Normalization of face illumination with photorealistic texture via deep image prior synthesis. - Xianjun Han; Yanli Liu 002; Hongyu Yang; Guanyu Xing; Yanci Zhang (Neurocomputing, 2020)

Asymmetric Joint GANs for Normalizing Face Illumination From a Single Image. - Xianjun Han; Hongyu Yang; Guanyu Xing; Yanli Liu 002 (IEEE Trans. Multim., 2020)

Small data assisting face image illumination normalization. - Xianjun Han; Huabin Wang; Hongyu Yang; Xuejun Li 001 (Comput. Graph., 2021)

Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience. - Xianjun Han; Nan Luo; Lixue Xu; Jiaxin Cao; Ning Guo; Yi He; Min Hong; Xibin Jia; Zhenchang Wang; Zhenghan Yang (BMC Medical Imaging, 2022)

Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model. - Xibin Jia; Chen Qian; Zhenghan Yang; Hui Xu; Xianjun Han; Hao Ren; Xinru Wu; Boyang Ma; Dawei Yang; Hong Min (KSII Trans. Internet Inf. Syst., 2022)

Pyramid Attention "Zero-Shot" Network for Single-Image Superresolution. - Xianjun Han; Huabin Wang; Xuejun Li 001; Hongyu Yang (IEEE Trans. Netw. Sci. Eng., 2022)

Ref-ZSSR: Zero-Shot Single Image Superresolution with Reference Image. - Xianjun Han; Xue Wang; Huabin Wang; Xuejun Li 001; Hongyu Yang (Comput. Graph. Forum, 2022)

Medical Image Super-Resolution via Diagnosis-Guided Attention. - Jingwei Wang; Peng Zhou 006; Xianjun Han; Yanming Chen 002 (ICME, 2023)

Contrastive Learning for Prediction of Alzheimer's Disease Using Brain 18F-FDG PET. - Yonglin Chen; Huabin Wang; Gong Zhang; Xiao Liu 004; Wei Huang; Xianjun Han; Xuejun Li 001; Melanie Martin; Liang Tao (IEEE J. Biomed. Health Informatics, 2023)

Learning the degradation distribution for medical image superresolution via sparse swin transformer. - Xianjun Han; Zhaoyang Xie; Qianqian Chen; Xuejun Li 001; Hongyu Yang (Comput. Graph., 2023)

Multiscale progressive text prompt network for medical image segmentation. - Xianjun Han; Qianqian Chen; Zhaoyang Xie; Xuejun Li 001; Hongyu Yang (Comput. Graph., 2023)

MRFormer: Multiscale retractable transformer for medical image progressive denoising via noise level estimation. - Can Bai; Xianjun Han (Image Vis. Comput., 2024)

Integrating prior knowledge into a bibranch pyramid network for medical image segmentation. - Xianjun Han; Tiantian Li; Can Bai; Hongyu Yang (Image Vis. Comput., 2024)

Exploring Fast and Flexible Zero-Shot Low-Light Image/Video Enhancement. - Xianjun Han; Taoli Bao; Hongyu Yang (Comput. Graph. Forum, 2024)

Integrated multimodal hierarchical fusion and meta-learning for enhanced molecular property prediction. - Xianjun Han; Zhenglong Zhang; Can Bai; Zijian Wu (Briefings Bioinform., 2025)

Predicting synergistic drug combinations via hierarchical molecular representation and cell line latent space fusion. - Can Bai; Xianjun Han; Siqi Li; Yue Zhang (Comput. Methods Programs Biomed., 2025)

Improving a segment anything model for segmenting low-quality medical images via an adapter. - Can Bai; Jie Wang; Xianjun Han; Zijian Wu (Comput. Vis. Image Underst., 2025)

Triview Molecular Representation Learning Combined with Multitask Optimization for Enhanced Molecular Property Prediction. - Xianjun Han; Junxiang Cai; Can Bai; Zijian Wu (J. Chem. Inf. Model., 2025)

Exploring training data-free video generation from a single image via a stable diffusion model. - Xianjun Han; Huayong Sheng; Can Bai (J. Vis. Commun. Image Represent., 2025)

Multi-scale Main-auxiliary MRI Sequences Fusion Based U-Net for Focal Lesion Segmentation. - Xibin Jia; Chuanxu Yang; Yifan Yang; Chen Qian; Luo Wang; Zhenghan Yang; Hui Xu; Xianjun Han; Hao Ren; Xinru Wu; Boyang Ma; Dawei Yang (KSII Trans. Internet Inf. Syst., 2025)