Shangxuan Li

According to our database, Shangxuan Li authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model.

Shangxuan Li, Baoer Liu, Feilin Deng, Yikai Xu, Wu Zhou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model.

Feilin Deng, Shangxuan Li, Baoer Liu, Yikai Xu, Wu Zhou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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, Wu Zhou

Pattern Recognit., October, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma.

Shangxuan Li, Yanshu Fang, Guangyi Wang, Lijuan Zhang, Wu Zhou

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma.

Shangxuan Li, Yanyan Xie, Guangyi Wang, Lijuan Zhang, Wu Zhou

IEEE J. Biomed. Health Informatics, 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

Comput. Medical Imaging Graph., 2022

Dynamic Phasor Modeling of MMC-HVDC Systems.

Hui Fang, Hongji Xiang, Shangxuan Li, Yechun Xin, Jingsen Zhou, Yanxu Wang

Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022