{"total":17,"rows":[{"id":"2304.14670","title":"Prompt Engineering for Healthcare: Methodologies and Applications","created":"2023-04-28","cited_by_count":52,"area":null},{"id":"2307.13125","title":"Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review","created":"2023-07-24","cited_by_count":48,"area":null},{"id":"2409.10829","title":"ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports","created":"2024-09-17","cited_by_count":9,"area":null},{"id":"2502.19834","title":"Knowledge Bridger: Towards Training-free Missing Modality Completion","created":"2025-02-27","cited_by_count":9,"area":null},{"id":"2508.16783","title":"Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data","created":"2025-08-22","cited_by_count":7,"area":null},{"id":"2410.17918","title":"Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation","created":"2024-10-23","cited_by_count":6,"area":null},{"id":"2509.15711","title":"Toward Medical Deepfake Detection: A Comprehensive Dataset and Novel Method","created":"2025-09-19","cited_by_count":6,"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":"2406.06627","title":"Rapid Review of Generative AI in Smart Medical Applications","created":"2024-06-08","cited_by_count":2,"area":null},{"id":"2409.07012","title":"Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2505.06055","title":"Towards Better Cephalometric Landmark Detection with Diffusion Data Generation","created":"2025-05-09","cited_by_count":2,"area":null},{"id":"2311.01349","title":"Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2609.24879","title":"Generating Chest X-Ray Counterfactuals by Specialising Foundation Image Models","created":"2026-09-21","cited_by_count":1,"area":null},{"id":"2507.01055","title":"Prompt Mechanisms in Medical Imaging: A Comprehensive Survey","created":"2025-06-28","cited_by_count":0,"area":null},{"id":"2509.04819","title":"AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations","created":"2025-09-05","cited_by_count":0,"area":null},{"id":"2602.12004","title":"CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2608.08046","title":"JustLLMGRPO: Radiographic Control for Chest X-Ray Generation","created":"2026-08-08","cited_by_count":0,"area":null}],"next_cursor":null}