Spatio-temporal epidemic forecasting aims to predict future outbreak trajectories across interconnected regions from historical epidemiological observations and meteorological covariates. However, existing approaches often fail to preserve historically salient epidemic states or to fully exploit delayed and region-vary...
Qi Yuan, Han Shu, Yi-Zhi Pan et al.· Tropical Medicine and Infect...· 0 citations
While Large Language Models (LLMs) have revolutionized image captioning, their direct application to radiology report generation (RRG) faces two key challenges: the semantic dilution of lesion features due to indiscriminate global image encoding, and the stylistic drift resulting from LLMs' lack of strict clinical cons...
Guan-Qun Sun, Yun-Bin Tu, Ying-Ying Zhu et al.· Medical Image Analysis· 0 citations
Automated report generation is limited to static, single-image analysis, failing to address the critical clinical need for longitudinal comparison in monitoring disease progression and treatment efficacy. To bridge this gap, we introduce the new task of Change Radiology Report Generation (CRRG) which aims to automatica...
Yizhi Pan, Guanqun Sun, Yingying Zhu et al.· IEEE Transactions on Medical...· 0 citations
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