Radiology Report Generation via Self‐Critical Multisource Knowledge Reasoning With Large Language Models

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Generating Radiology Reports via Memory-driven Transformer

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Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

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Cross-modal Memory Networks for Radiology Report Generation

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Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

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Knowledge matters: Chest radiology report generation with general and specific knowledge

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R2GenGPT: Radiology Report Generation with frozen LLMs

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Evaluating progress in automatic chest X-ray radiology report generation

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Collaboration between clinicians and vision–language models in radiology report generation

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METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens

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Automated radiology report generation using conditioned transformers

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Improving chest X-ray report generation by leveraging warm starting

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A Self-boosting Framework for Automated Radiographic Report Generation

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A Medical Semantic-Assisted Transformer for Radiographic Report Generation

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Bootstrapping Large Language Models for Radiology Report Generation

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From vision to text: A comprehensive review of natural image captioning in medical diagnosis and radiology report generation

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Contestable AI needs Computational Argumentation

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KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models

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Data augmentation with attention framework for robust deepfake detection

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RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational AssistancePreprint

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Diff-RRG: Longitudinal Disease-Wise Patch Difference as Guidance for LLM-Based Radiology Report Generation

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Machine Learning and Knowledge Graphs: Existing Gaps and Future Research Challenges

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Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection

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Argumentative review aggregation and dialogical explanations

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Chestxgen: Dynamic Memory-Augmented Vision-Language Transformer with Context-Aware Gating for Radiology Report Generation

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TRRG: Towards Truthful Radiology Report Generation With Cross-Modal Disease Clue Enhanced Large Language Models

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Detecting temporal clinical change in sequential chest radiography reports: a multi-model and multi-prompt evaluation of large language models

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