8 papers
CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness
Xinyu Jia, Weidong Guo, Wangyuan Zhao +3
Deep learning models for medical diagnosis frequently exhibit substantial performance disparities across sensitive subgroups (e.g., race, sex), even when average accuracy is high.…
Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data
Shangkun Li, Jie Xu, Yi Guo +2
Medical vision-language models typically generate diagnoses through single-pass inference without indicating which image regions support their conclusions. This lack of spatial gro…
Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
Ziyang Huang, Bingyan Li, Chen Ma +6
Clinicians lack a principled framework to quantify diagnostic utility in ultrasound reconstructions. Existing standards like PSNR and VGG-LPIPS are inadequate, failing to account f…
DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation
Junhu Fu, Ke Chen, Weidong Guo +9
Controllable medical video generation has achieved remarkable progress, but it still lacks interpretability, which requires the alignment of generated contents with physical priors…
EchoAgent: Towards Reliable Echocardiography Interpretation with "Eyes","Hands" and "Minds"
Qin Wang, Zhiqing He, Yu Liu +8
Reliable interpretation of echocardiography (Echo) is crucial for assessing cardiac function, which demands clinicians to synchronously orchestrate multiple capabilities, including…
TinyUSFM: Towards Compact and Efficient Ultrasound Foundation Models
Chen Ma, Jing Jiao, Shuyu Liang +5
Foundation models for medical imaging demonstrate superior generalization capabilities across diverse anatomical structures and clinical applications. Their outstanding performance…