个人简介 2002年9月—2007年3月，西安电子科技大学，模式识别与智能系统，获博士学位； 2007年6月—2010年6月，University of Houston，Department of Computer Science, Research Scientist； 2010年6月—2011年6月，University of Maryland, School of Medicine, Post-doctoral Fellow。 获奖情况 [1]. 全国百优博士论文，提名奖，教育部、国务院学位委员会，2009 [2]. 全国高等学校科学研究优秀成果奖，自然科学一等奖，教育部，2009 [3]. 陕西高等学校科学技术奖，一等奖，陕西教育厅，2009

生物医学图像处理、医学物理、模式识别、计算机视觉

[1] F. Xu and S. Tan*, "Deep learning with multiple scale attention and direction regularization for asset price prediction," Expert Systems with Applications, vol. 186, p. 115796, 2021. [2] H. Liu, X. Liu, J. Lu, and S. Tan*, "Self-Supervised Image Prior Learning with GMM from a Single Noisy Image," in IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (Full Oral Presentation, 3.4% acceptance rate) [3] L. Li, W. Lu, Y. Tan, and S. Tan*, "Variational PET/CT Tumor Co-segmentation Integrated with PET Restoration," IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 4, pp. 37-49, 2020. [4] J. Liu, X. Huang, L. Chen, and S. Tan*, "Deep learning–enhanced fluorescence microscopy via degeneration decoupling," Optics Express, vol. 28, pp. 14859-14873, 2020/05/11 2020. [5] X. Zhao, L. Li, W. Lu, and S. Tan*, "Tumor Co-Segmentation in PET/CT using Multi-Modality Fully Convolutional Neural Network," Physics in medicine and biology, vol. 64, p. 015011, 2019. (IOP Publishing Top Cited Paper Award (China)) [6] H. Liu and S. Tan*, "Image Regularizations Based on the Sparsity of Corner Points," IEEE Trans Image Process, vol. 28, pp. 72-87, Jan 2019.