6 papers
In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task
P. Bilha Githinji, Ijaz Gul, Lian Zhang +3
Confounding pathology with normal anatomical variation remains a significant challenge in unsupervised medical-image anomaly detection, resulting in numerous false positives. To en…
Mapping the maturation of TCM as an adjuvant to radiotherapy
P. Bilha Githinji, Aikaterini Melliou, Xi Yuan +8
The integration of complementary medicine into oncology represents a paradigm shift that has seen to increasing adoption of Traditional Chinese Medicine (TCM) as an adjuvant to rad…
Auditable Context-Aware HFMD Forecasting with Structured LLM Agents
Joongwon Chae, Runming Wang, Chen Xiong +5
Effective HFMD surveillance requires forecasts capturing both time-series patterns and contextual drivers such as school calendars, weather, and policy or surveillance reports. In…
Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification
P. Bilha Githinji, Aikaterini Melliou, Zeming Liang +2
The growing public demand for accessible biomedical information calls for scalable text simplification. While large language models (LLMs) offer solutions, they too struggle with b…
Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt
Joongwon Chae, Lihui Luo, Xi Yuan +4
Accurate tongue segmentation is crucial for reliable TCM analysis. Supervised models require large annotated datasets, while SAM-family models remain prompt-driven. We present Memo…
Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review
Xing Hu, Xiangcheng Liu, Qianqian Duan +5
Hyperspectral image (HSI) analysis plays a critical role in remote sensing, agriculture, and environmental monitoring. However, traditional methods often struggle to handle the hig…