4 papers · 1 filter
A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing
Chenhao Liu, Zelin Wen, Yan Tong +7
Large-scale radiology data are critical for developing robust medical AI systems. However, sharing such data across hospitals remains heavily constrained by privacy concerns. Exist…
Bipartite Mode Matching for Vision Training Set Search from a Hierarchical Data Server
Yue Yao, Ruining Yang, Tom Gedeon
We explore a situation in which the target domain is accessible, but real-time data annotation is not feasible. Instead, we would like to construct an alternative training set from…
Unsupervised Search for Ethnic Minorities' Medical Segmentation Training Set
Yixiao Chen, Yue Yao, Ruining Yang +3
This article investigates the critical issue of dataset bias in medical imaging, with a particular emphasis on racial disparities caused by uneven population distribution in datase…
Ranked from Within: Ranking Large Multimodal Models Without Labels
Weijie Tu, Weijian Deng, Dylan Campbell +4
Can the relative performance of a pre-trained large multimodal model (LMM) be predicted without access to labels? As LMMs proliferate, it becomes increasingly important to develop…