Fangxin Shang

20 papers A* 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
FCMBench: A Comprehensive Financial Credit Multimodal Benchmark for Real-world Applications.
CoRR
Yehui Yang, Dalu Yang, Wenshuo Zhou, Fangxin Shang, Yifan Liu, Jie Ren, Haojun Fei, Qing Yang, Yanwu Xu, Tao Chen
2025 — conf
An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition.
AAAI Bridge Program
Fangxin Shang, Siqi Wang, Xiaorong Wang, Yehui Yang
2025 J jnl
MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation.
CoRR
Fangxin Shang, Yuan Xia, Dalu Yang, Yahui Wang, Binglin Yang
2025 A* conf
Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine.
AAAI
Xiaoshuang Huang, Lingdong Shen, Jia Liu, Fangxin Shang, Hongxiang Li, Haifeng Huang, Yehui Yang
2024 — conf
A Refer-and-Ground Multimodal Large Language Model for Biomedicine.
MICCAI (12)
Xiaoshuang Huang, Haifeng Huang, Lingdong Shen, Yehui Yang, Fangxin Shang, Junwei Liu, Jia Liu
2024 J jnl
A Refer-and-Ground Multimodal Large Language Model for Biomedicine.
CoRR
Xiaoshuang Huang, Haifeng Huang, Lingdong Shen, Yehui Yang, Fangxin Shang, Junwei Liu, Jia Liu
2024 J jnl
SegICL: A Universal In-context Learning Framework for Enhanced Segmentation in Medical Imaging.
CoRR
Lingdong Shen, Fangxin Shang, Yehui Yang, Xiaoshuang Huang, Shining Xiang
2024 J jnl
Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine.
CoRR
Xiaoshuang Huang, Lingdong Shen, Jia Liu, Fangxin Shang, Hongxiang Li, Haifeng Huang, Yehui Yang
2023 J jnl
HC-Net: A hybrid convolutional network for non-human primate brain extraction.
Frontiers Comput. Neurosci.
Hong Fei, Qianshan Wang, Fangxin Shang, Wenyi Xu, Xiaofeng Chen, Yifei Chen, Haifang Li
2023 J jnl
SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations.
CoRR
Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma
2022 J jnl
An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition.
CoRR
Fangxin Shang, Siqi Wang, Yehui Yang
2022 — conf
Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater Annotations.
MICCAI (2)
Junde Wu, Huihui Fang, Zhaowei Wang, Dalu Yang, Yehui Yang, Fangxin Shang, Wenshuo Zhou, Yanwu Xu
2022 J jnl
Learning self-calibrated optic disc and cup segmentation from multi-rater annotations.
CoRR
Junde Wu, Huihui Fang, Fangxin Shang, Zhaowei Wang, Dalu Yang, Wenshuo Zhou, Yehui Yang, Yanwu Xu
2022 J jnl
One Hyper-Initializer for All Network Architectures in Medical Image Analysis.
CoRR
Fangxin Shang, Yehui Yang, Dalu Yang, Junde Wu, Xiaorong Wang, Yanwu Xu
2022 — conf
Opinions Vary? Diagnosis First!
MICCAI (2)
Junde Wu, Huihui Fang, Dalu Yang, Zhaowei Wang, Wenshuo Zhou, Fangxin Shang, Yehui Yang, Yanwu Xu
2022 J jnl
Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image.
IEEE Trans. Cybern.
Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang
2022 — conf
SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer.
MICCAI (2)
Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu
2022 J jnl
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer.
CoRR
Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu
2021 — conf
Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning.
OMIA@MICCAI
Huihui Fang, Fangxin Shang, Huazhu Fu, Fei Li, Xiulan Zhang, Yanwu Xu
2020 J jnl
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image.
CoRR
Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang