Tan Shan

According to our database, Tan Shan authored at least 41 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transfer CLIP for Generalizable Image Denoising.

Jun Cheng, Dong Liang, Shan Tan

CoRR, 2024

Deep Filtered Back Projection for CT Reconstruction.

Xi Tan, Xuan Liu, Kai Xiang, Jing Wang, Shan Tan

IEEE Access, 2024

2023

Learning feature fusion via an interpretation method for tumor segmentation on PET/CT.

Susu Kang, Zhiyuan Chen, Laquan Li, Wei Lu, X. Sharon Qi, Shan Tan

Appl. Soft Comput., November, 2023

Bridging Feature Gaps to Improve Multi-Organ Segmentation on Abdominal Magnetic Resonance Image.

Susu Kang, Muyuan Yang, X. Sharon Qi, Jun Jiang, Shan Tan

IEEE J. Biomed. Health Informatics, March, 2023

Image Denoising via Style Disentanglement.

Jingwei Niu, Jun Cheng, Shan Tan

CoRR, 2023

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains.

Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang

CoRR, 2023

A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising.

Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, Xiaokun Liang

CoRR, 2023

Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising.

Jun Cheng, Tao Liu, Shan Tan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BSDIB: Balanced Self-Distillation Information Bottleneck for Long-Tailed Visual Recognition.

Xin Cai, Shan Tan

Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

Spectral Bayesian Uncertainty for Image Super-Resolution.

Tao Liu, Jun Cheng, Shan Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Group Sparsity Mixture Model and Its Application on Image Denoising.

Haosen Liu, Laquan Li, Jiangbo Lu, Shan Tan

IEEE Trans. Image Process., 2022

Decoupled Frequency Learning for Dynamic Scene Deblurring.

Tao Liu, Shan Tan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

TwinLSTM: Two-channel LSTM Network for Online Action Detection.

Yunfei Han, Shan Tan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Deep learning with multiple scale attention and direction regularization for asset price prediction.

Fucui Xu, Shan Tan

Expert Syst. Appl., 2021

Self-Supervised Image Prior Learning with GMM from a Single Noisy Image.

Haosen Liu, Xuan Liu, Jiangbo Lu, Shan Tan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep learning for variational multimodality tumor segmentation in PET/CT.

Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan

Neurocomputing, 2020

Dynamic Portfolio Management Based on Pair Trading and Deep Reinforcement Learning.

Fucui Xu, Shan Tan

Proceedings of the CIIS 2020: The 3rd International Conference on Computational Intelligence and Intelligent Systems, 2020

2019

Image Regularizations Based on the Sparsity of Corner Points.

Haosen Liu, Shan Tan

IEEE Trans. Image Process., 2019

2018

Statistical Iterative CBCT Reconstruction Based on Neural Network.

Binbin Chen, Kai Xiang, Zaiwen Gong, Jing Wang, Shan Tan

IEEE Trans. Medical Imaging, 2018

The first MICCAI challenge on PET tumor segmentation.

Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, Vincent Jaouen, Clovis Tauber, Jakub Czakon, Filip Drapejkowski, Witold Dyrka, Sorina Camarasu-Pop, Frédéric Cervenansky, Pascal Girard, Tristan Glatard, Michaël Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis

Medical Image Anal., 2018

Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response.

Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

2017

Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties.

Liang Liu, Xinxin Li, Kai Xiang, Jing Wang, Shan Tan

IEEE Trans. Medical Imaging, 2017

Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations.

Laquan Li, Jian Wang, Wei Lu, Shan Tan

Comput. Vis. Image Underst., 2017

Infrared image change detection of substation equipment in power system using random forest.

Hua Yang, Jipu Gao, Changbao Xu, Zheng Long, Weigang Feng, Shaohua Xiong, Shuaiwei Liu, Shan Tan

Proceedings of the 13th International Conference on Natural Computation, 2017

2009

Kernel active contour.

Tan Shan, Ioannis A. Kakadiaris

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Wavelet-Based Bayesian Image Estimation: From Marginal and Bivariate Prior Models to Multivariate Prior Models.

Tan Shan, Licheng Jiao, Ioannis A. Kakadiaris

IEEE Trans. Image Process., 2008

Denoising for 3-D Photon-Limited Imaging Data Using Nonseparable Filterbanks.

Alberto Santamaría-Pang, Teodor Stefan Bildea, Tan Shan, Ioannis A. Kakadiaris

IEEE Trans. Image Process., 2008

2007

Multivariate Statistical Models for Image Denoising in the Wavelet Domain.

Tan Shan, Licheng Jiao

Int. J. Comput. Vis., 2007

2005

Response Analysis of Neuronal Population with Synaptic Depression.

Wentao Huang, Licheng Jiao, Tan Shan, Maoguo Gong

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Image Representation in Visual Cortex and High Nonlinear Approximation.

Tan Shan, Xiangrong Zhang, Shuang Wang, Licheng Jiao

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory.

Tan Shan, Xiuli Ma, Xiangrong Zhang, Licheng Jiao

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

SAR Image Segmentation Using Kernel Based Spatial FCM.

Xiangrong Zhang, Tan Shan, Shuang Wang, Licheng Jiao

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Monoscale Dual Ridgelet Frame.

Tan Shan, Licheng Jiao

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Dual ridgelet frame constructed using biorthogonal wavelet basis.

Tan Shan, Xiangrong Zhang, Licheng Jiao

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Selective SVMs Ensemble Driven by Immune Clonal Algorithm.

Xiangrong Zhang, Shuang Wang, Tan Shan, Licheng Jiao

Proceedings of the Applications of Evolutionary Computing, 2005

Automatic Image Enhancement Driven by Evolution Based on Ridgelet Frame in the Presence of Noise.

Tan Shan, Shuang Wang, Xiangrong Zhang, Licheng Jiao

Proceedings of the Applications of Evolutionary Computing, 2005

Radar target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithm.

Xiangrong Zhang, Shuang Wang, Tan Shan, Licheng Jiao

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

new evidences for sparse coding strategy employed in visual neurons: from the image processing and nonlinear approximation viewpoint.

Tan Shan, Licheng Jiao

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

SAR Image Classification Based on Immune Clonal Feature Selection.

Xiangrong Zhang, Tan Shan, Licheng Jiao

Proceedings of the Image Analysis and Recognition: International Conference, 2004

Ridgelets Frame.

Tan Shan, Licheng Jiao, Xiangchu Feng

Proceedings of the Image Analysis and Recognition: International Conference, 2004

A Brushlet-Based Feature Set Applied to Texture Classification.

Tan Shan, Xiangrong Zhang, Licheng Jiao

Proceedings of the Computational and Information Science, First International Symposium, 2004