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Ke Zou

2 accepted papers

2025

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis

ICCV 2025poster

Medical Visual Question Answering (Med-VQA) combines computer vision and natural language processing to automatically answer clinical inquiries about medical images. However, current Med-VQA datasets exhibit two significant limitations: (1) they often lack visual and textual explanations for answers…

Cited by 0SourcePDFScholar
2025

LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models

NAACL 2025findings

The prevalence of vision-threatening eye diseases is a significant global burden, with many cases remaining undiagnosed or diagnosed too late for effective treatment. Large vision-language models (LVLMs) have the potential to assist in understanding anatomical information, diagnosing eye diseases, a…

Cited by 6SourcePDFScholar