个人简历：

2019/07-至今，华东交通大学，电气与自动化工程学院，讲师

2020/12-2022/12，西北工业大学，计算机应用技术，博士后

2014/09-2019/04，湖南大学，控制科学与工程，博士

2011/09-2014/06，贵州大学，信号与信息处理，硕士

2007/09-2011/06 长江大学，电子信息工程，学士

研究方向：图像处理、模式识别、人工智能

欢迎态度端正、热爱学习、将研究生时光投身科研的学生加入本实验室

科研及成果：

[1] 江西省自然科学基金面上项目，基于CT影像的新冠肺炎快速诊断方法研究，结题，主持，2021.01-2022.12

[2] 江西省教育厅科技项目面上项目，基于CT影像的新冠肺炎辅助诊断系统设计，结题，主持，2022.01-2022.12

[3] 江西省自然科学基金青年基金，肺部CT 图像中三维复杂结构分割与重建，结题，主持，2020.01-2022.6

[4] 江西省教育厅科技项目青年项目，面向肺病诊断的CT 图像三维复杂结构分割算法研究，结题，主持，2020.01-2021.12

论文：

[1] Peng Yuanyuan(彭圆圆), Tang yinjie, Luan Pengpeng*, et al. MAFE-Net: Retinal vessel segmentation based on multiple attention-guided fusion mechanism and ensemble learning network[J]. Biomedical Optics express, 2023, accept.

[2] Peng Yuanyuan(彭圆圆)*, Pan Lin, Luan Pengpeng, Tu Hongbin, Li Xiong. Curvilinear object segmentation in medical images based on ODoS filter and deep learning network[J]. Applied Intelligence，2023.

[3] Peng Yuanyuan(彭圆圆)*, Zhang Jiaxin. Lung Lobe Segmentation in CT Images Based on Multi-feature Fusion and Ensemble Learning Framework[J]. 2022.International Journal of Imaging Systems and Technology, 2023.

[4] Peng Yuanyuan(彭圆圆)*, Luan Pengpeng, Tu Hongbin, Li Xiong. Pulmonary Fissure Segmentation in CT Images Based on ODoS Filter and Shape Features[J]. Multimedia Tools and Applications, 2023.

[5] Peng Yuanyuan(彭圆圆)*, Zhang Zixu, Tu Hongbin, Li Xiong. Automatic segmentation of novel coronavirus pneumonia lesions in CT images utilizing deep-supervised ensemble learning network[J]. Frontiers in Medicine, 2022, 8:755309.

[6] Wu Kaiyue, Peng Xiaoyu, Chen Miaojia, Li Yang, Tang Guotao, Peng Junmei, Peng Yuanyuan(彭圆圆)*, Cao Xuan*. Recent Progress of research on anti-tumor agents using benzimidazole as the structure unit[J]. Chemical Biology and Drug Design, 2022, 1-22.

[7] Peng Yuanyuan(彭圆圆)*, Zhong Hualan, Xu Zheng, Tu Hongbin, Li Xiong, Peng Lan. Pulmonary lobe segmentation in CT images based on lung anatomy knowledge[J]. Mathematical Problems in Engineering, 2021, 2021:5588629.

[8] 彭圆圆, 马招娣, 彭兰*, 李雄. 基于向量分区模型和三维骨架化模型的肺裂分割算法[J]. 计算机辅助设计与图形学学报, 2020, 32(07):1154-1161.

[9] Peng Yuanyuan(彭圆圆), Xiao Changyan*. An oriented derivative of stick filter and post-processing segmentation algorithms for pulmonary fissure detection in CT images[J]. Biomedical Signal Processing and Control, 2018, 43:278-288.

[10] 彭圆圆, 肖昌炎*. 一种全自动的肺裂分割方法[J]. 电子学报, 2018, 46(6):1319-1326.

[11] 彭圆圆*, 肖昌炎. 基于形状特征的肺裂检测方法[J]. 光学学报, 2018, 38(8):0815023.

[12] 彭圆圆, 肖昌炎*. 基于EM方法和曲面拟合模型的肺裂检测方法[J]. 计算机辅助设计与图形学学报, 2018, 30(10): 1870-1877.

[13] Xiao Changyan*, Berend C. Stoel, M. Els Bakker, Peng Yuanyuan(彭圆圆), et al. Pulmonary fissure detection in CT images using a derivative of stick filter[J]. IEEE Transactions on Medical Imaging, 2016, 35(6):1488-1500.

[14] Peng Yuanyuan(彭圆圆), Liu Benyong*. Accurate estimation of primary quantisation table with applications to tampering detection[J]. IET Electronics Letters, 2013, 49(23):1452-1454.