4 papers
Learning from Noisy Prompts: Saliency-Guided Prompt Distillation for Robust Segmentation with SAM
Jingxuan Kang, Ziqi Zhang, Shaoming Zheng +9
Segmentation is central to clinical diagnosis and monitoring, yet the reliability of modern foundation models in medical imaging still depends on the availability of precise prompt…
SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention
Shaoming Zheng, Yinsong Wang, Siyi Du +1
Magnetic Resonance Imaging (MRI) is a leading diagnostic modality for a wide range of exams, where multiple contrast images are often acquired for characterizing different tissues.…
CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization
Yinsong Wang, Siyi Du, Shaoming Zheng +2
Multi-contrast image registration is a challenging task due to the complex intensity relationships between different imaging contrasts. Conventional image registration methods are…
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du, Shaoming Zheng, Yinsong Wang +3
Images and structured tables are essential parts of real-world databases. Though tabular-image representation learning is promising to create new insights, it remains a challenging…