Professor | Shujun Liang | Asia Growth Partners

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Name	Shujun Liang
Contact Information	lsj123@smu.edu.cn
Language ability	English, Chinese
Province	Guangdong

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Name

Shujun Liang

Contact Information

lsj123@smu.edu.cn

Language ability

English, Chinese

Province

Guangdong

University/Lab Affiliation and Title	Southern Medical University
Faculty	Biomedical Engineering
Academic Background & Achievements	2010.09-2014.06 Bachelor: Southern Medical University, Biomedical Engineering 2014.09-2019.12 Doctorate: Southern Medical University, Biomedical Engineering
Work Experience	2017.11-2018.11 - University of North Carolina at Chapel Hill - Visiting Scholar 2020.01-2022.02 - Southern Medical University, School of Biomedical Engineering - Postdoctoral Researcher 2022.03-Present - Southern Medical University, Institute of Medical Information - Teacher

University/Lab Affiliation and Title

Southern Medical University

Faculty

Biomedical Engineering

Academic Background & Achievements

2010.09-2014.06 Bachelor: Southern Medical University, Biomedical Engineering
2014.09-2019.12 Doctorate: Southern Medical University, Biomedical Engineering

Work Experience

2017.11-2018.11 - University of North Carolina at Chapel Hill - Visiting Scholar
2020.01-2022.02 - Southern Medical University, School of Biomedical Engineering - Postdoctoral Researcher
2022.03-Present - Southern Medical University, Institute of Medical Information - Teacher

Areas of Focus	Intelligent Medical Image Analysis
Publications	Multiview Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at risk in Head and Neck CT Images, Shujun Liang, Kim-Han Thung, Dong Nie, Yu Zhang, Dinggang Shen, 2020 Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs, Fan Tang#, Shujun Liang#, Tao Zhong, Xia Huang, Xiaogang Deng, Yu Zhang, Linghong Zhou, 2020 Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning, Shujun Liang, Fan Tang, Xia Huang, Kaifan Yang, Tao Zhong, Runyue Hu, Shangqing Liu, Xinrui Yuan, Yu Zhang, 2019 Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling, Shujun Liang, Feng Yang, Tiexiang Wen, Zhewei Yao, Qinghua Huang, Chengke Ye, 2017 Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network, Ke Wang, Shujun Liang, Shengzhou Zhong, Qianjin Feng, Zhenyuan Ning, YuZhang*, 2021

Areas of Focus

Intelligent Medical Image Analysis

Publications

Multiview Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at risk in Head and Neck CT Images, Shujun Liang, Kim-Han Thung, Dong Nie, Yu Zhang*, Dinggang Shen*, 2020
Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs, Fan Tang#, Shujun Liang#, Tao Zhong, Xia Huang, Xiaogang Deng, Yu Zhang*, Linghong Zhou*, 2020
Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning, Shujun Liang, Fan Tang, Xia Huang, Kaifan Yang, Tao Zhong, Runyue Hu, Shangqing Liu, Xinrui Yuan, Yu Zhang*, 2019
Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling, Shujun Liang, Feng Yang*, Tiexiang Wen*, Zhewei Yao, Qinghua Huang, Chengke Ye, 2017
Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network, Ke Wang, Shujun Liang, Shengzhou Zhong, Qianjin Feng, Zhenyuan Ning*, YuZhang*, 2021

Medical Imaging Image Segmentation Deep Learning Radiotherapy Nasopharyngeal Carcinoma Organ Segmentation Ct Images Ultrasound Imaging Feature Representation Tumor Analysis

Lei Cao - Southern Medical University

Xiaohua Qian - Shanghai Jiao Tong University

Guoyan Zheng - Shanghai Jiao Tong University

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