Dr. Zhenyu Liu
Professor, Master Supervisor/PhD Supervisor
University Email: zhenyu.liu@ia.ac.cn
Education
2014, PhD in Pattern Recognition and Intelligent Systems, University of Chinese Academy of Sciences, Beijing
2009, Bachelor of Automation, University of Science and Technology of China, Anhui
Currently
Researcher at the Institute of Automation, Chinese Academy of Sciences, and the Key Laboratory of Molecular Imaging, Chinese Academy of Sciences
Research direction
Artificial intelligence, Pattern recognition, Medical image analysis
Research and publications
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), 1-11. (IF=17.694; 5Y-IF=17.763; Rank: 6/73).
Liu, Z., Zhang, X. Y., Shi, Y. J., Wang, L., Zhu, H. T., Tang, Z., Wang, S., Li, X. T., Tian, J., & Sun, Y. S. (2017). Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Clinical Cancer Research, 23(23), 7253-7262. (IF=13.801; 5Y-IF=13.975; Rank: 17/245).
Liu, Z., Li, Z., Qu, J., Zhang, R., Zhou, X., Li, L., Sun, K., Tang, Z., Jiang, H., Li, H., Xiong, Q., Ding, Y., Zhao, X., Wang, K., Liu, Z., & Tian, J. (2019). Radiomics of multiparametric MRI for pretreatment prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study. Clinical Cancer Research, 25(12), 3538-3547. (IF=13.801; 5Y-IF=13.975; Rank: 17/245).
Liu, Z., Wang, S., Dong, D., Wei, J., Fang, C., Zhou, X., Sun, K., Li, L., Li, B., Wang, M., & Tian, J. (2019). The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges. Theranostics, 9(5), 1303. (IF=11.6; 5Y-IF=12.201; Rank: 13/139).
Feng, L., Liu, Z., Li, C., Li, Z., Lou, X., Shao, L., Wang, Y., Huang, Y., Chen, H., Pang, X., He, F., Zheng, J., Meng, X., Xie, P., Yang, G., Ding, Y., Wei, M., Yun, J., Hung, M. C., Zhou, W., Wahl, D., Lan, P., Tian, J., & Wan, X. (2022). Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study. The Lancet Digital Health, 4(1), e8-e17. (IF=36.615; 5Y-IF=36.615; Rank: 1/31).
Academic Awards
2020 Youth Science and Technology Award of the Chinese Society of Ultrasonics in Medicine
Professional Affiliations
2018-present, Vice-Chairman of the Medical Imaging and Artificial Intelligence Committee of the Chinese Research Hospital Association
2019-present, Member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences