4 citations · 12 across the 5 of their papers we have counts for
5 papers
S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework
Yingshu Li, Yunyi Liu, Zhanyu Wang +4
Radiology report generation (RRG) for diagnostic images, such as chest X-rays, plays a pivotal role in both clinical practice and AI. Traditional free-text reports suffer from redu…
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
Yunyi Liu, Yingshu Li, Zhanyu Wang +4
Automated radiology report generation (R2Gen) has advanced significantly, introducing challenges in accurate evaluation due to its complexity. Traditional metrics often fall short…
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System
Yunyi Liu, Zhanyu Wang, Yingshu Li +4
In recent years, automated radiology report generation has experienced significant growth. This paper introduces MRScore, an automatic evaluation metric tailored for radiology repo…
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation
Ling Yang, Zhanyu Wang, Zhenghao Chen +2
Multimodal Large Language Models (MLLMs) have shown success in various general image processing tasks, yet their application in medical imaging is nascent, lacking tailored models.…
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis
Yingshu Li, Yunyi Liu, Zhanyu Wang +7
This work conducts an evaluation of GPT-4V's multimodal capability for medical image analysis, with a focus on three representative tasks of radiology report generation, medical vi…