Research
My research interests lie in AI for healthcare and generative modeling, particularly applying image segmentation, diffusion models, and LLMs to advance healthcare practices.
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Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang
CVPR, 2023 Highlight Top 2.5%
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Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang
MICCAI, 2023
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Unsupervised Image Denoising with Score Function
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
NeurIPS, 2023
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Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review
Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong
Medicine Plus, 2024
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Advanced prompting as a catalyst: Empowering large language models in the management of gastrointestinal cancers
Jiajia Yuan*, Peng Bao*, Zifan Chen*, Mingze Yuan*, Jie Zhao, Jiahua Pan, Yi Xie, Yanshuo Cao, Yakun Wang, Zhenghang Wang, Zhihao Lu, Xiaotian Zhang, Jian Li, Lei Ma, Yang Chen, Li Zhang, Lin Shen, Bin Dong
(*: These authors contributed equally)
The Innovation Medicine, 2023
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Diffusion Model for Generative Image Denoising
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
arXiv preprint, 2023
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Selected Honors and Awards
- Gold Medal, the 32nd China Mathematics Olympid (CMO), 2016
- China National Scholarship, Peking University, 2023
- Challenge Winner Award (Champion), CrossMoDA, MICCAI 2022
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