A Mixture of Nuclear Norm and Matrix Factorization for Tensor Completion. - Shangqi Gao; Qibin Fan (J. Sci. Comput., 2018)

Multi-Scale Deep Neural Networks for Real Image Super-Resolution. - Shangqi Gao; Xiahai Zhuang (CVPR Workshops, 2019)

Robust balancing scheme-based approach for tensor completion. - Shangqi Gao; Qibin Fan (Neurocomputing, 2019)

Robust approximations of low-rank minimization for tensor completion. - Shangqi Gao; Xiahai Zhuang (Neurocomputing, 2020)

Robust Schatten-p Norm Based Approach for Tensor Completion. - Shangqi Gao; Qibin Fan (J. Sci. Comput., 2020)

VSpSR: Explorable Super-Resolution via Variational Sparse Representation. - Hangqi Zhou; Chao Huang; Shangqi Gao; Xiahai Zhuang (CVPR Workshops, 2021)

A low-rank representation for unsupervised registration of medical images. - Dengqiang Jia; Shangqi Gao; Qunlong Chen; Xinzhe Luo; Xiahai Zhuang (CoRR, 2021)

Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation. - Shangqi Gao; Hangqi Zhou; Yibo Gao; Xiahai Zhuang (MICCAI (5), 2022)

Rank-One Network: An Effective Framework for Image Restoration. - Shangqi Gao; Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN. - Jiyao Liu; Yuxin Li; Nannan Shi; Yuncheng Zhou; Shangqi Gao; Yuxin Shi; Xiao-Yong Zhang; Xiahai Zhuang (SASHIMI@MICCAI, 2023)

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. - Kaiwen Wan; Lei Li 020; Dengqiang Jia; Shangqi Gao; Wei Qian; Yingzhi Wu; Huandong Lin; Xiongzheng Mu; Xin Gao; Sijia Wang; Fuping Wu; Xiahai Zhuang (CoRR, 2023)

Bayesian Image Super-Resolution With Deep Modeling of Image Statistics. - Shangqi Gao; Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability. - Shangqi Gao; Hangqi Zhou; Yibo Gao; Xiahai Zhuang (Medical Image Anal., 2023)

Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. - Kaiwen Wan; Lei Li 020; Dengqiang Jia; Shangqi Gao; Wei Qian; Yingzhi Wu; Huandong Lin; Xiongzheng Mu; Xin Gao; Sijia Wang; Fuping Wu; Xiahai Zhuang (Medical Image Anal., 2023)

Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks. - Shangqi Gao; Lisa Browning; Nasullah Khalid Alham; Andrew Protheroe; Keir Edwards; Josh Hamblin; Jens Rittscher; Clare Verrill (ISBI, 2024)

Trustworthy Contrast-enhanced Brain MRI Synthesis. - Jiyao Liu; Yuxin Li; Shangqi Gao; Yuncheng Zhou; Xin Gao; Ningsheng Xu; Xiao-Yong Zhang; Xiahai Zhuang (CoRR, 2024)

InDeed: Interpretable image deep decomposition with guaranteed generalizability. - Sihan Wang; Shangqi Gao; Fuping Wu; Xiahai Zhuang (CoRR, 2025)

Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis. - Sihan Wang; Suiyang Jiang; Yibo Gao; Boming Wang; Shangqi Gao; Xiahai Zhuang (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification. - Yibo Gao; Hangqi Zhou; Zheyao Gao; Bomin Wang; Shangqi Gao; Sihan Wang; Xiahai Zhuang (CoRR, 2025)