Shan Tan

41 papers A* 5B 2Journal 24Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Adapting 2D Foundation Models for Parkinson's Disease Diagnosis on 3D Brain MRI Images.
BIBM
Xuanyan Wu, Jiahao Liu, Jun Cheng, Xuping Huang, Shan Tan
2025 — conf
HA-SAM: Hierarchically Adapting SAM for Nerve Segmentation in Ultrasound Images.
MICCAI (6)
Zihao Peng, Susu Kang, Xuping Huang, Xucheng Xiang, Gengyu He, Tianzhu Liu, Wei Mei, Shan Tan
2025 J jnl
Image Restoration Learning via Noisy Supervision in the Fourier Domain.
CoRR
Haosen Liu, Jiahao Liu, Shan Tan, Edmund Y. Lam
2025 J jnl
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition.
CoRR
Yifan Lan, Xin Cai, Jun Cheng, Shan Tan
2025 J jnl
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition.
Trans. Mach. Learn. Res.
Yifan Lan, Cai xin, Jun Cheng, Shan Tan
2025 — conf
Progressive Learning for Semi-Supervised Ultrasound Image Segmentation.
BIBM
Genyu He, Xucheng Xiang, Yijin Gong, Tianzhu Liu, Wei Mei, Shan Tan
2025 — conf
Self-Supervised Low-Dose CT Denoising via Global Patch Matching and Diffusion Refinement.
BIBM
Boheng Tan, Jun Chen, Xuan Liu, Shan Tan
2025 J jnl
The Tenth NTIRE 2025 Image Denoising Challenge Report.
CoRR
Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li, Xiangyu Kong, Hyunhee Park, Xiaoxuan Yu, Suejin Han, Hakjae Jeon, Jia Li, Hyungju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Jingyu Ma, Zhijuan Huang, Huiyuan Fu, Hongyuan Yu, Boqi Zhang, Jiawei Shi, Heng Zhang, Huadong Ma, Deepak Kumar Tyagi, Aman Kukretti, Gajender Sharma, Sriharsha Koundinya, Asim Manna, Jun Cheng, Shan Tan, Jun Liu, Jiangwei Hao, Jianping Luo, Jie Lu, Satya Narayan Tazi, Arnim Gautam, Aditi Pawar, Aishwarya Joshi, Akshay Dudhane, Praful Hambadre, Sachin Chaudhary, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jiachen Tu, Nikhil Akalwadi, Vijayalaxmi Ashok Aralikatti, Dheeraj Damodhar Hegde, G. Gyaneshwar Rao, Jatin Kalal, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Zhenyuan Lin, Yubo Dong, Weikun Li, Anqi Li, Ang Gao, Weijun Yuan, Zhan Li, Ruting Deng, Yihang Chen, Yifan Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Jan Seny, Pei Zhou, Jianhua Hu, K. L. Eddie Law, Jaeho Lee, M. J. Aashik Rasool, Abdur Rehman, SMA Sharif, Seongwan Kim, Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Zeyu Xiao, Zhuoyuan Li, Ziqi Wang, Yanyan Wei, Fei Wang, Kun Li, Shengeng Tang, Yunkai Zhang, Weirun Zhou, Haoxuan Lu
2024 J jnl
Deep Filtered Back Projection for CT Reconstruction.
IEEE Access
Xi Tan, Xuan Liu, Kai Xiang, Jing Wang, Shan Tan
2024 — conf
Deep Learning Models for Discrimination of Parkinson's disease and Multiple System Atrophy on Brain Magnetic Resonance Imaging.
FAIML
Yuji Du, Xuanyan Wu, Hao Yang, Dong Liang, Jianing Jin, Dongning Su, Chengzhang He, Yun Ling, Zhonglue Chen, Kang Ren, Tao Feng, Shan Tan
2024 A* conf
Diffusion Priors for Variational Likelihood Estimation and Image Denoising.
NeurIPS
Jun Cheng, Shan Tan
2024 J jnl
Diffusion Priors for Variational Likelihood Estimation and Image Denoising.
CoRR
Jun Cheng, Shan Tan
2024 J jnl
Exploring and Exploiting Multi-Modality Uncertainty for Tumor Segmentation on PET/CT.
IEEE J. Biomed. Health Informatics
Susu Kang, Yixiong Kang, Shan Tan
2024 — conf
Siamese Contrastive Reverse Distillation for Industrial Anomaly Localization.
FAIML
Dong Liang, Yuji Du, Shan Tan
2024 A* conf
Transfer CLIP for Generalizable Image Denoising.
CVPR
Jun Cheng, Dong Liang, Shan Tan
2024 J jnl
Transfer CLIP for Generalizable Image Denoising.
CoRR
Jun Cheng, Dong Liang, Shan Tan
2024 J jnl
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains.
IEEE Trans. Medical Imaging
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, XiaoKun Liang
2023 J jnl
A Diffusion Probabilistic Prior for Low-Dose CT Image Denoising.
CoRR
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, XiaoKun Liang
2023 — conf
BSDIB: Balanced Self-Distillation Information Bottleneck for Long-Tailed Visual Recognition.
FAIML
Xin Cai, Shan Tan
2023 J jnl
Bridging Feature Gaps to Improve Multi-Organ Segmentation on Abdominal Magnetic Resonance Image.
IEEE J. Biomed. Health Informatics
Susu Kang, Muyuan Yang, X. Sharon Qi, Jun Jiang, Shan Tan
2023 J jnl
Image Denoising via Style Disentanglement.
CoRR
Jingwei Niu, Jun Cheng, Shan Tan
2023 J jnl
Learning feature fusion via an interpretation method for tumor segmentation on PET/CT.
Appl. Soft Comput.
Susu Kang, Zhiyuan Chen, Laquan Li, Wei Lu, X. Sharon Qi, Shan Tan
2023 A* conf
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising.
ICCV
Jun Cheng, Tao Liu, Shan Tan
2023 J jnl
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising.
CoRR
Jun Cheng, Tao Liu, Shan Tan
2023 A* conf
Spectral Bayesian Uncertainty for Image Super-Resolution.
CVPR
Tao Liu, Jun Cheng, Shan Tan
2023 J jnl
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains.
CoRR
Xuan Liu, Yaoqin Xie, Songhui Diao, Shan Tan, XiaoKun Liang
2022 B conf
Decoupled Frequency Learning for Dynamic Scene Deblurring.
ICPR
Tao Liu, Shan Tan
2022 J jnl
Group Sparsity Mixture Model and Its Application on Image Denoising.
IEEE Trans. Image Process.
Haosen Liu, Laquan Li, Jiangbo Lu, Shan Tan
2022 B conf
TwinLSTM: Two-channel LSTM Network for Online Action Detection.
ICPR
Yunfei Han, Shan Tan
2021 J jnl
Deep learning with multiple scale attention and direction regularization for asset price prediction.
Expert Syst. Appl.
Fucui Xu, Shan Tan
2021 A* conf
Self-Supervised Image Prior Learning with GMM from a Single Noisy Image.
ICCV
Haosen Liu, Xuan Liu, Jiangbo Lu, Shan Tan
2020 J jnl
Deep learning for variational multimodality tumor segmentation in PET/CT.
Neurocomputing
Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan
2020 — conf
Dynamic Portfolio Management Based on Pair Trading and Deep Reinforcement Learning.
CIIS
Fucui Xu, Shan Tan
2019 J jnl
Image Regularizations Based on the Sparsity of Corner Points.
IEEE Trans. Image Process.
Haosen Liu, Shan Tan
2018 — conf
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response.
DATRA/PIPPI@MICCAI
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
2018 J jnl
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response.
CoRR
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
2018 J jnl
Statistical Iterative CBCT Reconstruction Based on Neural Network.
IEEE Trans. Medical Imaging
Binbin Chen, Kai Xiang, Zaiwen Gong, Jing Wang, Shan Tan
2018 J jnl
The first MICCAI challenge on PET tumor segmentation.
Medical Image Anal.
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
2017 — conf
Infrared image change detection of substation equipment in power system using random forest.
ICNC-FSKD
Hua Yang, Jipu Gao, Changbao Xu, Zheng Long, Weigang Feng, Shaohua Xiong, Shuaiwei Liu, Shan Tan
2017 J jnl
Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties.
IEEE Trans. Medical Imaging
Liang Liu, Xinxin Li, Kai Xiang, Jing Wang, Shan Tan
2017 J jnl
Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations.
Comput. Vis. Image Underst.
Laquan Li, Jian Wang, Wei Lu, Shan Tan