3 papers
cs.CV2026
Seeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays
Kang Liu, Zhuoqi Ma, Siyu Liang +5
Despite recent advances in medical vision-language pretraining, existing models still struggle to capture the diagnostic workflow: radiographs are typically treated as context-agno…
cs.CV2025
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
Kang Liu, Zhuoqi Ma, Zikang Fang +3
Chest X-ray report generation aims to reduce radiologists' workload by automatically producing high-quality preliminary reports. A critical yet underexplored aspect of this task is…
cs.CV2025
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
Kang Liu, Zhuoqi Ma, Xiaolu Kang +4
Automated radiology report generation offers an effective solution to alleviate radiologists' workload. However, most existing methods focus primarily on single or fixed-view image…