4 papers
ReconMIL: Synergizing Latent Space Reconstruction with Bi-Stream Mamba for Whole Slide Image Analysis
Lubin Gan, Jing Zhang, Heng Zhang +4
Whole slide image (WSI) analysis heavily relies on multiple instance learning (MIL). While recent methods benefit from large-scale foundation models and advanced sequence modeling…
A Comprehensive Ecosystem for Open-Domain Customized Video Generation
Jingxu Zhang, Yuqian Hong, Daneul Kim +6
Recent progress in video generation has shown impressive visual synthesis capabilities. However, open-domain customized video generation remains limited by the lack of large-scale,…
SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images
Lubin Gan, Xiaoman Wu, Jing Zhang +4
Multiple instance learning (MIL) has become the leading approach for extracting discriminative features from whole slide images (WSIs) in computational pathology. Attention-based M…
SSCM: A Spatial-Semantic Consistent Model for Multi-Contrast MRI Super-Resolution
Xiaoman Wu, Lubin Gan, Siying Wu +3
Multi-contrast Magnetic Resonance Imaging super-resolution (MC-MRI SR) aims to enhance low-resolution (LR) contrasts leveraging high-resolution (HR) references, shortening acquisit…