Huazhu Fu

Venues

Frequent coauthors

Papers

1. A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
   CVPR 2025 ·

   Yunlu Yan

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2. AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
   AAAI 2025 ·

   Haojin Li

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3. Cycle Context Verification for In-Context Medical Image Segmentation
   MICCAI 2025 ·

   Shishuai Hu

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4. Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
   NeurIPS 2025 ·

   Bryan Wong

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5. GEMeX-RMCoT: An Enhanced Med-VQA Dataset for Region-Aware Multimodal Chain-of-Thought Reasoning
   ACM MM 2025 ·

   Bo Liu

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6. GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-Ray Diagnosis
   ICCV 2025 ·

   Bo Liu

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7. History-Aware and Dynamic Client Contribution in Federated Learning
   ECAI 2025 ·

   Bishwamittra Ghosh

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8. Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
   AAAI 2025 ·

   Danni Peng

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9. MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
   CVPR 2025 ·

   Jianwei Zhao

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10. MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
    MICCAI 2025 ·

    Jongwoo Kim

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11. No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling
    MICCAI 2025 ·

    Young Seok Jeon

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12. Parameterized Diffusion Optimization Enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
    MICCAI 2025 ·

    Qinkai Yu

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13. RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis
    MICCAI 2025 ·

    Yuqing Li

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14. RetBench: Which Ophthalmic Foundation Model Performs Best and Why?
    MICCAI 2025 ·

    Ke Zou

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15. SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis
    MICCAI 2025 ·

    Shaobin Chen

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16. Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior
    ICCV 2025 ·

    Young Seok Jeon

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17. Text-Driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
    MICCAI 2025 ·

    Kaiwen Huang

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18. Uncertainty-Aware Multimodal Fusion for Reliable Fundus Disease Classification Using a Vision-Language Foundation Model
    MICCAI 2025 ·

    Meng Wang

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19. Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
    MICCAI 2025 ·

    Zehui Liao

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20. Vision-Language Model IP Protection via Prompt-based Learning
    CVPR 2025 ·

    Lianyu Wang

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21. An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
    CVPR 2024 ·

    Yuan Wang

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22. CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting
    MICCAI 2024 ·

    Qinkai Yu

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23. DB-SAM: Delving into High Quality Universal Medical Image Segmentation
    MICCAI 2024 ·

    Chao Qin

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24. Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis
    MICCAI 2024 ·

    Huiyan Lin

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25. Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt
    MICCAI 2024 ·

    Meng Wang

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26. FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
    MICCAI 2024 ·

    Along He

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27. MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
    MICCAI 2024 ·

    Ruiqi Wu

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28. MPMNet: Modal Prior Mutual-Support Network for Age-Related Macular Degeneration Classification
    MICCAI 2024 ·

    Yuanyuan Li

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29. MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification
    MICCAI 2024 ·

    Menghan Zhou

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30. MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer
    AAAI 2024 ·

    Junde Wu

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31. MedSynth: Leveraging Generative Model for Healthcare Data Sharing
    MICCAI 2024 ·

    Renuga Kanagavelu

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32. Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
    MICCAI 2024 ·

    Kun Huang

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33. Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting
    MICCAI 2024 ·

    Yanyu Xu

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34. Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
    MICCAI 2024 ·

    Along He

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35. Out-Of-Distribution Detection with Diversification (Provably)
    NeurIPS 2024 ·

    Haiyun Yao

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36. Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
    MICCAI 2024 ·

    Hongye Zeng

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37. Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
    NeurIPS 2024 ·

    Zhenning Shi

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38. Self-Training Large Language and Vision Assistant for Medical Question Answering
    EMNLP 2024 ·

    Guohao Sun

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39. ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
    CVPR 2024 ·

    Jiangbo Shi

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