4 papers
SCKAN: Structural Consensus-based KAN Prototype Learning for Semi-Supervised Pancreas Segmentation
Yuqi Liu, Yufei Chen, Wei Fu +2
Accurate pancreas segmentation is critical for early cancer diagnosis, where annotation scarcity necessitates Semi-Supervised Learning (SSL). However, due to significant inter-samp…
Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
Yuting He, Chenyu You, Shuo Li
Multi-modality medical vision (MV) foundation models (FM) are fundamentally challenged by pronounced Non-IID feature statistics across heterogeneous imaging modalities. Monolithic…
Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning
Zhuofan Xie, Zishan Lin, Jinliang Lin +3
Active Learning (AL) reduces annotation costs in medical imaging by selecting only the most informative samples for labeling, but suffers from cold-start when labeled data are scar…
MRI Contrast Enhancement Kinetics World Model
Jindi Kong, Yuting He, Cong Xia +2
Clinical MRI contrast acquisition suffers from inefficient information yield, which presents as a mismatch between the risky and costly acquisition protocol and the fixed and spars…