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Articles by Xiaolin Ning
TSF-MDD: A Deep Learning Approach for Electroencephalography-Based Diagnosis of Major Depressive Disorder with Temporal-Spatial-Frequency Feature Fusion
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography
4. Discussion OPM-MEG is an emerging and developing brain imaging technology [], and there is currently no established set of technical standards. The feasibility of measuring effective brain networks using OPM-MEG is still under investigation. In the computation of Granger causality, the accuracy of MVAR model coefficient estimation is critical for constructing effective brain networks.
nnSegNeXt: A 3D Convolutional Network for Brain Tissue Segmentation Based on Quality Evaluation
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Bioengineering | Free Full-Text | Automatic Estimation of the Interference Subspace Dimension Threshold in the Subspace Projection Algorithms of Magnetoencephalography Based on Evoked State Data
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Kun Liu 1, Xiaolin Ning 1 and Sidong Liu 2,* 1 School of Information Engineering, Shanghai Maritime University, Shanghai 200135, China 2 Australia Institute of Health Innovation, Macquarie University, Sydney 2113, Australia * Author to whom correspondence should be addressed.
Scanning a multi-channel spin-exchange relaxation-free atomic magnetometer with high spatial and time resolution
Abstract The emerging multi-channel spin-exchange relaxation-free (SERF) atomic magnetometer is a promising candidate for non-intrusive biomagnetism imaging. In this study, we propose a scanning 9-channel SERF magnetometer based on an acousto-optic modulator (AOM). Using the diffraction light of the AOM as the probe laser (with a low laser power of 1.7 mW), 9 channels were rapidly scanned by altering the diffraction angle.
Double-loop control and intelligent parameter tuning for the temperature control system of a DBR semiconductor laser
Abstract Aiming at lower startup power consumption, stronger thermal load adaptability, easier parameters adjustment, and higher parameter tuning efficiency for the temperature control system of a distributed Bragg reflector (DBR) semiconductor laser, this paper employs the double-loop control and intelligent parameter tuning methods.
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