作者: 来源: 阅读量: 发布时间:2022-05-27 15:40:06
姓名:梁淑君
联系邮箱:lsj123@smu.edu.cn
学习经历(学士、硕士、博士):
2010.09-2014.06 南方医科大学,生物医学工程,学士
2014.09-2019.12 南方医科大学,生物医学工程,博士
工作经历:
2017.11-2018.11 美国北卡罗来纳大学教堂山分校,访问学者
2020.01-2022.02 南方医科大学生物医学工程学院,博士后
2022.03-至今 南方医科大学生物医学工程学院医学信息研究所,教师
研究方向:
智能医学图像分析
主要科研课题:
1.国家自然科学基金青年项目,62001206,面向鼻咽癌精准放疗的肿瘤及危及器官分割新方法研究,2021-01至 2023-12,24万元,主持
2.中国博士后科学基金面上项目,2020M682790,基于显著特征表征的鼻咽癌图像分割新方法研究,2020-10至 2022-01,8万元,主持
代表性论文:
1. Shujun Liang, Kim-Han Thung, Dong Nie, Yu Zhang*, Dinggang Shen*; Multiview Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at risk in Head and Neck CT Images, IEEE Transactions on Medical Imaging, 2020, 39(9): 2794-2805.
2. Fan Tang#, Shujun Liang#, Tao Zhong, Xia Huang, Xiaogang Deng, Yu Zhang*, Linghong Zhou*; Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs, European Radiology, 2020, 30(2): 823-832.
3. Shujun Liang, Fan Tang, Xia Huang, Kaifan Yang, Tao Zhong, Runyue Hu, Shangqing Liu, Xinrui Yuan, Yu Zhang*; Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning, European Radiology, 2019, 29(4): 1961-1967.
4. Shujun Liang, Feng Yang*, Tiexiang Wen*, Zhewei Yao, Qinghua Huang, Chengke Ye; Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling, BMC Medical Imaging, 2017, 17: 57.
5. Ke Wang, Shujun Liang, Shengzhou Zhong, Qianjin Feng, Zhenyuan Ning*, YuZhang*; Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network, Medical Physics, 2021, 48(8):4262-4278.