Xiangyu Li

According to our database, Xiangyu Li authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI.

Xiangyu Li, Yifan Liu, Manxi Xu, Hongwei Yu, Jixin Luan, Aocai Yang, Bing Liu, Amir Shmuel, Yuan Zhen, Gongning Luo, Wei Wang, Guolin Ma, Kuanquan Wang

Inf. Fusion, 2026

2025

MedFILIP: Medical Fine-Grained Language-Image Pre-Training.

Xinjie Liang, Xiangyu Li, Fanding Li, Jie Jiang, Qing Dong, Wei Wang, Kuanquan Wang, Suyu Dong, Gongning Luo, Shuo Li

IEEE J. Biomed. Health Informatics, May, 2025

Adjacency-Aware Fuzzy Label Learning for Skin Disease Diagnosis.

Murong Zhou, Baifu Zuo, Guohua Wang, Gongning Luo, Fanding Li, Suyu Dong, Wei Wang, Kuanquan Wang, Xiangyu Li, Lifeng Xu

IEEE Trans. Fuzzy Syst., May, 2025

MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction.

Xingyu Qiu, Dong Liang, Gongning Luo, Xiangyu Li, Wei Wang, Kuanquan Wang, Shuo Li

Medical Image Anal., 2025

Diffusion model for medical image denoising, reconstruction and translation.

Wei Wang, Jiayu Xia, Gongning Luo, Suyu Dong, Xiangyu Li, Jie Wen, Shuo Li

Comput. Medical Imaging Graph., 2025

Convergent-Diffusion Denoising Model for multi-scenario CT Image Reconstruction.

Xinghua Ma, Mingye Zou, Xinyan Fang, Gongning Luo, Wei Wang, Suyu Dong, Xiangyu Li, Kuanquan Wang, Qing Dong, Ye Tian, Shuo Li

Comput. Medical Imaging Graph., 2025

2023

Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning.

Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li

Medical Image Anal., December, 2023

Curriculum label distribution learning for imbalanced medical image segmentation.

Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li

Medical Image Anal., October, 2023

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.

Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao

CoRR, 2023

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.

Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li

CoRR, 2023

Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification.

Pengzhong Sun, Wei Wang, Xiangyu Li, Suyu Dong, Shuo Li, Kuanquan Wang, Gongning Luo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation.

Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Yue Gao, Shuo Li

IEEE J. Biomed. Health Informatics, 2022

ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment.

Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019

Multi-step Cascaded Networks for Brain Tumor Segmentation.

Xiangyu Li, Gongning Luo, Kuanquan Wang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019