{"total":162,"rows":[{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2305.17100","title":"BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks","created":"2023-05-26","cited_by_count":201,"area":"mllm"},{"id":"2301.02228","title":"MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology","created":"2023-01-05","cited_by_count":149,"area":null},{"id":"2304.08295","title":"Interactive and Explainable Region-guided Radiology Report Generation","created":"2023-04-17","cited_by_count":140,"area":null},{"id":"2107.06912","title":"From Show to Tell: A Survey on Deep Learning-based Image Captioning","created":"2021-07-14","cited_by_count":138,"area":null},{"id":"2311.05112","title":"A Survey of Large Language Models in Medicine: Progress, Application, and Challenge","created":"2023-11-09","cited_by_count":124,"area":null},{"id":"2303.10323","title":"Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation","created":"2023-03-18","cited_by_count":118,"area":null},{"id":"2309.09812","title":"R2GenGPT: Radiology Report Generation with Frozen LLMs","created":"2023-09-18","cited_by_count":114,"area":null},{"id":"2304.02211","title":"METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens","created":"2023-04-05","cited_by_count":101,"area":null},{"id":"2201.09405","title":"Improving Chest X-Ray Report Generation by Leveraging Warm Starting","created":"2022-01-24","cited_by_count":95,"area":null},{"id":"2308.12604","title":"PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation","created":"2023-08-24","cited_by_count":95,"area":null},{"id":"2210.12186","title":"Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards","created":"2022-10-21","cited_by_count":83,"area":null},{"id":"2206.14579","title":"Competence-based Multimodal Curriculum Learning for Medical Report Generation","created":"2022-06-24","cited_by_count":76,"area":null},{"id":"2112.15011","title":"Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment","created":"2021-12-30","cited_by_count":73,"area":null},{"id":"2112.15009","title":"Knowledge Matters: Radiology Report Generation with General and Specific Knowledge","created":"2021-12-30","cited_by_count":68,"area":null},{"id":"2203.10095","title":"AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation","created":"2022-03-18","cited_by_count":65,"area":null},{"id":"2306.11345","title":"KiUT: Knowledge-injected U-Transformer for Radiology Report Generation","created":"2023-06-20","cited_by_count":62,"area":null},{"id":"2207.04818","title":"Cross-modal Prototype Driven Network for Radiology Report Generation","created":"2022-07-11","cited_by_count":59,"area":null},{"id":"2404.09516","title":"State Space Model for New-Generation Network Alternative to Transformers: A Survey","created":"2024-04-15","cited_by_count":59,"area":null},{"id":"2208.10358","title":"A Medical Semantic-Assisted Transformer for Radiographic Report Generation","created":"2022-08-22","cited_by_count":44,"area":null},{"id":"2405.10842","title":"Automated Radiology Report Generation: A Review of Recent Advances","created":"2024-05-17","cited_by_count":43,"area":null},{"id":"2306.06466","title":"ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning","created":"2023-06-10","cited_by_count":42,"area":null},{"id":"2310.20381","title":"A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis","created":"2023-10-31","cited_by_count":37,"area":null},{"id":"2306.08749","title":"Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports","created":"2023-06-14","cited_by_count":35,"area":null},{"id":"2410.00379","title":"CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset","created":"2024-10-01","cited_by_count":35,"area":null},{"id":"2407.15158","title":"HERGen: Elevating Radiology Report Generation with Longitudinal Data","created":"2024-07-21","cited_by_count":33,"area":null},{"id":"2205.04766","title":"Explainable Deep Learning Methods in Medical Image Classification: A Survey","created":"2022-05-10","cited_by_count":32,"area":null},{"id":"2303.11224","title":"Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis","created":"2023-03-20","cited_by_count":32,"area":"diffusion"},{"id":"2204.11964","title":"SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text","created":"2022-04-25","cited_by_count":30,"area":null},{"id":"2310.17811","title":"Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting","created":"2023-10-26","cited_by_count":29,"area":null},{"id":"2403.04945","title":"MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation","created":"2024-03-07","cited_by_count":29,"area":null},{"id":"2406.11451","title":"CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation","created":"2024-06-17","cited_by_count":25,"area":"lr"},{"id":"2206.01988","title":"Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation","created":"2022-06-04","cited_by_count":24,"area":null},{"id":"2303.15932","title":"Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation","created":"2023-03-28","cited_by_count":23,"area":null},{"id":"2310.05881","title":"Controllable Chest X-Ray Report Generation from Longitudinal Representations","created":"2023-10-09","cited_by_count":23,"area":null},{"id":"2402.02045","title":"MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning","created":"2024-02-03","cited_by_count":23,"area":null},{"id":"2211.01412","title":"CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation","created":"2022-11-02","cited_by_count":22,"area":null},{"id":"2305.07920","title":"Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training","created":"2023-05-13","cited_by_count":22,"area":"mllm"},{"id":"2310.13864","title":"RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning","created":"2023-10-21","cited_by_count":22,"area":null},{"id":"2311.02329","title":"Complex Organ Mask Guided Radiology Report Generation","created":"2023-11-04","cited_by_count":22,"area":null},{"id":"2401.02797","title":"PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging","created":"2024-01-05","cited_by_count":22,"area":"mllm"},{"id":"2409.16603","title":"Overview of the First Shared Task on Clinical Text Generation: RRG24 and \"Discharge Me!\"","created":"2024-09-25","cited_by_count":20,"area":null},{"id":"2410.02331","title":"Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks","created":"2024-10-03","cited_by_count":18,"area":null},{"id":"2412.02621","title":"Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions","created":"2024-12-03","cited_by_count":18,"area":null},{"id":"2412.13558","title":"Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation","created":"2024-12-18","cited_by_count":18,"area":"mllm"},{"id":"2207.01208","title":"Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation","created":"2022-07-04","cited_by_count":17,"area":null},{"id":"2204.12406","title":"A survey on attention mechanisms for medical applications: are we moving towards better algorithms?","created":"2022-04-26","cited_by_count":15,"area":null},{"id":"2206.09378","title":"A Self-Guided Framework for Radiology Report Generation","created":"2022-06-19","cited_by_count":15,"area":null},{"id":"2303.09117","title":"Cross-Modal Causal Intervention for Medical Report Generation","created":"2023-03-16","cited_by_count":15,"area":null},{"id":"2209.13171","title":"RepsNet: Combining Vision with Language for Automated Medical Reports","created":"2022-09-27","cited_by_count":14,"area":null},{"id":"2211.12148","title":"Aligning Source Visual and Target Language Domains for Unpaired Video Captioning","created":"2022-11-22","cited_by_count":14,"area":null},{"id":"2310.05242","title":"ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data","created":"2023-10-08","cited_by_count":14,"area":null},{"id":"2311.14199","title":"A Systematic Review of Deep Learning-based Research on Radiology Report Generation","created":"2023-11-23","cited_by_count":14,"area":null},{"id":"2211.13229","title":"DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis","created":"2022-11-12","cited_by_count":13,"area":null},{"id":"2405.00716","title":"Large Language Models in the Clinic: A Comprehensive Benchmark","created":"2024-04-25","cited_by_count":13,"area":null},{"id":"2505.14318","title":"RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection","created":"2025-05-20","cited_by_count":13,"area":null},{"id":"2408.09743","title":"R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation","created":"2024-08-19","cited_by_count":12,"area":null},{"id":"2404.00588","title":"Memory-based Cross-modal Semantic Alignment Network for Radiology Report Generation","created":"2024-03-31","cited_by_count":11,"area":null},{"id":"2405.09586","title":"Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation","created":"2024-05-15","cited_by_count":11,"area":null},{"id":"2411.12195","title":"A Survey of Medical Vision-and-Language Applications and Their Techniques","created":"2024-11-19","cited_by_count":11,"area":null},{"id":"2210.10914","title":"Prophet Attention: Predicting Attention with Future Attention for Image Captioning","created":"2022-10-19","cited_by_count":10,"area":null},{"id":"2304.09185","title":"Token Imbalance Adaptation for Radiology Report Generation","created":"2023-04-18","cited_by_count":10,"area":null},{"id":"2106.10887","title":"Trust It or Not: Confidence-Guided Automatic Radiology Report Generation","created":"2021-06-21","cited_by_count":9,"area":null},{"id":"2208.06643","title":"Recent Progress in Transformer-based Medical Image Analysis","created":"2022-08-13","cited_by_count":9,"area":null},{"id":"2306.05642","title":"Customizing General-Purpose Foundation Models for Medical Report Generation","created":"2023-06-09","cited_by_count":9,"area":null},{"id":"2307.07049","title":"MegaWika: Millions of reports and their sources across 50 diverse languages","created":"2023-07-13","cited_by_count":9,"area":null},{"id":"2407.03919","title":"MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks","created":"2024-07-04","cited_by_count":9,"area":null},{"id":"2504.11786","title":"DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation","created":"2025-04-16","cited_by_count":9,"area":null},{"id":"2302.04001","title":"Leveraging Summary Guidance on Medical Report Summarization","created":"2023-02-08","cited_by_count":8,"area":null},{"id":"2407.14474","title":"Contrastive Learning with Counterfactual Explanations for Radiology Report Generation","created":"2024-07-19","cited_by_count":8,"area":null},{"id":"2505.03401","title":"DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation","created":"2025-05-06","cited_by_count":8,"area":null},{"id":"2211.11380","title":"Self adaptive global-local feature enhancement for radiology report generation","created":"2022-11-21","cited_by_count":7,"area":null},{"id":"2404.17926","title":"Pre-training on High Definition X-ray Images: An Experimental Study","created":"2024-04-27","cited_by_count":7,"area":null},{"id":"2409.05370","title":"KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models","created":"2024-09-09","cited_by_count":7,"area":"lr"},{"id":"2409.13321","title":"SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation","created":"2024-09-20","cited_by_count":7,"area":null},{"id":"2508.09566","title":"A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation","created":"2025-08-13","cited_by_count":7,"area":null},{"id":"2405.12833","title":"A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data","created":"2024-05-21","cited_by_count":6,"area":null},{"id":"2409.15574","title":"Clinical-grade Multi-Organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model","created":"2024-09-23","cited_by_count":6,"area":"mllm"},{"id":"2505.17436","title":"Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning","created":"2025-05-23","cited_by_count":6,"area":"mllm"},{"id":"2206.05311","title":"Graph-in-Graph Network for Automatic Gene Ontology Description Generation","created":"2022-06-10","cited_by_count":5,"area":null},{"id":"2306.06494","title":"Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark","created":"2023-06-10","cited_by_count":5,"area":"mllm"},{"id":"2312.02233","title":"MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation","created":"2023-12-04","cited_by_count":5,"area":"mllm"},{"id":"2312.03013","title":"Breast Ultrasound Report Generation using LangChain","created":"2023-12-05","cited_by_count":5,"area":null},{"id":"2405.04175","title":"Topicwise Separable Sentence Retrieval for Medical Report Generation","created":"2024-05-07","cited_by_count":5,"area":null},{"id":"2410.15702","title":"Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding","created":"2024-10-21","cited_by_count":5,"area":null},{"id":"2506.15477","title":"Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning","created":"2025-06-18","cited_by_count":5,"area":"mllm"},{"id":"2511.12259","title":"A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation","created":"2025-11-15","cited_by_count":5,"area":null},{"id":"2208.10847","title":"Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond","created":"2022-08-23","cited_by_count":4,"area":null},{"id":"2210.16431","title":"DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention","created":"2022-10-28","cited_by_count":4,"area":null},{"id":"2305.16685","title":"Act Like a Radiologist: Radiology Report Generation across Anatomical Regions","created":"2023-05-26","cited_by_count":4,"area":null},{"id":"2307.12526","title":"Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph","created":"2023-07-24","cited_by_count":4,"area":null},{"id":"2411.15413","title":"FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation","created":"2024-11-23","cited_by_count":4,"area":null},{"id":"2412.14535","title":"DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching","created":"2024-12-19","cited_by_count":4,"area":null},{"id":"2505.13081","title":"Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning","created":"2025-05-19","cited_by_count":4,"area":"lr"},{"id":"2506.17562","title":"LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning","created":"2025-06-21","cited_by_count":4,"area":null},{"id":"2508.03426","title":"R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation","created":"2025-08-05","cited_by_count":4,"area":null},{"id":"2512.16145","title":"MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generation","created":"2025-12-18","cited_by_count":4,"area":null},{"id":"2210.13729","title":"Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty","created":"2022-10-14","cited_by_count":3,"area":null},{"id":"2211.13465","title":"On the Importance of Image Encoding in Automated Chest X-Ray Report Generation","created":"2022-11-24","cited_by_count":3,"area":null},{"id":"2311.00399","title":"Enhanced Knowledge Injection for Radiology Report Generation","created":"2023-11-01","cited_by_count":3,"area":null}],"next_cursor":"100"}