Professor | Meiyan Huang | Asia Growth Partners

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Name	Meiyan Huang
Contact Information	huangmeiyan16@163.com
Language ability	English, Chinese
Province	Guangdong

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Name

Meiyan Huang

Contact Information

huangmeiyan16@163.com

Language ability

English, Chinese

Province

Guangdong

University/Lab Affiliation and Title	Southern Medical University
Faculty	Biomedical Engineering
Academic Background & Achievements	2006.09-2010.06 Bachelor: Southern Medical University, Biomedical Engineering 2010.09-2015.06 Doctorate: Southern Medical University, Biomedical Engineering
Work Experience	2015.09-present - Southern Medical University, Institute of Medical Information, Associate Professor

University/Lab Affiliation and Title

Southern Medical University

Faculty

Biomedical Engineering

Academic Background & Achievements

2006.09-2010.06 Bachelor: Southern Medical University, Biomedical Engineering
2010.09-2015.06 Doctorate: Southern Medical University, Biomedical Engineering

Work Experience

2015.09-present - Southern Medical University, Institute of Medical Information, Associate Professor

Areas of Focus	Medical Image Processing and Pattern Recognition
Publications	Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease, M. Huang, W. Yang, Q. Feng, and W. Chen, 2017 Brain extraction based on locally linear representation-based classification, M. Huang, W. Yang, J. Jiang, Y. Wu, Y. Zhang, W. Chen, and Q. Feng, 2014 Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data, M. Huang, T. Nichols, C. Huang, Y. Yang, Z. Lu, R. Knickmeyer, Q. Feng, and H. Zhu, 2015 Brain Tumor Segmentation Based on Local Independent Projection-based Classification, M. Huang, W. Yang, Y. Wu, J. Jiang, W. Chen, and Q. Feng, 2014 Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images, M. Huang, W. Yang, Y. Wu, J. Jiang, Y. Gao, Y. Chen, Q. Feng, W. Chen, and Z. Lu, 2014 Retrieval of Brain Tumors with Region-specific Bag-of-Visual-Words Representations in Contrast-enhanced MRI Images, M. Huang, W. Yang, M. Yu, Z. Lu, Q. Feng, and W. Chen, 2012 Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation, J. Cheng, W. Yang, W. Huang, J. Jiang, Y. Zhou, M. Huang, R. Yang, J. Zhao, Y. Feng, Q. Feng, 2016 Prediction of CT Substitutes from MR Images Based on Local Diffeomorphic Mapping for Brain PET Attenuation Correction, Y. Wu, W. Yang, L. Lu, Z. Lu, L. Zhong, M. Huang, Y. Feng, Q. Feng, W. Chen, 2016 Variability of Gross Tumor Volume in Nasopharyngeal Carcinoma using 11C-Choline and 18F-FDG PET/CT, J. Jiang, H. Wu, M. Huang, Y. Wu, Q. Wang, J. Zhao, W. Yang, W. Chen, Q. Feng, 2015 Prostate segmentation based on variant scale patch and local independent projection, Y. Wu, G. Liu, M. Huang, J. Jiang, W. Yang, W. Chen, Q. Feng, 2014 3D Brain Tumor Segmentation in Multimodal MR Images based on Learning Population- and Patient-specific Feature Sets, J. Jiang, Y. Wu, M. Huang, W. Yang, W. Chen, and Q. Feng, 2013 Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images, W. Yang, Z. Lu, M. Yu, M. Huang, Q. Feng, W. Chen, 2012

Areas of Focus

Medical Image Processing and Pattern Recognition

Publications

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease, M. Huang, W. Yang, Q. Feng, and W. Chen, 2017
Brain extraction based on locally linear representation-based classification, M. Huang, W. Yang, J. Jiang, Y. Wu, Y. Zhang, W. Chen, and Q. Feng, 2014
Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data, M. Huang, T. Nichols, C. Huang, Y. Yang, Z. Lu, R. Knickmeyer, Q. Feng, and H. Zhu, 2015
Brain Tumor Segmentation Based on Local Independent Projection-based Classification, M. Huang, W. Yang, Y. Wu, J. Jiang, W. Chen, and Q. Feng, 2014
Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images, M. Huang, W. Yang, Y. Wu, J. Jiang, Y. Gao, Y. Chen, Q. Feng, W. Chen, and Z. Lu, 2014
Retrieval of Brain Tumors with Region-specific Bag-of-Visual-Words Representations in Contrast-enhanced MRI Images, M. Huang, W. Yang, M. Yu, Z. Lu, Q. Feng, and W. Chen, 2012
Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation, J. Cheng, W. Yang, W. Huang, J. Jiang, Y. Zhou, M. Huang, R. Yang, J. Zhao, Y. Feng, Q. Feng, 2016
Prediction of CT Substitutes from MR Images Based on Local Diffeomorphic Mapping for Brain PET Attenuation Correction, Y. Wu, W. Yang, L. Lu, Z. Lu, L. Zhong, M. Huang, Y. Feng, Q. Feng, W. Chen, 2016
Variability of Gross Tumor Volume in Nasopharyngeal Carcinoma using 11C-Choline and 18F-FDG PET/CT, J. Jiang, H. Wu, M. Huang, Y. Wu, Q. Wang, J. Zhao, W. Yang, W. Chen, Q. Feng, 2015
Prostate segmentation based on variant scale patch and local independent projection, Y. Wu, G. Liu, M. Huang, J. Jiang, W. Yang, W. Chen, Q. Feng, 2014
3D Brain Tumor Segmentation in Multimodal MR Images based on Learning Population- and Patient-specific Feature Sets, J. Jiang, Y. Wu, M. Huang, W. Yang, W. Chen, and Q. Feng, 2013
Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images, W. Yang, Z. Lu, M. Yu, M. Huang, Q. Feng, W. Chen, 2012

Medical Imaging Pattern Recognition Alzheimer'S Disease Image Analysis Biomedical Engineering Data Analysis Machine Learning Neuroimaging Genetic Data Image Segmentation

Yazhu Chen - Shanghai Jiao Tong University

Zhou Chen - Shanghai Jiao Tong University

Jianqi Sun - Shanghai Jiao Tong University

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