Image Motion Restoration Using Fractional-Order Gradient Prior. - Ying Fu 003; Xi Wu 004; Xiaohua Li; Kun He 007; Yi Zhang 018; Jiliu Zhou (Informatica, 2015)

Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method. - Yan Wang 015; Xi Wu 004; Guangkai Ma; Zongqing Ma; Ying Fu 003; Jiliu Zhou (MLMI@MICCAI, 2016)

Sparse Representation-Based Radiomics in the Diagnosis of Thyroid Nodules. - Yunhua Cao; Ying Fu 003; Guang Yang (ICAIS (1), 2019)

Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning. - Jinrong Hu; Shanhui Sun; Xiaodong Yang; Shuang Zhou 001; Xin Wang 045; Ying Fu 003; Jiliu Zhou; Youbing Yin; Kunlin Cao; Qi Song 001; Xi Wu 004 (IEEE Access, 2019)

MRI Denoising Using Low Rank Prior and Sparse Gradient Prior. - Yuhan Zhang; Zhipeng Yang; Jinrong Hu; Shurong Zou; Ying Fu 003 (IEEE Access, 2019)

A Survey on Deep Learning for Super-Resolution of Diffusion Magnetic Resonance Imaging. - Suyang Luo; Jinrong Hu; Zhipeng Yang; Dequan Guo; Hong Wei; Ying Fu 003 (J. Medical Imaging Health Informatics, 2021)

Contrastive Class-Specific Encoding for Few-Shot Object Detection. - Dizhong Lin; Ying Fu 003; Xin Wang 045; Shu Hu 001; Bin Zhu 008; Qi Song 001; Xi Wu 004; Siwei Lyu (ICME, 2022)

Make U-Net Greater: An Easy-to-Embed Approach to Improve Segmentation Performance Using Hypergraph. - Jing Peng 003; Jingfu Yang; Chaoyang Xia; Xiaojie Li 001; Yanfen Guo; Ying Fu 003; Xinlai Chen; Zhe Cui (Comput. Syst. Sci. Eng., 2022)

Improving Cross-dataset Deepfake Detection with Deep Information Decomposition. - Shanmin Yang; Shu Hu 001; Bin Zhu 008; Ying Fu 003; Siwei Lyu; Xi Wu 004; Xin Wang 045 (CoRR, 2023)

Masked Conditional Diffusion Model for Enhancing Deepfake Detection. - Tiewen Chen; Shanmin Yang; Shu Hu 001; Zhenghan Fang; Ying Fu 003; Xi Wu 004; Xin Wang 045 (IJCNN, 2024)

LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset. - Ruikun Zhang; Hao Yang 040; Yan Yang 011; Ying Fu 003; Liyuan Pan (MMAsia, 2024)

VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring. - Ying Fu 003; Xinyu Zhu; Xiaojie Li 001; Xin Wang 045; Xi Wu 004; Shu Hu 001; Yi Wu; Siwei Lyu; Wei Liu 044 (IEEE Trans. Multim., 2025)