7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2026
M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model
Yihang Liu, Longzhen Yang, Jiaxiong Yang +3
Medical foundation models (MFMs) aim to learn universal representations from multimodal medical images that can generalize effectively to diverse downstream clinical tasks. However…
cs.CV2024★ 7 cited
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis
Congzhen Shi, Ryan Rezai, Jiaxi Yang +2
The rapid advancement of foundation models in medical imaging represents a significant leap toward enhancing diagnostic accuracy and personalized treatment. However, the deployment…