劉夢汀，男，中山大學生物醫學工程學院教師。
基本介紹
- 中文名：劉夢汀
- 職業：教師
個人簡介,研究方向,代表論文,
個人簡介
2007年畢業於西安交通大學，獲得生物醫學工程學士學位。
2008-2013年在路易斯安那理工大學攻讀生物醫學工程博士學位，同時並獲得統計學碩士學位。
2022年1月加入中山大學生物醫學工程學院，任“百人計畫”副教授
研究方向
磁共振神經影像處理方法
基於大腦影像的特徵提取、多模態影像分析，影像協同化（harmonization）、形態學分析，腦網路分析，計算 機輔助診斷，影像學與心理，行為和基因組的關聯分析。
人工智慧算法
基於深度學習的圖像合成算法，開發用於跨數據集的大數據人工智慧影像分析算法，多模態數據融合算法。
臨床腦科學套用
早產兒發育損傷研究，自閉症早期診斷，社會壓力下的精神疾病預防等。
代表論文
*為通訊作者，#為同等貢獻作者：
1.Liu, M., Kim, S, Duffy B.A., Yuan, S, Cole, J. H. Toga, A. W., Jahanshad, N., Barkovich, A.J., Xu, D, Kim, H. (2022). Brain age predicted using graph convolutional network explains developmental trajectory in preterm neonates. Biological Psychiatry (in press).
2.Yuan S.#, Liu, M.#, Kim S.Y.#, Yang J., Barkovich, A.J., Xu D., Kim H. (2022) Cyto/myeloarchitectural changes of cortical gray matter and superficial white matter in early neurodevelopment: Multimodal MRI study of preterm neonates. Cerebral Cortex (in press).
3.Ge, X., Zheng, Y., Qiao, Y., Simon, J.P., Lee, M., Jiang, W., Kim H., Shi, Y., Liu, M.* (2021) Hippocampal Asymmetry of Regional Development and Structural Covariance in Preterm Neonates. Cerebral Cortex. DOI: https://doi.org/10.1093/cercor/bhab481
4.Liu, M.*, Backer, R. A., Amey, R. C., Splan, E. E., Magerman, A., & Forbes, C. E. (2021) How the brain negotiates divergent processing demands: Evidence of network reorganization in fleeting brain states. Neuroimage 245, 118653.
5.Liu, M., Maiti, P., Thomopoulos, S., Zhu, A., Chai, Y., Kim, H., Jahanshad, N. (2021). Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization. International Conference on Medical Image Computing and Computer-Assisted Intervention. (MICCAI).
6.Cheng, Y., Shen, W., Xu, J., Amey, R., Huang, L., Zhang, X., ... Liu, M.* & Kim, H. (2021). Whole-brain functional connectivity neuromarkers reveal the cognitive recovery scheme for overt hepatic encephalopathy after liver transplantation. eNeuro ,8(4).
7.Xu, F.#, Liu, M.#, Kim, S. Ge, X., Zhang, H., Toga, A. W., Liu, S., Kim, H. (2021) Morphological Development Trajectory and Structural Covariance Network of the Human Fetal Cortical Plate during the Early Second Trimester. Cerebral Cortex. 31(10), 4794-4807.
8.Liu, M.*, Backer, R. A., Amey, R. C., Splan, E. E., Magerman, A., & Forbes, C. E. (2021). Context matters: Situational stress impedes functional reorganization of intrinsic brain connectivity during problem solving. Cerebral Cortex. 31(4), 2111-2124.
9.Liu, M., Lepage, C., Kim, S. Y., Jeon, S., Kim, S. H., Simon, J. P., ... & Kim, H. (2021). Robust cortical thickness morphometry of neonatal brain and systematic evaluation using multi-site MRI datasets. Frontiers in Neuroscience, 15, 218.
10.Kim, S. Y.#, Liu, M.#*, Hong, S. J., Toga, A. W., Barkovich, A. J., Xu, D., & Kim, H. (2020). Disruption and compensation of sulcation-based covariance networks in neonatal brain growth after perinatal injury. Cerebral cortex, 30(12), 6238-6253.
11.Liu, M.*, Amey, R. C., & Forbes, C. E. (2017). On the role of situational stressors in the disruption of global neural network stability during problem solving. Journal of cognitive neuroscience, 29(12), 2037-2053.
