Dynamic Phasor Modeling of MMC-HVDC Systems. - Hui Fang; Hongji Xiang; Shangxuan Li; Yechun Xin; Jingsen Zhou; Yanxu Wang (ICISCAE, 2022)

Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR. - Shangxuan Li; Yanyan Xie; Guangyi Wang; Lijuan Zhang; Wu Zhou 002 (Comput. Medical Imaging Graph., 2022)

Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma. - Shangxuan Li; Yanyan Xie; Guangyi Wang; Lijuan Zhang; Wu Zhou 002 (IEEE J. Biomed. Health Informatics, 2022)

Teeth and Root Canals Segmentation using Zxyformer with Uncertainty Guidance and Weight Transfer. - Shangxuan Li; Yu Du; Li Ye; Chichi Li; Yanshu Fang; Cheng Wang; Wu Zhou 002 (ISBI, 2023)

Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma. - Shangxuan Li; Yanshu Fang; Guangyi Wang; Lijuan Zhang; Wu Zhou 002 (ISBI, 2023)

Triplet-Uncertainty in Multi-Task Deep Learning for Improving Malignancy Characterization of Hepatocellular Carcinoma. - Yanyan Xie; Shangxuan Li; Xian Li; Baoer Liu; Yikai Xu; Wu Zhou 002 (ISBI, 2023)

Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT. - Shangxuan Li; Chichi Li; Yu Du; Li Ye; Yanshu Fang; Cheng Wang; Wu Zhou 002 (MICCAI (5), 2023)

Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. - Yunling Li; Shangxuan Li; Hanqiu Ju; Tatsuya Harada; Honglai Zhang; Ting Duan; Guangyi Wang; Lijuan Zhang; Lin Gu 003; Wu Zhou 002 (Pattern Recognit., 2023)

Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model. - Feilin Deng; Shangxuan Li; Baoer Liu; Yikai Xu; Wu Zhou 002 (ISBI, 2024)

Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model. - Shangxuan Li; Baoer Liu; Feilin Deng; Yikai Xu; Wu Zhou 002 (ISBI, 2024)

A diffusion-stimulated CT-US registration model with self-supervised learning and synthetic-to-real domain adaptation. - Shangxuan Li; Biao Jia; Weiming Huang; Xiaobo Zhang; Wu Zhou; Cheng Wang; Gaojun Teng (Comput. Medical Imaging Graph., 2025)