Guotai Wang

16 papers · 2021–2026 · 4 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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+2 more ↓

🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🤝 Dynamic Duo (10) ⚡ Prolific Year · Prolific

🚀 Conference Pioneer 💎 Century Club · Bronze

Venues

MICCAI (13) AAAI (1) CVPR (1) MIDL (1)

Top co-authors

Shaoting Zhang (10) Xiangde Luo (5) Wenjun Liao (4) Shichuan Zhang (4) Lanfeng Zhong (4) Jianghao Wu (3) Zihao Luo (3) Xiaoran Qi (2) Zijun Gao (2) Jia Fu (2)

Research topics

Computer Vision (2) Machine Learning (2) Domain-Specific (2) Learning Types · Machine Learning (2) Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Learning Types · Deep Learning (1) Processing (1)

Keywords

semi-supervised learning (2) medical image segmentation (2) multimodal learning (1) data privacy (1) convolutional neural network (1) consistency regularization (1) pseudo label (1) dual-task learning (1) level set method (1) cross teaching (1) catastrophic forgetting (1) continual self-supervised learning (1) medical imaging (1)

Papers

InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training CVPR 2026 CSAL-3D: Cold-start Active Learning for 3D Medical Image Segmentation via SSL-driven Uncertainty-Reinforced Diversity Sampling MICCAI 2025 DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs MICCAI 2025 Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model MICCAI 2025 FDAS: Foundation Model Distillation and Anatomic Structure-aware Multi-task Learning for Self-Supervised Medical Image Segmentation MICCAI 2025 OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models MICCAI 2025 ReCo-I2P: An Incomplete Supervised Lymph Node Segmentation Framework Based on Orthogonal Partial-instance Annotation MICCAI 2025 StyleGAN-based Brain MRI Anomaly Detection via Latent Code Retrieval and Partial Swap MICCAI 2025 SUGFW: A SAM-based Uncertainty-guided Feature Weighting Framework for Cold Start Active Learning MICCAI 2025 TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation MICCAI 2025 UM-SAM: Unsupervised Medical Image Segmentation using Knowledge Distillation from Segment Anything Model MICCAI 2025 An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation MICCAI 2024 IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation MICCAI 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 Semi-supervised Medical Image Segmentation through Dual-task Consistency AAAI 2021