Zhengchao Dong
According to our database1,
Zhengchao Dong
authored at least 38 papers
between 2008 and 2023.
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Bibliography
2023
J. Ambient Intell. Humaniz. Comput., 2023
2022
IEEE J. Biomed. Health Informatics, 2022
2021
Introduction to the Special Issue on Explainable Deep Learning for Medical Image Computing.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Pattern Recognit. Lett., 2021
Introduction to the special section on data preprocessing for big biomedical data in deep learning models (VSI-dpbd).
Comput. Electr. Eng., 2021
IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering.
IEEE Access, 2021
2020
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Inf. Fusion, 2020
IEEE Access Special Section Editorial: Deep Learning for Computer-Aided Medical Diagnosis.
IEEE Access, 2020
2019
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation.
Multim. Tools Appl., 2019
Introduction to the special section on Advanced Signal Processing in Biomedical Imaging.
Comput. Electr. Eng., 2019
2018
Multim. Tools Appl., 2018
Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm.
Neurocomputing, 2018
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging.
IEEE Access, 2018
2017
Pathological brain detection in MRI scanning via Hu moment invariants and machine learning.
J. Exp. Theor. Artif. Intell., 2017
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, 2017
Facial Emotion Recognition via Discrete Wavelet Transform, Principal Component Analysis, and Cat Swarm Optimization.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
2016
Automated classification of brain images using wavelet-energy and biogeography-based optimization.
Multim. Tools Appl., 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Pattern Recognit. Lett., 2015
Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for compressed sensing magnetic resonance imaging.
Inf. Sci., 2015
Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection.
Int. J. Imaging Syst. Technol., 2015
An empirical study on compressed sensing MRI using fast composite splitting algorithm and combined sparsifying transforms.
Int. J. Imaging Syst. Technol., 2015
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning.
Frontiers Comput. Neurosci., 2015
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, 2015
Entropy, 2015
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., 2015
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
Tea Category Classification Based on Feed-Forward Neural Network and Two-Dimensional Wavelet Entropy.
Proceedings of the High Performance Computing and Applications, 2015
2014
Comput. Math. Methods Medicine, 2014
2013
2012
Metabolite Mapping with Extended Brain Coverage Using a Fast Multisection MRSI Pulse Sequence and a Multichannel Coil.
Int. J. Biomed. Imaging, 2012
2011
2008
Study of the development of fetal baboon brain using magnetic resonance imaging at 3 Tesla.
NeuroImage, 2008