Dr. Tan is a professor with the School of Artificial Intelligence and Automation, HUST, and is also a member of the Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, China.
Academic Areas: Image processing and analysis, Pattern Recognition, Machine learning,
Research Interests: Biomedical Imaging, Inverse problem, Sparse representation, Deep learning
Ph. D. in Pattern Recognition and Intelligent Systems, 09/2002-03/2007, School of Electronic Engineering, Xidian University, Xi’an, Shannxi Province, China
M. Sc. in Electrical Engineering, 09/1999-06/2002, School of Electrical Engineering, Wuhan University, Wuhan, Hubei Province, China
06/2011- present, Professor, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
06/2010-09/2011, Postdoctoral Fellow, Department of Radiation Oncology, School of Medicine, University of Maryland, Baltimore, MD, USA
06/2007-06/2010, Postdoctoral Fellow, Department of Computer Science, University of Houston, Houston, TX, USA
.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.
.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)
.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.
.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.
.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))
.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.
.X. Huang, J. Fan, L. Li, H. Liu, R. Wu, Y. Wu, L. Wei, H. Mao, A. Lal, P. Xi, L. Tang, Y. Zhang, Y. Liu, S. Tan*, L. Chen*, "Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy," Nature Biotechnology, vol. 36, p. 451, 2018.
.B. Chen, K. Xiang, Z. Gong, J. Wang*, and S. Tan*, "Statistical Iterative CBCT Reconstruction Based on Neural Network," IEEE Trans. Medical Imaging, vol. 37, pp. 1511-1521, Jun 2018.
.L. Liu, X. Li, K. Xiang, J. Wang, and S. Tan*, "Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties," IEEE Transactions on Medical Imaging, vol. 36, pp. 2588-2599, 2017.
.T. Sun, N. Sun, J. Wang*, and S. Tan*, "Iterative CBCT reconstruction using Hessian penalty," Physics in medicine and biology, vol. 60, pp. 1965-1987, Feb 12, 2015.
Awards and Honors
.Honorable Mention of the 2009 Chinese Excellent Dissertation Award (2009)
.Modeling Pathologic Response of Locally Advanced Esophageal Cancer to Chemoradiotherapy Using Spatial-Temporal FDG-PET features, Clinical Parameters and Demographics，the 54th Annual Meeting of the AAPM, Best in Physics, 2012.
.IOP Publishing Top Cited Paper Award (China) (2021)
1 Digital Image Process
2. An Introduction to Scientific Research
1. Pattern recognition and intelligent system
.1/2021 –12/2024, " Theory and Algorithms on Singal Recovery in Super-resolution Microscopy Imaging”, National Natural Science Foundation of China (NNSFC), Grant No. 62071197.
.1/2017 –12/2021, "CBCT Reconstruction Using Optimized Multiple Regularizations”, National Natural Science Foundation of China (NNSFC), Grant No. 61672253.
.1/2014 – 12/2017, "PET Image Blind Segmentation”, National Natural Science Foundation of China (NNSFC), Grant No. 61375018.