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X. Zhou, X. Li, K. Hu* (Corresponding author), Y. Zhang, Z. Chen*, X. Gao, “ERV-Net: An efficient 3D residual neural network for brain tumor segmentation”, Expert Systems with Applications, 170: 114566, 2021. (Top Journal, SCI, IF: 5.452)
K. Hu, K. Chen, X. He, Y. Zhang, Z. Chen*, X. Li, X. Gao*, “Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network”, Information Processing & Management, 57(6): 102352, 2020. (Top Journal, SCI, IF: 4.787)
K. Hu, S. Liu, Y. Zhang, C. Cao, F. Xiao, W. Huang, X. Gao, “Automatic Segmentation of Dermoscopy Images Using Saliency Combined with Adaptive Thresholding Based on Wavelet Transform”, Multimedia Tools and Applications, 79, 14625-14642, 2020. (SCI, IF: 2.313)
K. Hu, B. Shen, Y. Zhang, C. Cao, F. Xiao, X. Gao*, “Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search”, Neurocomputing, 365: 302-313, 2019. (Top Journal, SCI, IF: 4.438)
K. Hu, Q. Gan, Y. Zhang, S. Deng, F. Xiao, W. Huang, C. Cao*, X. Gao*, “Brain Tumor Segmentation Using Multi-cascaded Convolutional Neural Networks and Conditional Random Field”, IEEE Access, 7: 92615-92629, 2019. (SCI, IF: 3.745)
K. Hu, X. Gao*, Y. Zhang, “Markov multiple feature random fields model for the segmentation of brain MR images”, Expert Systems with Applications, 134: 79-92, 2019. (Top Journal, SCI, IF: 5.452)
K. Hu, X. Niu, S. Liu, Y. Zhang, C. Cao, F. Xiao, W. Yang, X. Gao*, “Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model”, Biomedical Signal Processing and Control, 51: 200-209, 2019. (SCI, IF: 3.137)
C. Cao, L. Deng, W. Duan, F. Xiao, W. Yang, K. Hu* (Corresponding author), “Hyperspectral image classification via compact-dictionary-based sparse representation”, Multimedia Tools and Applications, 78(11): 15011-15031, 2019. (SCI, IF: 2.313)
D. Cui, G. Zhang, K. Hu* (Corresponding author), W. Han, G.-B. Huang, “Face recognition using total loss function on face database with ID photos”, Optics and Laser Technology, 110: 227-233, 2019. (SCI, IF: 3.233)
L. Tan, K. Hu* (Corresponding author), X. Zhou, R. Chen, W. Jiang, “Print-scan invariant text image watermarking for hardcopy document authentication”, Multimedia Tools and Applications, 78(10): 13189-13211, 2019. (SCI, IF: 2.313)
K. Hu, Z. Zhang, X. Niu, Y. Zhang, C. Cao, F. Xiao, X. Gao*, “Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function”, Neurocomputing, 309: 179-191, 2018. (Top Journal, SCI, IF: 4.438)
K. Hu, Q. Cheng, B. Li, X. Gao*, “The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform”, Biomedical Signal Processing and Control, 39: 336-350, 2018. (SCI, IF: 3.137)
K. Hu, D. Cui, Y. Zhang, C. Cao, F. Xiao, G.-B. Huang, “Classification of foreign object debris using integrated visual features and extreme learning machine”, In: Yang J. et al. (eds) Computer Vision. CCCV 2017. Communications in Computer and Information Science, vol. 773, pp. 3-13, 2017, Springer, Singapore.
K. Hu, W. Yang, X. Gao*, “Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform”, Expert Systems with Applications, 86: 135-144, 2017. (Top Journal, SCI, IF: 5.452)
K. Hu, Q. Cheng, X. Gao*, “Wavelet-domain TI Wiener-like filtering for complex MR data denoising”, Magnetic Resonance Imaging, 34(8): 1128-1140, 2016. (SCI, IF: 2.053)
K. Hu, G. Tang, D. Xiong, Q. Qiu, “A novel image segmentation algorithm based on hidden Markov random field model and finite mixture model parameter estimation”, Proc. of the 2012 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR’12), IEEE Press: p. 1-6, July 2012.
K. Hu, X. Gao*, F. Li, “Detection of suspicious lesions by adaptive thresholding based on multiresolution analysis in mammograms”, IEEE Transactions on Instrumentation and Measurement, 60(2): 462-472 , 2011. (Top Journal, SCI, IF: 3.658)
C. Cao, J. Yu, C. Zhou, K. Hu, F. Xiao, X. Gao, “Hyperspectral Image Denoising via Subspace-Based Nonlocal Low-Rank and Sparse Factorization”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(3): 973-988, 2019. (SCI, IF: 3.827)
W. Yang, X. Gao*, C. Cao, F. Xiao, K. Hu, X. Zhang, Y. Zhang, “An Effective Approach for Prediction of Exposure to Base Stations Using Wavelets to Fit the Antenna Pattern”, IEEE Transactions on Antennas and Propagation, 66(12): 7519-7524, 2018. (Top Journal, SCI, IF: 4.371)
F. Xiao, W. Deng, C. Cao, K. Hu, X. Gao*, “Multi-Scale Deep Neural Network for Salient Object Detection”, IET Image Processing, 12(11): 2036-2041, 2018. (SCI, IF: 1.995)
W. Yang, Y. Hu, X. Gao*, K. Hu, F. Xiao, C. Cao, “The Duty Cycle Analysis for Electromagnetic Field Exposure From WLAN in a Busy Period”, IEEE Transactions on Electromagnetic Compatibility, 58(6): 1772-1775, 2016. (SCI, IF: 1.882)
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