Cheng L, Wu Z, Wang Y, Liu Q, Liu M. A Heterogeneously Integrated Spiking Neuron Array for Multimode-Fused Perception and Object Classification. Adv Mater 2022;:e2200481. [PMID: 35429020 DOI: 10.1002/adma.202200481] [Reference Citation Analysis]
16 Kavita P, Alli DR, Rao AB. Study of Image Fusion Optimization Techniques for Medical Applications. International Journal of Cognitive Computing in Engineering 2022. [DOI: 10.1016/j.ijcce.2022.05.002] [Reference Citation Analysis]
17 Liu L, Wang T, Du X, Zhang X, Xue C, Ma Y, Wang D. Concurrent Structural and Functional Patterns in Patients With Amnestic Mild Cognitive Impairment. Front Aging Neurosci 2022;14:838161. [DOI: 10.3389/fnagi.2022.838161] [Reference Citation Analysis]
18 Barın S, Güraksın GE. An automatic skin lesion segmentation system with hybrid FCN-ResAlexNet. Engineering Science and Technology, an International Journal 2022. [DOI: 10.1016/j.jestch.2022.101174] [Reference Citation Analysis]
19 Dinh P. A novel approach using structure tensor for medical image fusion. Multidim Syst Sign Process. [DOI: 10.1007/s11045-022-00829-9] [Reference Citation Analysis]
20 Wang G, Li W, Gao X, Xiao B, Du J. Multimodal medical image fusion based on multichannel coupled neural P systems and max-cloud models in spectral total variation domain. Neurocomputing 2022;480:61-75. [DOI: 10.1016/j.neucom.2022.01.059] [Reference Citation Analysis]
21 Liu S, Xiao Z, You X, Su R. Multistrategy boosted multicolony whale virtual parallel optimization approaches. Knowledge-Based Systems 2022;242:108341. [DOI: 10.1016/j.knosys.2022.108341] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Li W, Li R, Fu J, Peng X. MSENet: A multi-scale enhanced network based on unique features guidance for medical image fusion. Biomedical Signal Processing and Control 2022;74:103534. [DOI: 10.1016/j.bspc.2022.103534] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Zhou Z, Ji H, Zhu Z. Online sequential fuzzy dropout extreme learning machine compensate for sliding-mode control system errors of uncertain robot manipulator. Int J Mach Learn & Cyber . [DOI: 10.1007/s13042-022-01513-x] [Reference Citation Analysis]
24 Kuai H, Tao X, Zhong N. Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world. World Wide Web. [DOI: 10.1007/s11280-022-01030-5] [Reference Citation Analysis]
25 Baloni D, Verma SK. Detection of hydrocephalus using deep convolutional neural network in medical science. Multimed Tools Appl 2022;81:16171-93. [DOI: 10.1007/s11042-022-11953-w] [Reference Citation Analysis]
26 Guo D, Zhang G, Neri F, Peng S, Yang Q, Liu P. An Adaptive kernelized correlation filters with multiple features in the tracking application. Journal of Visual Communication and Image Representation 2022. [DOI: 10.1016/j.jvcir.2022.103484] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Medeiros GC, Twose C, Weller A, Dougherty JW, Goes FS, Sair HI, Smith GS, Roy D. Neuroimaging correlates of depression after traumatic brain injury: A systematic review. J Neurotrauma 2022. [PMID: 35229629 DOI: 10.1089/neu.2021.0374] [Reference Citation Analysis]
28 Yan J, Zhang Y, Kang B, Zhu W, Lun DP. Multiple Binocular Cameras-Based Indoor Localization Technique Using Deep Learning and Multimodal Fusion. IEEE Sensors J 2022;22:1597-608. [DOI: 10.1109/jsen.2021.3133488] [Reference Citation Analysis]
29 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]
30 Saeed S, Haron H, Jhanjhi N, Naqvi M, Alhumyani HA, Masud M. . MBE 2022;19:9039-59. [DOI: 10.3934/mbe.2022420] [Reference Citation Analysis]
31 Cui Y, Liu F, Jiao L, Guo Y, Liang X, Li L, Yang S, Qian X. Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification. IEEE Trans Geosci Remote Sensing 2022;60:1-18. [DOI: 10.1109/tgrs.2021.3071559] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
32 Zhang X, Zhou Z. Classifying colour differences in dyed fabrics using an improved hunger games search optimised random vector functional link. Journal of Engineered Fibers and Fabrics 2022;17:155892502211115. [DOI: 10.1177/15589250221111508] [Reference Citation Analysis]
33 Li X, Tan J, Wang P, Liu H, Li Z, Wang W. Anatomically constrained squeeze-and-excitation graph attention network for cortical surface parcellation. Comput Biol Med 2021;140:105113. [PMID: 34891094 DOI: 10.1016/j.compbiomed.2021.105113] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
34 Muhammad G, Alshehri F, Karray F, Saddik AE, Alsulaiman M, Falk TH. A comprehensive survey on multimodal medical signals fusion for smart healthcare systems. Information Fusion 2021;76:355-75. [DOI: 10.1016/j.inffus.2021.06.007] [Cited by in Crossref: 7] [Article Influence: 7.0] [Reference Citation Analysis]
35 Zhang Y, Gorriz JM, Dong Z. Advances in multimodality data fusion in neuroimaging. Information Fusion 2021;76:87-8. [DOI: 10.1016/j.inffus.2021.05.010] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
36 López-García D, Peñalver JMG, Górriz JM, Ruz M. MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data. Comput Methods Programs Biomed 2021;214:106549. [PMID: 34910975 DOI: 10.1016/j.cmpb.2021.106549] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
37 Saleem F, Khan MA, Alhaisoni M, Tariq U, Armghan A, Alenezi F, Choi JI, Kadry S. Human Gait Recognition: A Single Stream Optimal Deep Learning Features Fusion. Sensors (Basel) 2021;21:7584. [PMID: 34833658 DOI: 10.3390/s21227584] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
38 Wang P, Guo M, Han Y, Zhao L, Zhou X, Zhang D. Ensemble learning-based hierarchical retrieval of similar cases for site planning. Journal of Computational Design and Engineering 2021;8:1548-61. [DOI: 10.1093/jcde/qwab058] [Reference Citation Analysis]
39 Hou SM, Jia CL, Hou MJ, Fernandes SL, Guo JC. A Study on Weak Edge Detection of COVID-19's CT Images Based on Histogram Equalization and Improved Canny Algorithm. Comput Math Methods Med 2021;2021:5208940. [PMID: 34745326 DOI: 10.1155/2021/5208940] [Reference Citation Analysis]
40 Wang W, Han R, Zhang M, Wang Y, Wang T, Wang Y, Shang X, Peng J. A network-based method for brain disease gene prediction by integrating brain connectome and molecular network. Brief Bioinform 2021:bbab459. [PMID: 34727570 DOI: 10.1093/bib/bbab459] [Reference Citation Analysis]
41 Kuai H, Zhong N, Chen J, Yang Y, Zhang X, Liang P, Imamura K, Ma L, Wang H. Multi-source brain computing with systematic fusion for smart health. Information Fusion 2021;75:150-67. [DOI: 10.1016/j.inffus.2021.03.009] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
42 Ma X, Wang Z, Hu S. Multi-focus image fusion based on multi-scale sparse representation. Journal of Visual Communication and Image Representation 2021;81:103328. [DOI: 10.1016/j.jvcir.2021.103328] [Reference Citation Analysis]
43 Xu Y. The influence of psychological abuse on children's aggressive behaviour. Aggression and Violent Behavior 2021. [DOI: 10.1016/j.avb.2021.101705] [Reference Citation Analysis]
44 Chen B, Liu Y, Zhang Z, Li Y, Zhang Z, Lu G, Yu H. Deep Active Context Estimation for Automated COVID-19 Diagnosis. ACM Trans Multimedia Comput Commun Appl 2021;17:1-22. [DOI: 10.1145/3457124] [Reference Citation Analysis]
45 Nawaz A, Rehman AU, Ali TM, Hayat Z, Rahim A, Uz Zaman UK, Ali AR. A Comprehensive Literature Review of Application of Artificial Intelligence in Functional Magnetic Resonance Imaging for Disease Diagnosis. Applied Artificial Intelligence. [DOI: 10.1080/08839514.2021.1982185] [Reference Citation Analysis]
46 Liu X, He J, Song L, Liu S, Srivastava G. Medical Image Classification based on an Adaptive Size Deep Learning Model. ACM Trans Multimedia Comput Commun Appl 2021;17:1-18. [DOI: 10.1145/3465220] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
47 Abdar M, Fahami MA, Chakrabarti S, Khosravi A, Pławiak P, Acharya UR, Tadeusiewicz R, Nahavandi S. BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Information Sciences 2021;577:353-78. [DOI: 10.1016/j.ins.2021.07.024] [Cited by in Crossref: 19] [Cited by in F6Publishing: 15] [Article Influence: 19.0] [Reference Citation Analysis]
48 Li M. Research on Extraction of Useful Tourism Online Reviews Based on Multimodal Feature Fusion. ACM Trans Asian Low-Resour Lang Inf Process 2021;20:1-16. [DOI: 10.1145/3453694] [Reference Citation Analysis]
49 Dalvie S, Chatzinakos C, Al Zoubi O, Georgiadis F, Lancashire L, Daskalakis NP; PGC-PTSD Systems Biology workgroup. From genetics to systems biology of stress-related mental disorders. Neurobiol Stress 2021;15:100393. [PMID: 34584908 DOI: 10.1016/j.ynstr.2021.100393] [Reference Citation Analysis]
50 Asif M, Bin Ahmad M, Mushtaq S, Masood K, Mahmood T, Ali Nagra A. Long Multi-digit Number Recognition from Images Empowered by Deep Convolutional Neural Networks. The Computer Journal 2021. [DOI: 10.1093/comjnl/bxab117] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
51 Zhang F. Application of machine learning in CT images and X-rays of COVID-19 pneumonia. Medicine (Baltimore) 2021;100:e26855. [PMID: 34516488 DOI: 10.1097/MD.0000000000026855] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
52 Sufyan A, Imran M, Shah SA, Shahwani H, Wadood AA. A novel multimodality anatomical image fusion method based on contrast and structure extraction. Int J Imaging Syst Tech 2022;32:324-42. [DOI: 10.1002/ima.22649] [Reference Citation Analysis]
53 Wrigglesworth J, Ward P, Harding IH, Nilaweera D, Wu Z, Woods RL, Ryan J. Factors associated with brain ageing - a systematic review. BMC Neurol 2021;21:312. [PMID: 34384369 DOI: 10.1186/s12883-021-02331-4] [Reference Citation Analysis]
54 Li L, Wang Y, Zeng Y, Hou S, Huang G, Zhang L, Yan N, Ren L, Zhang Z. Multimodal Neuroimaging Predictors of Learning Performance of Sensorimotor Rhythm Up-Regulation Neurofeedback. Front Neurosci 2021;15:699999. [PMID: 34354567 DOI: 10.3389/fnins.2021.699999] [Reference Citation Analysis]
55 Bi S, Ma L, Shen T, Xu Y, Li F. Neural network assisted Kalman filter for INS/UWB integrated seamless quadrotor localization. PeerJ Comput Sci 2021;7:e630. [PMID: 34322594 DOI: 10.7717/peerj-cs.630] [Reference Citation Analysis]
56 Wang Y, Feng Z, Song L, Liu X, Liu S. Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning. Comput Math Methods Med 2021;2021:2485934. [PMID: 34306173 DOI: 10.1155/2021/2485934] [Reference Citation Analysis]
57 Rath A, Mishra D, Panda G, Satapathy SC. Heart disease detection using deep learning methods from imbalanced ECG samples. Biomedical Signal Processing and Control 2021;68:102820. [DOI: 10.1016/j.bspc.2021.102820] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 8.0] [Reference Citation Analysis]
58 Chakladar DD, Kumar P, Roy PP, Dogra DP, Scheme E, Chang V. A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG. Information Fusion 2021;71:17-27. [DOI: 10.1016/j.inffus.2021.01.004] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
59 Zhou Z, Liu D, Zhang J, Zhu Z, Yang D, Jiang L. Colour Difference Classification for Dyed Fabrics Based on Differential Evolution with Dynamic Parameter Selection to Optimise the Output Regularisation Extreme Learning Machine. FIBRES & TEXTILES in Eastern Europe 2021;29:97-102. [DOI: 10.5604/01.3001.0014.7794] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
60 Manssor SAF, Sun S, Elhassan MAM. Real-Time Human Recognition at Night via Integrated Face and Gait Recognition Technologies. Sensors (Basel) 2021;21:4323. [PMID: 34202659 DOI: 10.3390/s21134323] [Reference Citation Analysis]
61 Li B, Lima D. Facial expression recognition via ResNet-50. International Journal of Cognitive Computing in Engineering 2021;2:57-64. [DOI: 10.1016/j.ijcce.2021.02.002] [Cited by in Crossref: 7] [Article Influence: 7.0] [Reference Citation Analysis]
62 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]
63 Pi P, Lima D. Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis. International Journal of Cognitive Computing in Engineering 2021;2:93-103. [DOI: 10.1016/j.ijcce.2021.05.001] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
64 Zhang Y, Yu W, He L, Cui L, Cheng G. Signals classification based on IA-optimal CNN. Neural Comput Appl 2021;:1-19. [PMID: 34075279 DOI: 10.1007/s00521-021-05736-x] [Reference Citation Analysis]
65 Shao Y, Lin JC, Srivastava G, Jolfaei A, Guo D, Hu Y. Self-attention-based conditional random fields latent variables model for sequence labeling. Pattern Recognition Letters 2021;145:157-64. [DOI: 10.1016/j.patrec.2021.02.008] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 8.0] [Reference Citation Analysis]
66 Qi A, Muhammad K, Liu S. DYNAMICAL ANALYSIS OF THE MEMINDUCTOR-BASED CHAOTIC SYSTEM WITH HIDDEN ATTRACTOR. Fractals 2021;29:2140020. [DOI: 10.1142/s0218348x2140020x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
67 Zhang Y, Satapathy SC, Guttery DS, Górriz JM, Wang S. Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network. Information Processing & Management 2021;58:102439. [DOI: 10.1016/j.ipm.2020.102439] [Cited by in Crossref: 27] [Cited by in F6Publishing: 2] [Article Influence: 27.0] [Reference Citation Analysis]
68 Li G, Sun J, Song Y, Qu J, Zhu Z, Khosravi MR. Real-time classification of brain tumors in MRI images with a convolutional operator-based hidden Markov model. J Real-Time Image Proc 2021;18:1207-19. [DOI: 10.1007/s11554-021-01072-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
69 Zhou Z, Liu D, Guo J, Zhang J, Zhu Z, Wang C. Dyed fabric illumination estimation with regularized random vector function link network. Color Res Appl 2021;46:376-87. [DOI: 10.1002/col.22602] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
70 Zhang YD, Morabito FC, Shen D, Muhammad K. Advanced deep learning methods for biomedical information analysis: An editorial. Neural Netw 2021;133:101-2. [PMID: 33152566 DOI: 10.1016/j.neunet.2020.10.006] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
71 Morani AC, Mubarak AI, Jensen CT, Wagner-Bartak NA, Mukhi SV, Sun J, Goel A. CT angiographic evaluation of the V3 vertebral artery course in cases of occipitalized atlas, a study of 25 cases. Clin Imaging 2021;71:69-76. [PMID: 33171370 DOI: 10.1016/j.clinimag.2020.11.007] [Reference Citation Analysis]
72 Wang SH, Govindaraj VV, Górriz JM, Zhang X, Zhang YD. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network. Inf Fusion 2021;67:208-29. [PMID: 33052196 DOI: 10.1016/j.inffus.2020.10.004] [Cited by in Crossref: 48] [Cited by in F6Publishing: 16] [Article Influence: 24.0] [Reference Citation Analysis]
73 Yan Y. Gingivitis detection by fractional Fourier entropy with optimization of hidden neurons. International Journal of Cognitive Computing in Engineering 2020;1:36-44. [DOI: 10.1016/j.ijcce.2020.09.003] [Reference Citation Analysis]