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The Journal of the Acoustical Society of America
|
January 21, 2014
Frequency-domain model of tonal blade thickness and loading noise
Yijun Mao, Chen Xu, Datong Qi
The Journal of the Acoustical Society of America
|
April 30, 2015
Erratum: Frequency-domain model of tonal blade thickness and loading noise [J. Acoust. Soc. Am. 135, 93-103 (2014)]
Yijun Mao, Chen Xu, Datong Qi
Frontiers in Cardiovascular Medicine
|
April 13, 2026
Machine learning approaches for risk prediction in aortic dissection: a systematic review and meta-analysis
Yijun Mao, Qiang Liu, Hui Fan, et al.
The Journal of the Acoustical Society of America
|
September 18, 2012
An exact frequency-domain solution of the sound radiated from the rotating dipole point source
Yijun Mao, Yuanyuan Gu, Datong Qi, et al.
Frontiers in Cardiovascular Medicine
|
February 27, 2026
Risk prediction models for cardiac rupture after acute myocardial infarction: a systematic review and meta-analysis
Yijun Mao, Qiang Liu, Hui Fan, et al.
Reviews in Cardiovascular Medicine
|
October 15, 2025
Risk Prediction Models for Hospital Readmission After Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis
Yijun Mao, Hui Fan, Wenjing He, et al.
IEEE Transactions on Cybernetics
|
July 12, 2018
A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation
Zhijun Zhang, Lunan Zheng, Jian Weng, et al.
Japanese Journal of Radiology
|
August 27, 2024
Correction to: Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI
Wanxuan Fang, Yijun Mao, Haolin Wang, et al.
Japanese Journal of Radiology
|
May 24, 2024
Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI
Wanxuan Fang, Yijun Mao, Haolin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
April 19, 2021
Adaptive Dropout Method Based on Biological Principles
Hailiang Li, Jian Weng, Yijun Mao, et al.
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of 2
Search research articles
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Showing results (1-10 of 20) with videos related to
Sort By:
Page
of 2
The Journal of the Acoustical Society of America
|
January 21, 2014
Frequency-domain model of tonal blade thickness and loading noise
Yijun Mao, Chen Xu, Datong Qi
The Journal of the Acoustical Society of America
|
April 30, 2015
Erratum: Frequency-domain model of tonal blade thickness and loading noise [J. Acoust. Soc. Am. 135, 93-103 (2014)]
Yijun Mao, Chen Xu, Datong Qi
Frontiers in Cardiovascular Medicine
|
April 13, 2026
Machine learning approaches for risk prediction in aortic dissection: a systematic review and meta-analysis
Yijun Mao, Qiang Liu, Hui Fan, et al.
The Journal of the Acoustical Society of America
|
September 18, 2012
An exact frequency-domain solution of the sound radiated from the rotating dipole point source
Yijun Mao, Yuanyuan Gu, Datong Qi, et al.
Frontiers in Cardiovascular Medicine
|
February 27, 2026
Risk prediction models for cardiac rupture after acute myocardial infarction: a systematic review and meta-analysis
Yijun Mao, Qiang Liu, Hui Fan, et al.
Reviews in Cardiovascular Medicine
|
October 15, 2025
Risk Prediction Models for Hospital Readmission After Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis
Yijun Mao, Hui Fan, Wenjing He, et al.
IEEE Transactions on Cybernetics
|
July 12, 2018
A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation
Zhijun Zhang, Lunan Zheng, Jian Weng, et al.
Japanese Journal of Radiology
|
August 27, 2024
Correction to: Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI
Wanxuan Fang, Yijun Mao, Haolin Wang, et al.
Japanese Journal of Radiology
|
May 24, 2024
Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI
Wanxuan Fang, Yijun Mao, Haolin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
April 19, 2021
Adaptive Dropout Method Based on Biological Principles
Hailiang Li, Jian Weng, Yijun Mao, et al.
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of 2