Luyi Han

8 papers · 2024–2026 · 2 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 🚀 Conference Pioneer

Venues

MICCAI (7) AAAI (1)

Top co-authors

Tao Tan (8) Yuan Gao (5) Xinglong Liang (5) Tianyu Zhang (5) Xin Wang (5) Chunyao Lu (5) Ritse Mann (5) Xinyu Xie (2) Regina Beets-Tan (2) Yue Sun (2)

Research topics

Artificial Intelligence (1) Deep Learning (1) Machine Learning (1) Core AI (1) Core Methods (1) Techniques (1)

Keywords

temporal modeling (1) multimodal learning (1) longitudinal analysis (1) knowledge decomposition (1) breast cancer recurrence prediction (1) vision-language contrastive pretraining (1)

Papers

LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence AAAI 2026 ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis MICCAI 2025 DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation MICCAI 2025 FDF-VQVAE: A Frequency Disentanglement and Fusion Learning Framework for Multi-Sequence MRI Enhancement MICCAI 2025 Tumor Segmentation with Heterogeneity Clustering in Non-contrast Breast MRI MICCAI 2025 Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model MICCAI 2024 Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI MICCAI 2024 Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms MICCAI 2024