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Fangxin Shang
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2020 – today
- 2024
- [c5]Xiaoshuang Huang, Haifeng Huang, Lingdong Shen, Yehui Yang, Fangxin Shang, Junwei Liu, Jia Liu:
A Refer-and-Ground Multimodal Large Language Model for Biomedicine. MICCAI (12) 2024: 399-409 - [i8]Lingdong Shen, Fangxin Shang, Yehui Yang, Xiaoshuang Huang, Shining Xiang:
SegICL: A Universal In-context Learning Framework for Enhanced Segmentation in Medical Imaging. CoRR abs/2403.16578 (2024) - [i7]Xiaoshuang Huang, Haifeng Huang, Lingdong Shen, Yehui Yang, Fangxin Shang, Junwei Liu, Jia Liu:
A Refer-and-Ground Multimodal Large Language Model for Biomedicine. CoRR abs/2406.18146 (2024) - 2023
- [j2]Hong Fei, Qianshan Wang, Fangxin Shang, Wenyi Xu, Xiaofeng Chen, Yifei Chen, Haifang Li:
HC-Net: A hybrid convolutional network for non-human primate brain extraction. Frontiers Comput. Neurosci. 17 (2023) - [i6]Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma:
SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations. CoRR abs/2312.00377 (2023) - 2022
- [j1]Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang:
Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image. IEEE Trans. Cybern. 52(11): 11407-11417 (2022) - [c4]Junde Wu, Huihui Fang, Dalu Yang, Zhaowei Wang, Wenshuo Zhou, Fangxin Shang, Yehui Yang, Yanwu Xu:
Opinions Vary? Diagnosis First! MICCAI (2) 2022: 604-613 - [c3]Junde Wu, Huihui Fang, Zhaowei Wang, Dalu Yang, Yehui Yang, Fangxin Shang, Wenshuo Zhou, Yanwu Xu:
Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater Annotations. MICCAI (2) 2022: 614-624 - [c2]Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu:
SeATrans: Learning Segmentation-Assisted Diagnosis Model via Transformer. MICCAI (2) 2022: 677-687 - [i5]Fangxin Shang, Siqi Wang, Yehui Yang:
An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition. CoRR abs/2205.07556 (2022) - [i4]Fangxin Shang, Yehui Yang, Dalu Yang, Junde Wu, Xiaorong Wang, Yanwu Xu:
One Hyper-Initializer for All Network Architectures in Medical Image Analysis. CoRR abs/2206.03661 (2022) - [i3]Junde Wu, Huihui Fang, Fangxin Shang, Zhaowei Wang, Dalu Yang, Wenshuo Zhou, Yehui Yang, Yanwu Xu:
Learning self-calibrated optic disc and cup segmentation from multi-rater annotations. CoRR abs/2206.05092 (2022) - [i2]Junde Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu:
SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer. CoRR abs/2206.05763 (2022) - 2021
- [c1]Huihui Fang, Fangxin Shang, Huazhu Fu, Fei Li, Xiulan Zhang, Yanwu Xu:
Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning. OMIA@MICCAI 2021: 139-147 - 2020
- [i1]Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang:
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image. CoRR abs/2008.00610 (2020)
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last updated on 2024-10-31 20:15 CET by the dblp team
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