个人简历

 

      杨娟,女,1985年10月出生,博士毕业于山东大学(其中有2年时间在美国杜克大学联合培养)。主要研究方向为四维医学图像的成像以及形变图像配准等与精准放疗相关的技术,另外,并逐步开始进行脑机接口技术相关方向的研究。目前,已经以第一作者或者通讯作者身份发表国内外SCI论文10余篇,其中,2篇论文发表于International Journal of Radiation Oncology, Biology, Physics(放疗红皮期刊,SCI一区top期刊),1篇文章发表于Physics in Medicine and Biology (二区top期刊)。另外,主持国家自然科学基金2项,省自然科学基金1项,博士后面上一等资助1项。

 

招生方向

学术学位硕士:电子科学与技术

专业学位硕士:电子信息

 

研究方向   

医学图像处理与分析、脑机接口相关技术             

                  

主持科研项目

1. 山东省自然科学基金面上项目ZR2021MA058), 肿瘤放疗中联合生物物理信息的形变配准建模方法构建四维MRI研究, 2022.01-2024.12,10万,主持,在研

2. 国家自然科学基金应急项目(61741117):基于实时个体化呼吸运动建模的四维磁共振图像重建算法研究, 2018.01-2018.128万,主持,结题

3. 国家自然科学基金应急项目(11747085:关于医学物理中四维医学图像重建的理论研究, 2018.01-2018.12,5万,主持,结题

4. 山东省自然科学基金ZR017BF008),基于实时呼吸运动场预测的四维医学图像重建算法研究, 2017.08-2019.12,9万,主持,结题

5. 中国博士后自然科学基金2016M600554),四维医学图像重建算法研究及临床应用 2016.08-2018.08,8万,主持,结题

6. 山东师范大学2018青年科技项目培育基金,基于新型形变配准技术的四维医学图像重建算法研究, 2018.12-2020.122万,主持,结题

 

论文成果

1. Juan Yang, Jinhui Yang , Fen Zhao and Wenjun Zhang. An unsupervised multi-scale framework with attention-based network (MANet) for lung 4D-CT registration. Physics in Medicine and Biology. 2021.6613: 135008.

2. Xiaokun Hu, Jimin Yang, Juan Yang#. A CNN-Based Approach for Lung 3D-CT Registration. IEEE Access, 2020, Volume 8, 192835-192843.

3. Guangpu Shao, Xiaokun Hu, Jimin Yang, Juan Yang#. Reducing motion artifacts in 4D CT using principal component analysis combined with linear polynomial fitting model. Advance in Computer, Signals and Systems, 2020 International Conference on Artificial Intelligence and Communication Technology(AICT 2020), 28 March 2020, Chongqing, China.

4. Xiaokun Hu, Guangpu Shao, Jimin Yang, Juan Yang#. Evaluation and Comparison of Deformbale Image Registration Algorithms for 4D CT Images. Journal of Physics: Conference SeriesVolume 14532019 2nd International Conference on Computer Information Science and Artificial Intelligence (CISAI 2019), 25-27 October 2019, Xi'an, China.

5. Juan Yang, Guangpu Shao, Xiaokun Hu, Jimin Yang. A novel 4D-CT sorting method based on combined mutual information and edge gradient. IEEE Access, 2019, 7(1), 138846-138856.

6. Juan Yang, Jing Cai, Hongjun Wang, Zheng Chang, Czito B.G., Bashir M.R. Fang-Fang Yin. Tumor enhancement using deformable image registration for Four-Dimensional Magnetic resonance imaging (4D-MRI): A feasibility study. Medical Physics. 2013, 40(6): 485.

7. Juan Yang, Jing Cai, Hongjun Wang, Zheng Chang, Czito B.G., Bashir M.R. Fang-Fang Yin. 4D-MRI using body area as internal respiratory surrogate: Initial patient results. Medical Physics. 2013, 40(6): 460.

8. Juan Yang, Jing Cai, Hongjun Wang, Zheng Chang, Czito B.G., Bashir M.R. Fang-Fang Yin. 4D-MRI using body area as internal respiratory surrogate: Initial patient results. Medical Physics. 2013, 40(6): 460.

9. Juan Yang, Jing Cai, Hongjun Wang, Zheng Chang, Czito B.G., Bashir M.R. Palta M, Fang-Fang Yin. Improved synthetic 4D-MRI using linear polynomial fitting model. Medical Physics. 2014, 41(6): 440.

10. Juan Yang, Jing Cai, Hongjun Wang, Zheng Chang, Czito B.G., Bashir M.R. Fang-Fang Yin. Four-Dimensional Magnetic Resonance Imaging Using Axial Body Area as Respiratory Surrogate: Initial Patient Results. International Journal of Radiation Oncology, Biology, Physics. 2014, 88(4): 907-912.

11. Juan Yang, Jing Cai, Hongjun Wang, Zheng Chang, Czito B.G., Bashir M.R., Palta M, Fang-Fang Yin. Is Diaphragm Motion a Good Surrogate for Liver Tumor Motion? International Journal of Radiation Oncology, Biology, Physics. 2014, 90(4): 952-958.

12. Juan Yang, Hongjun Wang, You Zhang, Yong Yin. Evaluation of GMI- and PMI Diffeomorphic- based Demons Algorithms for Aligning PET and CT Images. Journal of Applied Clinical Medical Physics. 2015, 14(6): 18-30. 

13. Juan Yang, Dengwang Li, Yong Yin, Fen Zhao, Hongjun Wang. Evaluation of Demons- and FEM-based registration algorithms for lung cancer. Technology in Cancer Research and Treatment. 2016, 15(2): 275-284.

 

荣誉奖励

 

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