{"total":16,"rows":[{"id":"2509.18030","title":"RadEval: A framework for radiology text evaluation","created":"2025-09-22","cited_by_count":22,"area":null},{"id":"2506.04353","title":"ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding","created":"2025-06-04","cited_by_count":20,"area":null},{"id":"2603.06183","title":"CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation","created":"2026-03-06","cited_by_count":9,"area":null},{"id":"2505.10496","title":"CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs","created":"2025-05-15","cited_by_count":5,"area":null},{"id":"2604.09450","title":"ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion","created":"2026-04-10","cited_by_count":4,"area":null},{"id":"2602.22843","title":"A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2509.13270","title":"RadGame: An AI-Powered Platform for Radiology Education","created":"2025-09-16","cited_by_count":1,"area":null},{"id":"2604.04563","title":"Temporal Inversion for Learning Interval Change in Chest X-Rays","created":"2026-04-06","cited_by_count":1,"area":null},{"id":"2604.09887","title":"SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning","created":"2026-04-10","cited_by_count":1,"area":null},{"id":"2606.28393","title":"Transition-Aware best-of-N sampling for Longitudinal Chest X-ray Reports","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2607.05880","title":"Harrison.Rad 1.5 Technical Report: A radiology foundation model that can draft reports from images, priors and clinical context","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.13800","title":"Prospective clinical indication, post-hoc report leakage, and fusion design in multi-image chest radiograph classification: a patient-clustered evaluation","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2607.27235","title":"RadHarmony: Radiological Data Handling in the Era of Agentic AI","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2608.03890","title":"CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2609.19093","title":"Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2610.13059","title":"CliQ-RRG: Clinical-Knowledge Guided Disease-aware Visual-Textual Alignment for QA-Style Radiology Report Generation","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}