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ORCIDShangqi Gao
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2020 – today
- 2024
[c5]Shangqi Gao, Lisa Browning, Nasullah Khalid Alham, Andrew Protheroe, Keir Edwards, Josh Hamblin, Jens Rittscher, Clare Verrill:
Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks. ISBI 2024: 1-5- [i9]Jiyao Liu, Yuxin Li, Shangqi Gao, Yuncheng Zhou, Xin Gao, Ningsheng Xu, Xiao-Yong Zhang, Xiahai Zhuang:
Trustworthy Contrast-enhanced Brain MRI Synthesis. CoRR abs/2407.07372 (2024) - 2023
- [j8]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: 102875 (2023) - [j7]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. Medical Image Anal. 89: 102889 (2023) - [j6]Shangqi Gao, Xiahai Zhuang:
Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1405-1423 (2023) - [c4]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: 21-31 - [i8]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 abs/2301.05392 (2023) - [i7]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability. CoRR abs/2303.01710 (2023) - 2022
- [j5]Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3224-3238 (2022) - [c3]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: 360-369 - [i6]Shangqi Gao, Xiahai Zhuang:
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics. CoRR abs/2204.00623 (2022) - [i5]Shangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang:
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. CoRR abs/2206.04336 (2022) - 2021
- [c2]Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CVPR Workshops 2021: 373-381 - [i4]Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. CoRR abs/2104.08575 (2021) - [i3]Dengqiang Jia, Shangqi Gao, Qunlong Chen, Xinzhe Luo, Xiahai Zhuang:
A low-rank representation for unsupervised registration of medical images. CoRR abs/2105.09548 (2021) - 2020
- [j4]Shangqi Gao, Xiahai Zhuang:
Robust approximations of low-rank minimization for tensor completion. Neurocomputing 379: 319-333 (2020) - [j3]Shangqi Gao, Qibin Fan:
Robust Schatten-p Norm Based Approach for Tensor Completion. J. Sci. Comput. 82(1): 11 (2020) - [i2]Shangqi Gao, Xiahai Zhuang:
Rank-One Network: An Effective Framework for Image Restoration. CoRR abs/2011.12610 (2020)
2010 – 2019
- 2019
- [j2]Shangqi Gao, Qibin Fan:
Robust balancing scheme-based approach for tensor completion. Neurocomputing 330: 328-336 (2019) - [c1]Shangqi Gao, Xiahai Zhuang:
Multi-Scale Deep Neural Networks for Real Image Super-Resolution. CVPR Workshops 2019: 2006-2013 - [i1]Shangqi Gao, Xiahai Zhuang:
Multi-scale deep neural networks for real image super-resolution. CoRR abs/1904.10698 (2019) - 2018
- [j1]Shangqi Gao, Qibin Fan:
A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion. J. Sci. Comput. 75(1): 43-64 (2018)
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