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Shuo Li

Case Western Reserve University, Cleveland, OH, USA

21 papers at tracked venues · 7 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-5184-3230 ↗Google Scholar ↗Homepage ↗

Venues

MICCAI ×12AAAI ×4ICCV ×2CVPR ×1ECCV ×1IJCAI ×1

Frequent coauthors

Xinghua Ma
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Qikui Zhu
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Xiaoxiao Cui
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Mazlum Ferhat Arslan
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Fanding Li
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Daojun Liang
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Surong Chu
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Qingtao Pan
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Bin Huang
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Xingyu Qiu
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Ziman Yin
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Rongchang Zhao
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Papers

  1. Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation
    AAAI 2026 ·
    Fanding Li
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  2. DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
    AAAI 2026 ·
    Daojun Liang
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  3. A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography
    AAAI 2025 ·
    Xinghua Ma
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  4. Anatomy-Based Self-supervised Pre-training for Scale-Robust Hierarchical Representations in Chest X-Rays
    MICCAI 2025 ·
    Surong Chu
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  5. Causality-Driven Spatio-Temporal Generator for Multi-phase Contrast-Enhanced CT Synthesis
    MICCAI 2025 ·
    Qikui Zhu
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  6. DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
    AAAI 2025 ·
    Qingtao Pan
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  7. E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
    MICCAI 2025 ·
    Bin Huang
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  8. Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network
    CVPR 2025 ·
    Xingyu Qiu
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  9. Information Bottleneck-Based Causal Attention for Multi-label Medical Image Recognition
    MICCAI 2025 ·
    Xiaoxiao Cui
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  10. Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-supervised Segmentation
    MICCAI 2025 ·
    Ziman Yin
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  11. Neuromanifold-Regularized KANs for Shape-fair Feature Representations
    ICCV 2025 ·
    Mazlum Ferhat Arslan
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  12. RadKAM: Attention-Driven Kolmogorov-Arnold Model for Automatic Radiation-Induced Lymphopenia Prediction by Multimodal Learning
    MICCAI 2025 ·
    Rongchang Zhao
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  13. Rethinking Multi-view Mammogram Representation Learning via Counterfactual Reasoning with Kolmogorov-Arnold Theorem
    MICCAI 2025 ·
    Guoli Wang
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  14. Vector Contrastive Learning for Pixel-Wise Pretraining in Medical Vision
    ICCV 2025 ·
    Yuting He
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  15. CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment
    MICCAI 2024 ·
    Yiran Li
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  16. Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction
    MICCAI 2024 ·
    Jianfeng Zhao
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  17. Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification
    IJCAI 2024 ·
    Qikui Zhu
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  18. Energy-Induced Explicit Quantification for Multi-modality MRI Fusion
    ECCV 2024 ·
    Xiaoming Qi
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  19. Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
    MICCAI 2024 ·
    Xiaoxiao Cui
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  20. Single-source Domain Generalization in Deep Learning Segmentation via Lipschitz Regularization
    MICCAI 2024 ·
    Mazlum Ferhat Arslan
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  21. Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography
    MICCAI 2024 ·
    Xinghua Ma
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