个人简介
教育背景
2004-9至2007-7, 中国科学院自动化研究所, 计算机应用技术, 博士
2013-4至2014-4, 多伦多大学, 博士后
工作经历
2019-5至现在, 北京航空航天大学, 医学科学与工程学院
2007-7至2019-5, 北京交通大学, 计算机与信息技术学院
代表性科研项目
作为项目负责人承担了国家自然科学基金面上、北京市重点专项等多个科研项目
AI辅助的前列腺癌多组学精准诊疗关键问题研究(北京市自然科学基金重点研究专题项目)
基于脑网络分析的面孔识别能力个体差异神经机制的研究 (国家自然科学基金上项目)
近期论文
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Ji, T., Li, X., Chen, J., Ren, X., Mei, L., Qiu, Y., Zhang, J., Wang, S., Xu, Z., Li, H., Zheng, L., Peng, Y., Liu, Y., Ni, X., Tai, J., & Liu, J. (2021). Brain function in children with obstructive sleep apnea: a resting-state fMRI study. Sleep, 44(8),
Shao, L., Liu, Z., Yan, Y., Liu, J., Ye, X., Xia, H., Zhu, X., Zhang, Y., Zhang, Z., Chen, H., He, W., Liu, C., Lu, M., Huang, Y., Sun, K., Zhou, X., Yang, G., Lu, J., & Tian, J. (2021). Patient-level Prediction of Multi-classification Task at Prostate MRI based on End-to-End Framework learning from Diagnostic Logic of Radiologists. IEEE transactions on bio-medical engineering, PP, 10.1109/TBME. 2021.3082176. Advance online publication.
Yan, Y., Shao, L., Liu, Z., He, W., Yang, G., Liu, J., Xia, H., Zhang, Y., Chen, H., Liu, C., Lu, M., Ma, L., Sun, K., Zhou, X., Ye, X., Wang, L., Tian, J., & Lu, J. (2021). Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study. Cancers, 13(12), 3098.
Liu, Z., Meng, X., Zhang, H., Li, Z., Liu, J., Sun, K., Meng, Y., Dai, W., Xie, P., Ding, Y., Wang, M., Cai, G., & Tian, J. (2020). Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer. Nature communications, 11(1), 4308.
Liu, Z., Liu, J., Yuan, H., Liu, T., Cui, X., Tang, Z., Du, Y., Wang, M., Lin, Y., & Tian, J. (2019). Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity. Genomics, proteomics & bioinformatics, 17(4), 441–452.
Liu, J., Wang, Z., Feng, L., Li, J., Tian, J., & Lee, K. (2015). Neural Trade-Offs between Recognizing and Categorizing Own- and Other-Race Faces. Cerebral cortex, 25(8), 2191–2203.