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Zhengchao Dong
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2020 – today
- 2023
- [j33]Yudong Zhang, Zhengchao Dong, Shuai Li, Carlo Cattani:
Deep learning methods for biomedical information analysis. J. Ambient Intell. Humaniz. Comput. 14(5): 5293-5296 (2023) - 2022
- [j32]Shuihua Wang, Zhengchao Dong, Zheng Zhang, Yuankai Huo
, M. Emre Celebi
Guest Editorial Emerging Challenges for Deep Learning. IEEE J. Biomed. Health Informatics 26(11): 5287-5288 (2022) - 2021
- [j31]Yu-Dong Zhang
IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering. IEEE Access 9: 74038-74043 (2021) - [j30]Shuihua Wang, Zhengchao Dong, Shuai Liu:
Introduction to the special section on data preprocessing for big biomedical data in deep learning models (VSI-dpbd). Comput. Electr. Eng. 90: 107054 (2021) - [j29]Yudong Zhang
Advances in multimodality data fusion in neuroimaging. Inf. Fusion 76: 87-88 (2021) - [j28]Yudong Zhang
Deep Learning in Medical Image Analysis. J. Imaging 7(4): 74 (2021) - [j27]Yu-Dong Zhang
Virtual special issue on advanced deep learning methods for biomedical engineering. Pattern Recognit. Lett. 142: 46-47 (2021) - [j26]Yu-Dong Zhang
Introduction to the Special Issue on Explainable Deep Learning for Medical Image Computing. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 99:1-99:2 (2021) - 2020
- [j25]Yudong Zhang
IEEE Access Special Section Editorial: Deep Learning for Computer-Aided Medical Diagnosis. IEEE Access 8: 96804-96810 (2020) - [j24]Yu-Dong Zhang
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. Inf. Fusion 64: 149-187 (2020)
2010 – 2019
- 2019
- [j23]Yudong Zhang
Introduction to the special section on Advanced Signal Processing in Biomedical Imaging. Comput. Electr. Eng. 74: 635-639 (2019) - [j22]Yudong Zhang
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation. Multim. Tools Appl. 78(3): 3613-3632 (2019) - 2018
- [b1]Shuihua Wang, Yudong Zhang, Zhengchao Dong, Preetha Phillips:
Pathological Brain Detection. Springer 2018, ISBN 978-981-10-4025-2, pp. 1-210 - [j21]Yudong Zhang
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging. IEEE Access 6: 61812-61818 (2018) - [j20]Shuihua Wang
Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm. Neurocomputing 272: 668-676 (2018) - [j19]Hong Wang, Jianwu Li
Single image super-resolution via self-similarity and low-rank matrix recovery. Multim. Tools Appl. 77(12): 15181-15199 (2018) - 2017
- [j18]Shuihua Wang
Texture Analysis Method Based on Fractional Fourier Entropy and Fitness-scaling Adaptive Genetic Algorithm for Detecting Left-sided and Right-sided Sensorineural Hearing Loss. Fundam. Informaticae 151(1-4): 505-521 (2017) - [j17]Yudong Zhang
Preface. Fundam. Informaticae 151(1-4): ix-xvi (2017) - [j16]Yudong Zhang
Pathological brain detection in MRI scanning via Hu moment invariants and machine learning. J. Exp. Theor. Artif. Intell. 29(2): 299-312 (2017) - [c4]Shuihua Wang
Facial Emotion Recognition via Discrete Wavelet Transform, Principal Component Analysis, and Cat Swarm Optimization. IScIDE 2017: 203-214 - 2016
- [j15]Gelan Yang
Automated classification of brain images using wavelet-energy and biogeography-based optimization. Multim. Tools Appl. 75(23): 15601-15617 (2016) - [j14]Yudong Zhang
Simulation of digital image processing in medical applications. Simul. 92(9): 825-826 (2016) - [c3]Jianwu Li, Jinpeng Zhou, Qiang Tu, Javaria Ikram, Zhengchao Dong:
Fast Dual-Tree Wavelet Composite Splitting Algorithms for Compressed Sensing MRI. ICONIP (1) 2016: 517-525 - 2015
- [j13]Yudong Zhang
Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC. Biomed. Signal Process. Control. 21: 58-73 (2015) - [j12]Yudong Zhang
Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximal Support Vector Machine (GEPSVM). Entropy 17(4): 1795-1813 (2015) - [j11]Shuihua Wang
Pathological Brain Detection by a Novel Image Feature - Fractional Fourier Entropy. Entropy 17(12): 8278-8296 (2015) - [j10]Yudong Zhang
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning. Frontiers Comput. Neurosci. 9: 66 (2015) - [j9]Shuihua Wang
Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection. Int. J. Imaging Syst. Technol. 25(2): 153-164 (2015) - [j8]Wangli Hao, Jianwu Li, Zhengchao Dong, Qihong Li, Kaitao Yu:
An empirical study on compressed sensing MRI using fast composite splitting algorithm and combined sparsifying transforms. Int. J. Imaging Syst. Technol. 25(4): 302-309 (2015) - [j7]Yudong Zhang
Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for compressed sensing magnetic resonance imaging. Inf. Sci. 322: 115-132 (2015) - [j6]Yudong Zhang
Effect of spider-web-plot in MR brain image classification. Pattern Recognit. Lett. 62: 14-16 (2015) - [c2]Xingxing Zhou, Guangshuai Zhang, Zhengchao Dong, Shuihua Wang
Tea Category Classification Based on Feed-Forward Neural Network and Two-Dimensional Wavelet Entropy. HPCA (China) 2015: 48-54 - [c1]Yudong Zhang, Shuihua Wang, Genlin Ji, Zhengchao Dong, Jie Yan:
Preliminary Research on Combination of Exponential Wavelet and FISTA for CS-MRI. IWBBIO (1) 2015: 175-182 - 2014
- [j5]Yudong Zhang
Energy Preserved Sampling for Compressed Sensing MRI. Comput. Math. Methods Medicine 2014: 546814:1-546814:12 (2014) - 2013
- [j4]Yudong Zhang
A Support-Based Reconstruction for SENSE MRI. Sensors 13(4): 4029-4040 (2013) - 2012
- [j3]Zhengchao Dong, Feng Liu
Metabolite Mapping with Extended Brain Coverage Using a Fast Multisection MRSI Pulse Sequence and a Multichannel Coil. Int. J. Biomed. Imaging 2012: 247161:1-247161:8 (2012) - 2011
- [j2]Yudong Zhang
A hybrid method for MRI brain image classification. Expert Syst. Appl. 38(8): 10049-10053 (2011)
2000 – 2009
- 2008
- [j1]Feng Liu
Study of the development of fetal baboon brain using magnetic resonance imaging at 3 Tesla. NeuroImage 40(1): 148-159 (2008)
Coauthor Index
aka: Shui-Hua Wang
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