Cover Image

RaTEScore: A Metric for Radiology Report Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Weike, Wu, Chaoyi, Zhang, Xiaoman, Zhang, Ya, Wang, Yanfeng, Xie, Weidi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PhenoLIP: Integrating Phenotype Ontology Knowledge into Medical Vision-Language Pretraining
by: Liang, Cheng, et al.
Published: (2026)

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification
by: Fan, Ziqing, et al.
Published: (2025)

Large-scale Long-tailed Disease Diagnosis on Radiology Images
by: Zheng, Qiaoyu, et al.
Published: (2023)

Towards Building Multilingual Language Model for Medicine
by: Qiu, Pengcheng, et al.
Published: (2024)

Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases
by: Qiu, Pengcheng, et al.
Published: (2025)

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining
by: Zhang, Tengfei, et al.
Published: (2025)

M^3Builder: A Multi-Agent System for Automated Machine Learning in Medical Imaging
by: Feng, Jinghao, et al.
Published: (2025)

Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
by: Zhou, Xiao, et al.
Published: (2024)

An Agentic System for Rare Disease Diagnosis with Traceable Reasoning
by: Zhao, Weike, et al.
Published: (2025)

RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
by: Zhang, Xiaoman, et al.
Published: (2024)

End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning
by: Zheng, Qiaoyu, et al.
Published: (2025)

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
by: Zhang, Xiaoman, et al.
Published: (2023)

Towards Evaluating and Building Versatile Large Language Models for Medicine
by: Wu, Chaoyi, et al.
Published: (2024)

AutoRG-Brain: Grounded Report Generation for Brain MRI
by: Lei, Jiayu, et al.
Published: (2024)

How Well Can Modern LLMs Act as Agent Cores in Radiology Environments?
by: Zheng, Qiaoyu, et al.
Published: (2024)

Large-Vocabulary Segmentation for Medical Images with Text Prompts
by: Zhao, Ziheng, et al.
Published: (2023)

Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
by: Zhang, Xiaoman, et al.
Published: (2024)

RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
by: Pellegrini, Chantal, et al.
Published: (2023)

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
by: Zhang, Xiaoman, et al.
Published: (2024)

Evolving Interactive Diagnostic Agents in a Virtual Clinical Environment
by: Qiu, Pengcheng, et al.
Published: (2025)

EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis
by: Liao, Yusheng, et al.
Published: (2025)

CRG Score: A Distribution-Aware Clinical Metric for Radiology Report Generation
by: Hamamci, Ibrahim Ethem, et al.
Published: (2025)

Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation
by: Dua, Radhika, et al.
Published: (2025)

ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
by: Banerjee, Oishi, et al.
Published: (2024)

MRGen: Segmentation Data Engine for Underrepresented MRI Modalities
by: Wu, Haoning, et al.
Published: (2024)

RadReason: Radiology Report Evaluation Metric with Reasons and Sub-Scores
by: Li, Yingshu, et al.
Published: (2025)

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
by: Baharoon, Mohammed, et al.
Published: (2026)

Automated Structured Radiology Report Generation
by: Delbrouck, Jean-Benoit, et al.
Published: (2025)

Calibrated Confidence Expression for Radiology Report Generation
by: Bani-Harouni, David, et al.
Published: (2026)

Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation
by: Sun, Liwen, et al.
Published: (2024)

Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework
by: Wu, Jinge, et al.
Published: (2024)

Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation
by: Parikh, Aditya, et al.
Published: (2026)

Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach
by: Zhao, Ziheng, et al.
Published: (2025)

CCS: Clinical Consensus Selection for Radiology Report Generation
by: Zhang, Xi, et al.
Published: (2026)

The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
by: Zhang, Erjian, et al.
Published: (2026)

MAIRA-2: Grounded Radiology Report Generation
by: Bannur, Shruthi, et al.
Published: (2024)

X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
by: Zhao, Kun, et al.
Published: (2024)

TAIA: Large Language Models are Out-of-Distribution Data Learners
by: Jiang, Shuyang, et al.
Published: (2024)

Zero-shot Composed Text-Image Retrieval
by: Liu, Yikun, et al.
Published: (2023)

CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
by: He, Jie, et al.
Published: (2025)