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Shujun Liang
Biomedical Engineering
Southern Medical University
Guangdong
Language: English, Chinese
Medical Imaging
Image Segmentation
Deep Learning
Radiotherapy
Nasopharyngeal Carcinoma
Organ Segmentation
Ct Images
Ultrasound Imaging
Feature Representation
Tumor Analysis
Areas of Focus
- Intelligent Medical Image Analysis
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
Academic Background & Achievements
- 2010.09-2014.06 Bachelor: Southern Medical University, Biomedical Engineering
- 2014.09-2019.12 Doctorate: Southern Medical University, Biomedical Engineering
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
