Multi-step Cascaded Networks for Brain Tumor Segmentation. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang (BrainLes@MICCAI (1), 2019)

ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment. - Xiangyu Li 004; Xinjie Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (MICCAI (3), 2022)

Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. - Xiangyu Li 004; Gongning Luo; Wei Wang 169; Kuanquan Wang; Yue Gao 002; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification. - Pengzhong Sun; Wei Wang 169; Xiangyu Li 004; Suyu Dong; Shuo Li 001; Kuanquan Wang; Gongning Luo (BIBM, 2023)

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang; Hongyu Wang; Jun Liu 080; Xinjie Liang; Jie Jiang; Zhenghao Song; Chunyue Zheng; Haokai Chi; Mingwang Xu; Yingte He; et al. (CoRR, 2023)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. - Gongning Luo; Kuanquan Wang; Jun Liu 080; Shuo Li 001; Xinjie Liang; Xiangyu Li 004; Shaowei Gan; Wei Wang 169; Suyu Dong; Wenyi Wang; Pengxin Yu; Enyou Liu; et al. (CoRR, 2023)

Curriculum label distribution learning for imbalanced medical image segmentation. - Xiangyu Li 004; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2023)

Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning. - Xiangyu Li 004; Xinjie Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2023)

Convergent-Diffusion Denoising Model for multi-scenario CT Image Reconstruction. - Xinghua Ma; Mingye Zou; Xinyan Fang; Gongning Luo; Wei Wang 169; Suyu Dong; Xiangyu Li 004; Kuanquan Wang; Qing Dong; Ye Tian; Shuo Li 001 (Comput. Medical Imaging Graph., 2025)

Diffusion model for medical image denoising, reconstruction and translation. - Wei Wang 169; Jiayu Xia; Gongning Luo; Suyu Dong; Xiangyu Li 004; Jie Wen 001; Shuo Li 001 (Comput. Medical Imaging Graph., 2025)

MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction. - Xingyu Qiu; Dong Liang 001; Gongning Luo; Xiangyu Li 004; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2025)

Adjacency-Aware Fuzzy Label Learning for Skin Disease Diagnosis. - Murong Zhou; Baifu Zuo; Guohua Wang; Gongning Luo; Fanding Li; Suyu Dong; Wei Wang 169; Kuanquan Wang; Xiangyu Li 004; Lifeng Xu (IEEE Trans. Fuzzy Syst., 2025)

MedFILIP: Medical Fine-Grained Language-Image Pre-Training. - Xinjie Liang; Xiangyu Li 004; Fanding Li; Jie Jiang; Qing Dong; Wei Wang 169; Kuanquan Wang; Suyu Dong; Gongning Luo; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)

Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI. - Xiangyu Li 004; Yifan Liu; Manxi Xu; Hongwei Yu; Jixin Luan; Aocai Yang; Bing Liu; Amir Shmuel; Yuan Zhen; Gongning Luo; Wei Wang 169; Guolin Ma; et al. (Inf. Fusion, 2026)