Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning. - Huihui Fang; Fangxin Shang; Huazhu Fu; Fei Li 021; Xiulan Zhang; Yanwu Xu 001 (OMIA@MICCAI, 2021)

SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer. - Junde Wu; Huihui Fang; Fangxin Shang; Dalu Yang; Zhaowei Wang 004; Jing Gao; Yehui Yang; Yanwu Xu 001 (MICCAI (2), 2022)

Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater Annotations. - Junde Wu; Huihui Fang; Zhaowei Wang 004; Dalu Yang; Yehui Yang; Fangxin Shang; Wenshuo Zhou; Yanwu Xu 001 (MICCAI (2), 2022)

Opinions Vary? Diagnosis First! - Junde Wu; Huihui Fang; Dalu Yang; Zhaowei Wang 004; Wenshuo Zhou; Fangxin Shang; Yehui Yang; Yanwu Xu 001 (MICCAI (2), 2022)

An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition. - Fangxin Shang; Siqi Wang; Yehui Yang (CoRR, 2022)

One Hyper-Initializer for All Network Architectures in Medical Image Analysis. - Fangxin Shang; Yehui Yang; Dalu Yang; Junde Wu; Xiaorong Wang; Yanwu Xu 001 (CoRR, 2022)

Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image. - Yehui Yang; Fangxin Shang; Binghong Wu; Dalu Yang; Lei Wang; Yanwu Xu 001; Wensheng Zhang 002; Tianzhu Zhang 001 (IEEE Trans. Cybern., 2022)

SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations. - Fangxin Shang; Jie Fu 001; Yehui Yang; Haifeng Huang; Junwei Liu; Lei Ma 008 (CoRR, 2023)

HC-Net: A hybrid convolutional network for non-human primate brain extraction. - Hong Fei; Qianshan Wang; Fangxin Shang; Wenyi Xu; Xiaofeng Chen; Yifei Chen; Haifang Li (Frontiers Comput. Neurosci., 2023)

A Refer-and-Ground Multimodal Large Language Model for Biomedicine. - Xiaoshuang Huang; Haifeng Huang; Lingdong Shen; Yehui Yang; Fangxin Shang; Junwei Liu; Jia Liu 010 (MICCAI (12), 2024)

SegICL: A Universal In-context Learning Framework for Enhanced Segmentation in Medical Imaging. - Lingdong Shen; Fangxin Shang; Yehui Yang; Xiaoshuang Huang; Shining Xiang (CoRR, 2024)

A Refer-and-Ground Multimodal Large Language Model for Biomedicine. - Xiaoshuang Huang; Haifeng Huang; Lingdong Shen; Yehui Yang; Fangxin Shang; Junwei Liu; Jia Liu (CoRR, 2024)

Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine. - Xiaoshuang Huang; Lingdong Shen; Jia Liu; Fangxin Shang; Hongxiang Li; Haifeng Huang; Yehui Yang (AAAI, 2025)