Fangxin Shang

According to our database, Fangxin Shang authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

FCMBench-Video: Benchmarking Document Video Intelligence.

Runze Cui, Fangxin Shang, Yehui Yang, Qing Yang, Yanwu Xu, Tao Chen

CoRR, April, 2026

FCMBench: A Comprehensive Financial Credit Multimodal Benchmark for Real-world Applications.

Yehui Yang, Dalu Yang, Wenshuo Zhou, Fangxin Shang, Yifan Liu, Jie Ren, Haojun Fei, Qing Yang, Yanwu Xu, Tao Chen

CoRR, January, 2026

2025

MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation.

Fangxin Shang, Yuan Xia, Dalu Yang, Yahui Wang, Binglin Yang

CoRR, August, 2025

An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition.

Fangxin Shang, Siqi Wang, Xiaorong Wang, Yehui Yang

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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., February, 2023

SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations.

Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma

CoRR, 2023

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, Wensheng Zhang, Tianzhu Zhang

IEEE Trans. Cybern., 2022

One Hyper-Initializer for All Network Architectures in Medical Image Analysis.

Fangxin Shang, Yehui Yang, Dalu Yang, Junde Wu, Xiaorong Wang, Yanwu Xu

CoRR, 2022

An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition.

Fangxin Shang, Siqi Wang, Yehui Yang

CoRR, 2022

Opinions Vary? Diagnosis First!

Junde Wu, Huihui Fang, Dalu Yang, Zhaowei Wang, Wenshuo Zhou, Fangxin Shang, Yehui Yang, Yanwu Xu

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

Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater Annotations.

Junde Wu, Huihui Fang, Zhaowei Wang, Dalu Yang, Yehui Yang, Fangxin Shang, Wenshuo Zhou, Yanwu Xu

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

SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer.

Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu

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

2021

Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning.

Huihui Fang, Fangxin Shang, Huazhu Fu, Fei Li, Xiulan Zhang, Yanwu Xu

Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021