Jinzhu Yang

11 papers · 2023–2026 · 3 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze 🤝 Dynamic Duo (11) 💎 Century Club · Bronze ⚡ Prolific Year · Productive

🚀 Conference Pioneer

Venues

MICCAI (9) IJCAI (1) MIDL (1)

Top co-authors

Peng Cao (11) Osmar R. Zaiane (11) Xiaoli Liu (4) Zhiqiang Shen (4) Qingshan Hou (3) Yaqi Wang (2) Junjie Liang (2) Liuzeng Zhang (2) Lanting Li (2) Xi Chen (1)

Research topics

Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Machine Learning (1) Clinical (1) Domain-Specific (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Processing (1)

Keywords

medical image segmentation (2) domain generalization (1) data augmentation (1) pseudo labeling (1) collaborative learning (1) uncertainty estimation (1) semi-supervised learning (1) cardiac magnetic resonance imaging (1)

Papers

Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation MIDL 2026 BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis MICCAI 2025 ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation MICCAI 2025 Structure-aware MRI Translation: Multi-Modal Latent Diffusion Model with Arbitrary Missing Modalities MICCAI 2025 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective MICCAI 2024 A Clinical-oriented Lightweight Network for High-resolution Medical Image Enhancement MICCAI 2024 A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images MICCAI 2024 Exploring Spatio-Temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis MICCAI 2024 Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation MICCAI 2024 Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation MICCAI 2024 Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation IJCAI 2023