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Tingbo Liang

2 accepted papers

2025

Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training

ICCV 2025poster

Vision-language pre-training (VLP) has great potential for developing multifunctional and general medical diagnostic capabilities. However, aligning medical images with a low signal-to-noise ratio (SNR) to reports with a high SNR presents a semantic density gap, leading to visual alignment bias. In…

2025

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding

ICLR 2025spotlight

Artificial intelligence (AI) shows great potential in assisting radiologists to improve the efficiency and accuracy of medical image interpretation and diagnosis. However, a versatile AI model requires large-scale data and comprehensive annotations, which are often impractical in medical settings. R…