董群喜 - 北京理工大学 - 医学技术学院

个人简介

董群喜，北京理工大学医学技术学院特别副研究员；长期从事神经影像计算研究。近五年来，以第一作者或第二作者身份在神经影像领域的顶级或重要期刊上发表SCI论文10余篇(包括Medical Image Analysis，Neuroimage: clinical, Journal of Alzheimer’s Disease, Journal of Neural Engineering)。教育培训经历 2009年9月–2017年12月计算机应用技术博士 2016年5月–2016年8月 Institute of Neuroscience and Medicine Medical Imaging Physics, Juelich research center, Germany，项目合作交流 2013年9月–2015年8月 Institute of Neuroscience and Medicine Medical Imaging Physics, Juelich research center, Germany，联合培养博士生 2005年9月–2009年7月计算机科学学士工作经历 2021年1月-至今北京理工大学医学技术学院 2018年5月–2020年12月美国亚利桑那州立大学计算机学院几何系统实验室，博士后

研究领域

心理生理计算、神经影像计算

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Qunxi Dong, Wen Zhang, Cynthia M. Stonnington, Jianfeng Wu, Boris A. Gutman, Kewei Chen, et al. "Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline [J]." NeuroImage: Clinical (2020). Qunxi Dong, Wen Zhang, Jianfeng Wu, Bolun Li, Emily H. Schron, Travis McMahon, Jie Shi et al. "Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects [J]." NeuroImage: Clinical (2019): 101744. Dong Q, Zhang J, Li Q, Wang J, Lepore N. Thompson PM, Caselli RJ, Ye J, Wang Y. Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images [J], Journal of Alzheimer’s Disease (2020). Fan Y, Wang G, Dong Q, et al. Tetrahedral Spectral Feature-Based Bayesian Manifold Learning for Grey Matter Morphometry: Findings from the Alzheimer’s Disease Neuroimaging Initiative[J]. Medical Image Analysis, 2021: 102123. Zhang J, Dong Q, Shi J, et al. Predicting future cognitive decline with hyperbolic stochastic coding[J]. Medical image analysis, 2021, 70: 102009. Wu J, Dong Q, Gui J, et al. Predicting brain amyloid using multivariate morphometry statistics, sparse coding, and correntropy: validation in 1,101 individuals from the ADNI and OASIS databases[J]. Frontiers in Neuroscience, 2021: 985. Wu J, Dong Q, Zhang J, et al. Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology[J]. Frontiers in Neuroscience, 2021: 1585. Zhang J, Dong Q, Shi J, Li Q, Stonnington CY, Gutman BA, Chen K, Reiman EM, Caselli RJ, Thompson PM, Ye J, Wang Y, ADNI Group, Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding, Medical Image Analysis, 2021. Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Wang Y. Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition [J], Medical Image Aanalysis, 2021. Jessica Rosenberg, Qunxi Dong, Esther Florin, Praveen Spripad, Frank Boers, Martina Reske, Nadim Joni Shah, Jürgen Dammers. Conflict processing networks: A directional analysis of stimulus-response compatibilities using MEG [J], PLOS ONE, 2021. Hu, Bin, Qunxi Dong, Yanrong Hao, Qinglin Zhao, Jian Shen, and Fang Zheng. Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjects [J]. Journal of Neural Engineering 14, no. 4 (2017): 046002.

学术兼职

Human Brain Mapping [J] 评审 Frontiers in Neuroscience [J] 评审编辑 Cluster Computing [J] 评审 Brain Imaging and Behavior [J]评审 IEEE Transactions on Affective Computing [J] 评审英国Medical Research Council基金评审