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  • S Goh, Z Dong, Y Zhang, S DiMauro, B S. Peterson, Mitochondrial dysfunction as a neurobiological subtype of autism spectrum disorder: evidence from brain imaging. JAMA Psychiatry, 2014, 71(6): 665-671
  • C Kang, X Yu, S H Wang, D S Guttery, H M Pandey, Y Tian, Y D ZhangA Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring, IEEE Transactions on Fuzzy Systems, 2020, doi: 10.1109/TFUZZ.2020.2966163
  • P Qian, Y Chen, J W Kuo, Y D Zhang, et al, mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification, IEEE Transactions on Medical Imaging, 2019, doi: 10.1109/TMI.2019.2935916
  • Y Chen, Y Zhang, J Yang, Q Cao, G Yang, J Chen, H Shu, L Luo, J-L Coatrieux, Q Feng, Curve-like structure extraction using minimal path propagation with backtracking, IEEE Transactions on Image Processing. 2016, 25(2): 988-1003
  • X Mao, L Ding, Y Zhang, et al, Knowledge-aided Two-dimensional Autofocus for Spotlight SAR Filtered Backprojection Imagery, IEEE Transactions on Geoscience and Remote Sensing, 2019, doi: 10.1109/TGRS.2019.2924221
  • Y Zhang, et al, Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for Compressed Sensing Magnetic Resonance Imaging. Information Sciences, 2015, 322: 115-132 (ESI Hot Paper)
  • Y Zhang, et al, Binary PSO with Mutation Operator for Feature Selection using Decision Tree applied to Spam Detection. Knowledge-Based Systems, 2014, 64: 22-31 (ESI Highly Cited Paper)
  • X Hu, S Liu*, Y Zhang, G Zhao, C Jiang, Identifying top persuaders in mixed trust networks for electronic marketing based on word-of-mouth, Knowledge-based Systems, 2019, doi: 10.1016/j.knosys.2019.06.011
  • Y Karaca, M Moonis, Y D Zhang, C Gezgez, Mobile Cloud Computing Based Stroke Healthcare System, International Journal of Information Management, 2019, 45: 250-261
  • I Mehmood*, Z Lv*, Y-D Zhang*, K Ota*, M Sajjad*, A K Singh*, Mobile Cloud-Assisted Paradigms for Management of Multimedia Big Data in Healthcare Systems: Research Challenges and Opportunities, International Journal of Information Management, 2019, 45: 246-249
  • S H Wang, Y-D Zhang*, et al, Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression, Integrated Computer-Aided Engineering, 2019, doi: 10.3233/ICA-190605
  • A Vishnuvarthanan, M P Rajasekaran, V Govindaraj, Y Zhang, A Thiyagarajan, An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images. Applied Soft Computing, 2017, 57: 399-426
  • S H Wang, K Muhammad, J Hong, A K Sangaiah, Y D Zhang*, Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization, Neural Computing and Applications, 2019, doi: 10.1007/s00521-018-3924-0
  • A Vishnuvarthanan, M P Rajasekaran, V Govindaraj, Y Zhang, A Thiyagarajan, Development of a Combinational Framework to Concurrently Perform Tissue Segmentation and Tumor Identification in T1 - W, T2 - W, FLAIR and MPR type Magnetic Resonance Brain Images, Expert Systems with Applications, 2018, 95: 280-311
  • Y Zhang, et al, A hybrid method for MRI brain image classification, Expert Systems with Applications, 2011, 38(8): 10049-10053
  • Y Zhang*, et al, Find multi-objective paths in stochastic networks via chaotic immune PSO, Expert Systems with Applications, 2010, 37(3): 1911-1919
  • Y Zhang, L Wu, Stock Market Prediction of S&P 500 via combination of improved BCO approach and BP neural network, Expert systems with applications. 2009, 36(5): 8849-8854
  • Y Zhang, X Q Chen, T M Zhan, Z Q Jiao, Y Sun, Z M Chen, Y Yao, L T Fang, Y D Lv, S H Wang. Fractal dimension estimation for developing pathological brain detection system based on Minkowski-Bouligand method. IEEE Access, 2016, 4: 5937-5947
  • Y Zhang, Z Yang, H Lu, X X Zhou, P Phillips, Q M Liu, S Wang, Facial Emotion Recognition based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation, IEEE Access, 2016, 4: 8375-8385
  • S Xie, X Zheng, W Shao, Y-D Zhang, T Lv, H Li, Non-blind image deblurring method by the total variation deep network, IEEE Access, 2019, 7: 37536-37544
  • B Xiong, N Zeng*, L Han, Y Yang, Y Li, M Huang, W Shi, M Du*, Y Zhang*, Intelligent Prediction of Human Lower Extremity Joint Moment: an Artificial Neural Network Approach, IEEE Access, 2019, 7: 29973-29980
  • S H Wang, P Phillips, Z C Dong, Y D ZhangIntelligent Facial Emotion Recognition based on Stationary Wavelet Entropy and Jaya algorithm, Neurocomputing, 2018, 272: 668-676
  • Y Wang, N Cao, Z Liu, Y ZhangReal-time dynamic MRI using parallel dictionary learning and dynamic total variation. Neurocomputing. 2017, 238: 410-419
  • Y Chen, Y Zhang, et al, Structure-adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression. IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(2): 414-427
  • Y Zhang, et al, Image processing methods to elucidate spatial characteristics of retinal microglia after optic nerve transection. Scientific Reports, 2016, 6, Article ID: 21816
  • S Xie, X Zheng, Y Chen, L Xie, J Liu, Y Zhang, J Yan, H Zhu, YHu, Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction, Scientific Reports, 2018, 8, Article ID: 6700
  • Amin Nasiri, Amin Taheri-Garavand*, Yu-Dong ZhangImage-based deep learning automated sorting of date fruit, Postharvest Biology and Technology, 2019, 153: 133-141
  • S Wang, C Tang, J Sun, J Yang, C Huang*, P Phillips*, Y D Zhang*, Multiple sclerosis identification by 14-layer convolutional neural network with batch normalization, dropout, and stochastic pooling, Frontiers in Neuroscience, 2018, 12, Article ID: 818
  • S Wang, C Tang, J Sun, Y-D ZhangCerebral micro-bleeding detection based on Densely connected neural network, Frontiers in Neuroscience, 2019, 13, Article ID: 422
  • S Wang, Y Wu, Y ZhangExtreme learning machine used for focal liver lesion identification, Journal of gastroenterology and hepatology, 2017, 32 (S3): pp. 168
  • Y Zhang, et al, Fruit classification using computer vision and feedforward neural network, Journal of Food Engineering, 2014, 143: 167-177
  • Y Zhang*, et al, Comment on 'Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review (Food Research International 2014, 62: 326-343)’. Food Research International, 2015, 70: 142
  • Y Zhang, et al, Multivariate approach for Alzheimer’s disease detection using stationary wavelet entropy and predator-prey particle swarm optimization, Journal of Alzheimer’s Disease, 2018, 65(3): 855-869
  • S Wang, Y Zhang, et al, Detection of Alzheimer’s disease by Three Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging, Journal of Alzheimer’s Disease. 2016, 50(1): 233-248
  • Y Zhang#*, et al, Three-dimensional eigenbrain for the detection of subjects and brain regions related with Alzheimer’s disease, Journal of Alzheimer’s Disease, 2016, 50(4): 1163-1179
  • Z Dong, Y Zhang, F Liu, Y Duan, A Kangarlu, B Peterson,Improving the Spectral Resolution and Spectral Fitting of 1H MRSI Data from Human Calf Muscle by the SPREAD Technique. NMR in Biomedicine, 2014, 27(11): 1325-1332
  • S-H Wang#, S Xie#, X Chen#, D S Guttery#, C Tang*, J Sun*, Y-D Zhang*, Alcoholism identification based on an AlexNet transfer learning model, Frontiers in Psychiatry, 2019, 10, Article ID: 205
  • S Wan, Y Zhang, C Jia, On the Construction of Data Aggregation Tree with Maximizing Lifetime in Large Scale Wireless Sensor Networks, IEEE Sensors Journal, 2016, 16(20): 7433-7440
  • S Lu, S Wang, Y ZhangA note on the marker-based watershed method for X-ray image segmentation, Computer Methods and Programs in Biomedicine. 2017, 141: 1-2
  • Y Zhang, et al, A Support-Based Reconstruction for SENSE MRI. Sensors, 2013, 13(4): 4029-4040
  • Y Zhang, L Wu*, Classification of Fruits using Computer Vision and a Multiclass Support Vector Machine, Sensors, 2012, 12(9): 12489-12505
  • Y Zhang, L Wu*, Crop Classification by forward neural network with adaptive chaotic particle swarm optimization, Sensors, 2011, 11(5): 4721-4743
  • Y Zhang*, et al, Remote-sensing Image Classification Based on an Improved Probabilistic Neural Network. Sensors, 2009, 9(9): 7516-7539
  • Y Zhang*, L Wu, Pattern recognition via PCNN and Tsallis entropy, Sensors, 2008, 8(11):7518-7529
  • Y D Zhang#, et al, Synthetic Minority Oversampling Technique and Fractal Dimension for Identifying Multiple Sclerosis. Fractals. 2017, 25(4): Article ID: 1740010
  • Y Zhang, et al, Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC. Biomedical Signal Processing and Control, 2015, 21: 58-73
  • Y Zhang*, et al, Effect of Spider web plot in MR brain image classification. Pattern Recognition Letters, 2015, 62: 14-16
  • Y Zhang*, L Wu, G Wei, S Wang, A novel algorithm for all pairs shortest path problem based on matrix multiplication and pulse coupled neural network. Digital Signal Processing, 2011, 21(4): 517-521
  • S Wang, S Du, Y Zhang, P Phillips, L Wu, X Q Chen, Y Zhang*, Alzheimer’s Disease Detection by Pseudo Zernike Moment and Linear Regression Classification, CNS & Neurological Disorders - Drug Targets, 2017, 16(1): 11-15
  • S Lu, X Qiu, J Shi, N Li, Z Lu, P Chen, M M Yang, F Y Liu, W J Jia, Y Zhang*A Pathological Brain Detection System based on Extreme Learning Machine Optimized by Bat Algorithm, CNS & Neurological Disorders - Drug Targets, 2017, 16(1): 23-29
  • Y Zhang, L Wu*, G Wei, Color image enhancement based on HVS and PCNN, Science China Information Sciences, 2010, 53 (10): 1963-1976
  • Y Zhang*, L Wu, Improved image filter based on SPCNN, Science in China F edition: Information Science, 2008, 51(12): 2115-2125
  • Y Zhang*, L Wu, Segment-based Coding of Color Images, Science in China F edition: Information Science, 2009, 52(6): 914-925
  • S H Wang, K Muhammad*, Y Lv, Y Sui*, L Han*Y D Zhang*Identification of Alcoholism based on wavelet Renyi entropy and three-segment encoded Jaya algorithm, Complexity, 2018, vol. 2018, Article ID: 3198184
  • S H Wang, J Sun, P Phillips, G Zhao, Y D Zhang*Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units, Journal of Real-Time Image Processing, 2018, 15(3): 631-64 (ESI Hot Paper)
  • Y D Zhang#,*, et al, Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling, Journal of Computational Science, 2018, 27: 56-68
  • Y D Zhang#, et al, Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU, Journal of Computational Science, 2018, 28: 1-10
  • S Wang, Y Zhang*, X Yang, P Sun, Z Dong, A Liu, T F Yuan, Pathological brain detection by a novel image feature – fractional Fourier entropy. Entropy, 2015, 17(12): 8278-8296
  • S Wang*, Y Zhang*, G Ji, J Yang, J Wu, L Wei, Fruit classification by wavelet-entropy and feedforward neural network trained by fitness-scaled chaotic ABC and biogeography-based optimization. Entropy, 2015, 17(8): 5711-5728
  • Y Zhang*, Z Dong, S Wang, G Ji, J Yang. Preclinical diagnosis of magnetic resonance (MR) brain images via discrete wavelet packet transform with Tsallis entropy and generalized eigenvalue proximate support vector machine (GEPSVM). Entropy, 2015, 17(4): 1795-1813
  • S-H Wang, Y-D Lv, Y Sui, S Liu*, S-J Wang*, Y-D Zhang*, Alcoholism detection by data augmentation and convolutional neural network with stochastic pooling, Journal of Medical Systems, 2018, 42(1), Article ID: 2
  • S Lu, S Wang, Y Zhang*, A note on the weight of inverse complexity in improved hybrid genetic algorithm, Journal of Medical Systems, 2016, 40(6): 150
  • Y Zhang, et al, A multilayer perceptron based smart pathological brain detection system by fractional Fourier entropy. Journal of Medical Systems, 2016, 40(7): 173
  • H Lu, Y Li, Y Zhang, M Chen, S Serikawa, H Kim. Underwater Optical Image Processing: A Comprehensive Review, Mobile Networks and Applications, 2017, 22(6): 1204-1211
  • Y Zhang, S Wang, Z Dong, P Phillips, G Ji, J Yang, Pathological brain detection in magnetic resonance imaging scanning by wavelet entropy and hybridization of biogeography-based optimization and particle swarm optimization, Progress in Electromagnetics Research – PIER. 2015, 152: 41-58
  • Y Zhang*, S Wang, Z Dong, Classification of Alzheimer disease based on structural magnetic resonance imaging by kernel support vector machine decision tree. Progress in Electromagnetics Research-PIER, 2014, 144, 185-191
  • S Wang, M Chen, Y Li, Y Shao, Y Zhang, S Du*, J Y Wu*, Morphological analysis of dendrites and spines by hybridization of ridge detection with twin support vector machine, PeerJ. 2016, 4: e2207
  • Y Zhang, S Wang, Detection of Alzheimer's disease by displacement field and machine learning, PeerJ, 2015. 3:e1251
  • Y Zhang*, Z Dong, P Phillips, S Wang, G Ji, J Yang, T F Yuan*. Detection of subjects and brain regions related to Alzheimer’s disease using 3D MRI scans based on eigenbrain and machine learning, Frontiers in Computational Neuroscience, 2015, 9:66
  • S Wang, M Yang, S Du*, J Yang, B Liu, J M Gorriz*, J Ramírez*, T Yuan*, Y Zhang*, Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning, Frontiers in Computational Neuroscience, 2016, 10, Article ID: 160
  • X Xiao, J Zhao*, Y Qiang, H Wang, Y Xiao, X Zhang, Y Zhang*, An Automated Segmentation Method for Lung Parenchyma Image Sequences Based on Fractal Geometry and Convex Hull Algorithm, Applied Science, 2018, 8(5), Article ID: 832
  • S Wang, S Lu, Z Dong, J Yang, M Yang, Y Zhang*, Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine for Pathological Brain Detection, Applied Science, 2016, 6(6): 169
  • A Narayanan*, M. P Rajasekaran*, Y Zhang*, V Govindaraj*, A Thiyagarajan*, Multi-channeled MR brain image segmentation: a novel double optimization approach combined with clustering technique for tumor identification and tissue segmentation, Biocybernetics and Biomedical Engineering, 2019, 39(2): 350-381
  • S Alagarsamy, A P Thiyagarajan, V Govindaraj, Y-D Zhang, K Kamatchi, Multi-Channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors, Biocybernetics and Biomedical Engineering, 2019, doi: 10.1016/j.bbe.2019.05.007
  • Y Zhang*, J Yang, Z Dong, S Wang*, P Phillips, Pathological brain detection in MRI scanning via Hu moment invariants and machine learning, Journal of Experimental & Theoretical Artificial Intelligence, 2017, 29(2): 299-312
  • S Wang, Y Zhang, Y J Li, W J Jia, F Y Liu, M M Yang, Y D Zhang*, Single Slice based Detection for Alzheimer’s disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization. Multimedia Tools and Applications. 2018, 77(9): 10393-10417
  • Y-D Zhang#, Y Zhang#, X-X Hou#, H Chen#, S-H Wang*. Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed. Multimedia Tools and Applications. 2018, 77(9): 10521-10538
  • G Yang, Y Zhang*, J Yang, G Ji, Z Dong, S Wang, C Feng, Q Wang. Automated classification of brain images using wavelet-energy and biogeography-based optimization. Multimedia Tools and Applications, 2016, 75(23): 15601-15617
  • C Y Yang, Y D Zhang*, X J Yang, Exact solutions for the differential equations in fractal heat transfer, Thermal Science, 2016, 20(S3): S747-S750
  • K Xia*, X Gu, Y ZhangOriented grouping-constrained spectral clustering for medical imaging segmentation, Multimedia Systems, 2019, doi: 10.1007/s00530-019-00626-8
  • S Wang, M Chen, Y Li, Y Zhang, L Han, J Wu*, S Du*, Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks, Computational and Mathematical Methods in Medicine, 2015, Article ID: 454076
  • Y Zhang*, B Peterson, G Ji, Z Dong, Energy preserved sampling for compressed sensing MRI. Computational and Mathematical Methods in Medicine, 2014, Article ID: 546814
  • Y Zhang#,*, P Phillips#, S Wang#,*, G Ji, J Yang, J Wu, Fruit Classification by biogeography-based Optimization and feedforward Neural Network, Expert Systems, 2016, 33(3): 239-253
  • Y Zhang, X Wu, S Lu, H Wang, P Phillips, S Wang*, Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization. Simulation, 2016, 92(9): 873-885
  • Y Zhang, S Lu, X Zhou, M Yang, L Wu, B Liu, P Phillips, S Wang*, Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector machine, Simulation, 2016, 92(9): 861-871
  • Y Zhang*, Z Dong, G Ji, S Wang, An improved reconstruction method for CS-MRI based on exponential wavelet transform and iterative shrinkage thresholding algorithm, Journal of Electromagnetic Waves and Applications, 2014, 28(18): 2327-2338
  • Y Zhang*, L Wu, B Peterson, Z Dong, A two-level iterative reconstruction method for compressed sensing MRI, Journal of Electromagnetic Waves and Applications, 2011, 25(8/9): 1081-1091
  • Y Zhang, S Chen, S Wang*, J Yang, P Phillips, Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine, International Journal of Imaging Systems and Technology. 2015, 24(4): 317-327
  • S Wang, Y Zhang*, Z Dong, S Du*, G Ji, J Yan, J Yang, Q Wang, C Feng, PPhillips, Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection, International Journal of Imaging Systems and Technology. 2015, 25(2): 153-164
  • A Liu*, Y Yang, Q Xing, H Yao, Y ZhangImproved collaborative particle swarm algorithm for job shop scheduling optimization, Advanced Science Letters, 2011, 4(6-7): 2180-2183
  • S Wang, M Yang, J Li, X Wu, H Wang, B Liu, Z Dong, Y Zhang*, Texture analysis method based on fractional Fourier entropy and fitness-scaling adaptive genetic algorithm for detecting left-sided and right-sided sensorineural hearing loss, Fundamenta Informaticae, 2017, 151(1-4): 505-521
  • S Wang, J Sun, I Mehmood, C Pan, Y Chen, Y-D Zhang*, Cerebral micro-bleeding identification based on nine-layer convolutional neural network with stochastic pooling, Concurrency and Computation: Practice and Experience, 2019, doi: 10.1002/cpe.5130
  • S Wang, P Phillips, J Yang, P Sun, Y Zhang*, Magnetic resonance brain classification by a novel binary particle swarm optimization with mutation and time-varying acceleration coefficients, Biomedical Engineering/Biomedizinische Technik, 2016. 61(4): 431-441
  • Y Zhang*, S Wang*, P Sun, P Phillips, Pathological brain detection based on wavelet entropy and Hu moment invariants. Bio-Medical Materials and Engineering, 2015, 26: 1283-1290
  • X Zhou, Y Zhang*, G Ji, J Yang, Z Dong, S Wang, G Zhang, P Phillips, Detection of abnormal MR brains based on wavelet entropy and feature selection. IEEJ Transactions on Electrical and Electronic Engineering, 2016, 11(3), 364-373

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