姓　　名：周帆
职　　称：助教授
研究方向：图网络，深度学习，医学图像，动态时空系统，缺失数据，统计基因学
E - mail：zhoufan@mail.shufe.edu.cn

研究领域
图网络，深度学习，医学图像，动态时空系统，缺失数据，统计基因学
教育经历
2019年 美国北卡罗来纳大学教堂山分校，生物统计，博士
2015年 美国约翰霍普金斯大学，应用数学与统计，硕士
2013年 中国华中科技大学，经济学，学士

工作经历
至今，上海财经大学，统计与管理学院，助理教授。

研究成果
Zhao, B., Tian, L., Li, T., Li, Y., Zhang, J., Shan, Y., Wang, X., Yang, L., Zhou, F., Zhu, Z., Zhu, HT. (2019+).GWAS of 19,629 individuals identifies novel genetic variants for regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits. Nature Genetics. In press.


Zhou, F., Li, T., Zhou, H., Ye, J., Zhu, HT. (2019). Graph-Based Semi-Supervised Learning with Nonignorable Nonresponses. In 33^rdConference on Neural Information Processing Systems(NeurIPS 2019).

Zhou, F., Zhou, H., Li, T., Zhu HT. (2019+). Analysis of Secondary Phenotypes in Multi-Group Association Studies. Biometrics. In press.
Li, T., Zhou, F.,Zhu, Z., Shu, H., & Zhu, H. (2018). A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. In IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Zhao, B. et.al. including Zhou, F.(2018). Heritability of regional brain volumes in large-scale neuroimaging and genetic studies.Cerebral Cortex,29(7), 2904-2914.
Zhou, F., Li, T., Li, H., Zhu HT. (2017). TPCNN: two-phase patch-based convolutional neural network for automatic brain tumor segmentation and survival prediction. Brainlession Proceeding of MICCAI 2017.
Wang, C. W., Lee, Y. C., Calista, E., Zhou, F.,et.al. (2017). A benchmark for comparing precision medicine methods in thyroid cancer diagnosis using tissue microarrays.Bioinformatics,34(10), 1767-1773.
Zhu, W., Yuan, Y., Zhang, J., Zhou, F.,Knickmeyer, R. C., Zhu, H., & Alzheimer's Disease Neuroimaging Initiative. (2017). Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study.NeuroImage,146, 983-1002.
奖励，荣誉
Wining prize of A Grand Challenge for Tissue Microarray Analysis in Thyroid Cancer Diagnosis, ISBI 2017
Best five of iSeg-2017 challenge, MICCAI 2017
学术报告（2008年以来）
2019, The 11th ICSA International Conference, December 2019, Hangzhou, China, Invited Talk.
2019, The 22^ndInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), October 2019, Shenzhen, China, Invited Talk.
2019, 数据科学与人工智能的数学基础研讨会, October 2019, Changchun, China, Invited Talk.
2019, Joint Statistical Meetings (JSM 2019), August 2019, Denver, USA, Contributed Talk
2017, IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), April 2017, Melbourne, Australia, Invited Talk.