7 citations · 11 across the 17 of their papers we have counts for
5 papers · 1 filter
HARE: an entity and relation centric evaluation framework for histopathology reports
Yunsoo Kim, Michal W. S. Ong, Alex Shavick +2
Medical domain automated text generation is an active area of research and development; however, evaluating the clinical quality of generated reports remains a challenge, especiall…
RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze
Yunsoo Kim, Jinge Wu, Honghan Wu
Large Vision-Language Models (LVLMs) have demonstrated promising performance in chest X-ray (CXR) analysis. To enhance human-computer interaction, several studies have incorporated…
BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain
Yunsoo Kim, Yusuf Abdulle, Honghan Wu
Biomedical reasoning often requires traversing interconnected relationships across entities such as drugs, diseases, and proteins. Despite the increasing prominence of large langua…
Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation
Yunsoo Kim, Jinge Wu, Su-Hwan Kim +3
Recent advancements in multimodal Large Language Models (LLMs) have significantly enhanced the automation of medical image analysis, particularly in generating radiology reports fr…
IHC-LLMiner: Automated extraction of tumour immunohistochemical profiles from PubMed abstracts using large language models
Yunsoo Kim, Michal W. S. Ong, Daniel W. Rogalsky +3
Immunohistochemistry (IHC) is essential in diagnostic pathology and biomedical research, offering critical insights into protein expression and tumour biology. This study presents…