Shangqi Gao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Matrix Factorization

Image Segmentation

Rank Minimization

Top Venues

Medical Image Anal.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang
Trustworthy Contrast-enhanced Brain MRI Synthesis. CoRR (2024)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability. CoRR (2023)
Jiyao Liu, Yuxin Li, Nannan Shi, Yuncheng Zhou, Shangqi Gao, Yuxin Shi, Xiao-Yong Zhang, Xiahai Zhuang
Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. SASHIMI@MICCAI (2023)
Shangqi Gao, Xiahai Zhuang
Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. Medical Image Anal. 89 (2023)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. Medical Image Anal. 89 (2023)
Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. CoRR (2023)
Shangqi Gao, Xiahai Zhuang
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics. CoRR (2022)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. MICCAI (5) (2022)
Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. CoRR (2022)
Shangqi Gao, Xiahai Zhuang
Rank-One Network: An Effective Framework for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CoRR (2021)
Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CVPR Workshops (2021)
Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang
A low-rank representation for unsupervised registration of medical images. CoRR (2021)
Shangqi Gao, Qibin Fan
Robust Schatten-p Norm Based Approach for Tensor Completion. J. Sci. Comput. 82 (1) (2020)
Shangqi Gao, Xiahai Zhuang
Rank-One Network: An Effective Framework for Image Restoration. CoRR (2020)
Shangqi Gao, Xiahai Zhuang
Robust approximations of low-rank minimization for tensor completion. Neurocomputing 379 (2020)
Shangqi Gao, Xiahai Zhuang
Multi-scale deep neural networks for real image super-resolution. CoRR (2019)
Shangqi Gao, Qibin Fan
Robust balancing scheme-based approach for tensor completion. Neurocomputing 330 (2019)
Shangqi Gao, Xiahai Zhuang
Multi-Scale Deep Neural Networks for Real Image Super-Resolution. CVPR Workshops (2019)
Shangqi Gao, Qibin Fan
A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion. J. Sci. Comput. 75 (1) (2018)