Ming Yang
Affiliations:- Children's Hospital of Nanjing Medical University, Department of Radiology, China
According to our database1,
Ming Yang
authored at least 20 papers
between 2014 and 2021.
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Bibliography
2021
IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering.
IEEE Access, 2021
2020
Hearing loss detection by discrete wavelet transform and multi-layer perceptron trained by nature-inspired algorithms.
Multim. Tools Appl., 2020
Sensorineural hearing loss identification via nine-layer convolutional neural network with batch normalization and dropout.
Multim. Tools Appl., 2020
2019
Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression.
Integr. Comput. Aided Eng., 2019
2018
Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping.
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
Aberrant functional connectivity in patients with obstructive sleep apnea-hypopnea syndrome: a resting-state functional MRI study.
Multim. Tools Appl., 2018
Sensorineural hearing loss detection via discrete wavelet transform and principal component analysis combined with generalized eigenvalue proximal support vector machine and Tikhonov regularization.
Multim. Tools Appl., 2018
Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling.
J. Medical Syst., 2018
Author Correction: Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder.
J. Medical Syst., 2018
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging.
IEEE Access, 2018
2017
Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder.
J. Medical Syst., 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
Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Hearing Loss Detection in Medical Multimedia Data by Discrete Wavelet Packet Entropy and Single-Hidden Layer Neural Network Trained by Adaptive Learning-Rate Back Propagation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2016
Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, <i>k</i>-nearest neighbors, and support vector machine.
Simul., 2016
Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning.
Frontiers Comput. Neurosci., 2016
Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform.
Entropy, 2016
Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression.
IEEE Access, 2016
2014
Comput. Math. Methods Medicine, 2014