2019年至2023年，北京师范大学，认知神经科学与学习国家重点实验室，博士后
2024年至今，北京科技大学，云顶娱乐 ，讲师

医学图像处理，基于磁共振影像的皮层形态学分析，人脑早期发育，机器学习，脑网络，脑认知与智能认知诊疗

[1] Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen ⃰, Gang Li ⃰. Exploring Folding Patterns of Infant Cerebral Cortex Based on Multi-View Curvature Features: Methods and Applications [J]. NeuroImage, 2019, 185: 575-592. (SCI, 中科院一区, TOP期刊，IF: 7)
[2] Dingna Duan, Shunren Xia, Islem Rekik, Zhengwang Wu, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen ⃰, Gang Li ⃰. Individual Identification and Individual Variability Analysis Based on Cortical Folding Features in Developing Infant Singletons and Twins [J]. Human Brain Mapping, 2020, 41(8): 1985-2003. (SCI, 中科院二区，Top期刊，IF: 5.4)
[3] Dingna Duan, Dong Wen ⃰. MRI-based Structural Covariance Network in Early Human Brain Development [J]. Frontiers in Neuroscience, 2023, 17: 1302069. (SCI, 中科院二区，Top期刊，IF: 5.2)
[4] Dingna Duan, Zhonglin Wu, Yanhong Zhou, Xianglong Wan, Dong Wen ⃰. Working Memory Training and Evaluation Based on Brain-Computer Interface and Virtual Reality: Our Opinion[J]. Frontiers in Human Neuroscience, 17: 1291983. (SCI, 中科院三区，IF: 3.6)
[5] Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li ⃰. Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-View Curvature Information [C]. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Springer, Cham, 2017: 12-20. （EI, CCF-B类，医学图像分析领域顶尖会议）
[6] Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li ⃰. Cortical Folding for Infant Identification [C]. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). IEEE, 2019: 396-399. （EI, 医学图像分析领域顶级会议）
[7] Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H Gilmore, Dinggang Shen, Gang Li ⃰. Longitudinal Multi-Scale Mapping of Infant Cortical Folding Using Spherical Wavelets [C]. IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). IEEE, 2017: 93-96. （EI, 医学图像分析领域顶级会议）
[8] 段丁娜, 张欢, 邱陈辉, 夏顺仁 ⃰. 基于活动轮廓模型的图像分割算法综述 [J]. 生物医学工程学报. 2015, 34(4): 445-454. （中文核心期刊）

1. 国家自然科学基金委员会，青年科学基金项目，基于大脑皮层形态学结构共变网络的婴幼儿早期发育模式及认知预测研究，2021.01 - 2023.12，主持
2. 中国博士后科学基金，特别资助（站中），基于结构磁共振影像的皮层形态学共变网络的儿童早期脑发育规律及个体差异研究，2021.09 - 2023.11，主持
3. 中国博士后科学基金，面上资助，基于婴幼儿脑皮层形态学结构共变网络的人脑早期发育研究，2020.12 - 2023.11，主持