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Xiangde Luo

10 papers · 2021–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (12) πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer

Venues

MICCAI (5) AAAI (1) CVPR (1) ICCV (1) IJCAI (1) MIDL (1)

Top co-authors

Guotai Wang (5) Wenjun Liao (3) Hongqiu Wang (2) Zijun Gao (2) Wu Chen (2) Zihao Luo (2) Shaoting Zhang (2) LEI ZHU (2) Tao Song (2) Jianfei Cai (1)

Research topics

Computer Vision (5) Machine Learning (5) Domain-Specific (5) Learning Types (4) Processing (3) Deep Learning (2) Healthcare & Medicine (2) Clinical (2) Analysis (1) Application Areas (1) Architectures (1) Bayesian & Probabilistic (1) Models (1)

Keywords

medical image segmentation (5) semi-supervised learning (2) attention mechanism (2) computer vision (1) deep learning (1) probabilistic model (1) convolutional neural network (1) consistency regularization (1) latent space (1) vision-language model (1) positional encoding (1) pseudo label (1) cross-domain generalization (1) medical image (1) dual-task learning (1) level set method (1) active domain adaptation (1) multi-rater learning (1) personalized segmentation (1) multi-rater segmentation (1)

Papers

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model MICCAI 2025 Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model MICCAI 2025 Toward Fair and Accurate Cross-Domain Medical Image Segmentation: A VLM-Driven Active Domain Adaptation Paradigm ICCV 2025 Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset MICCAI 2024 An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation MICCAI 2024 Diversified and Personalized Multi-rater Medical Image Segmentation CVPR 2024 Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases MICCAI 2024 Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer MIDL 2022 Medical Image Segmentation using Squeeze-and-Expansion Transformers IJCAI 2021 Semi-supervised Medical Image Segmentation through Dual-task Consistency AAAI 2021