We collect existing papers on radiology report generation published in prominent conferences and journals. If you find this helpful, we kindly ask that you consider citing the following reference.
@misc{cvpr-2025-mlrg,
title={Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation},
author={Kang Liu and Zhuoqi Ma and Xiaolu Kang and Yunan Li and Kun Xie and Zhicheng Jiao and Qiguang Miao},
year={2025},
eprint={2502.20056},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2502.20056},
}
- CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation (arXiv'2401) [paper][code]
- XrayGPT: Chest Radiographs Summarization using Large Medical Vision-Language Models (ACLW'24)[paper][code]
- Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training (ICML'24) [paper][code]
- A generalist vision--language foundation model for diverse biomedical tasks (Nature Medicine'24)[paper][code]
- ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training (arXiv'2311)[paper][code]
- CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training (MICCAI'23)[paper][code]
- GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition (ICCV'21)[paper][code]
- CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images (arXiv'2310)[paper][code]
- LLaVA-OneVision: Easy Visual Task Transfer (arXiv'2408)[paper][code]
- Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity (arXiv'2410) [paper]
- MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging (arXiv'2410)[paper]
- BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs (ICLR'24)[paper][code]
- Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning (NIPS'24) [paper]
Nature Medicine'25
Nature Communications'25
- Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation [paper]
- A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings [paper][code]
TPAMI'25
- Diagnostic Captioning by Cooperative Task Interactions and Sample-graph Consistency [paper]
Nature Computational Science'25
- Evaluating and Mitigating Bias in AI-Based Medical Text Generation [paper] [code]
- Toward fair AI-driven medical text generation [paper]
CVPR'25
- Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation [paper] [code]
- FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models [paper]
- DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation [paper]
- CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset [paper][code]
- VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge [paper][code]
- Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation [paper][code]
AAAI'25
- Radiology Report Generation via Multi-objective Preference Optimization [paper]
- HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation [paper][code]
- LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts [paper][code]
- MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation [paper][code]
- Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach [paper][code]
- DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching [paper]
ICML'25
ACL'25
- RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection [paper][code]
- Libra: Leveraging Temporal Images for Biomedical Radiology Analysis [paper][code]
COLING'25
- KIA: Knowledge-Guided Implicit Vision-Language Alignment for Chest X-Ray Report Generation [paper]
- CmEAA: Cross-modal Enhancement and Alignment Adapter for Radiology Report Generation [paper]
NAACL'25
- DDGIP: Radiology Report Generation Through Disease Description Graph and Informed Prompting [paper]
- VividMed: Vision Language Model with Versatile Visual Grounding for Medicine [paper][code]
- Fact-aware multimodal retrieval augmentation for accurate medical radiology report generation [paper][code]
ICASSP'25
- A Novel Single Continuous Shot Multiple Lesions Endoscopy Report Generation [paper]
- CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation [paper][code]
ISBI'25
- R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation [paper][code]
- Prompt-Guided Radiology Report Generation Utilizing SAM [paper]
Radiology'25
- Privacy-ensuring Open-weights Large Language Models Are Competitive with Closed-weights GPT-4o in Extracting Chest Radiography Findings from Free-Text Reports [paper]
- Diagnostic accuracy and clinical value of a domain-specific multimodal generative AI model for chest radiograph report generation [paper]
- RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration [paper]
TMM'25
- Adaptive Medical Topic Learning for Enhanced Fine-grained Cross-modal Alignment in Medical Report Generation[paper]
TIP'25
TMI'25
- Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray Report Generation [paper][code]
- Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation [paper][code]
- Large Language Model with Region-guided Referring and Grounding for CT Report Generation [[paper][code]
MedIA'25
Information Fusion'25
- Enhancing discriminative ability in multimodal LLMs: A contrastive learning approach for CT report generation [paper]
ESWA'25
- Recalibrated cross-modal alignment network for radiology report generation with weakly supervised contrastive learning [paper]
- HKRG: Hierarchical knowledge integration for radiology report generation [paper][code]
- RRGMambaFormer: A hybrid Transformer-Mamba architecture for radiology report generation [paper][code]
KBS'25
- Context-enhanced framework for medical image report generation using multimodal contexts [paper][code]
- Abnormal-region-aware Multi-modal Feature Fusion for medical report generation [paper]
JBHI'25
- Adapter-Enhanced Hierarchical Cross-Modal Pre-training for Lightweight Medical Report Generation [paper][code]
- Benchmarking Radiology Report Generation from Noisy Free-Texts [paper]
Pattern Recognition Letters'25
- Integrating clinical knowledge and imaging for medical report generation [paper]
WWW Companion'25
- Diversity-Augmented Diffusion Network With LLM Assistance For Radiology Report Generation [paper]
arXiv'25
- GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation [paper]
- Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation [paper][code]
- RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment [paper]
- MedRAX: Medical Reasoning Agent for Chest X-ray [paper][code]
- Libra: Leveraging Temporal Images for Biomedical Radiology Analysis [paper][code]
- On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation [paper]
- CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding [paper]
- CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback [paper]
- GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report Evaluation [paper]
- DAgent: A Relational Database-Driven Data Analysis Report Generation Agent [paper]
- LVMedR2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation [paper]
- MedM-VL: What Makes a Good Medical LVLM? [paper][code]
- Leveraging LLMs for Multimodal Retrieval-Augmented Radiology Report Generation via Key Phrase Extraction [paper]
- DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning [paper]
- DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation [paper]
- CRG Score: A Distribution-Aware Clinical Metric for Radiology Report Generation [paper]
- Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation [paper]
- MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation [paper]
- CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models [paper]
- ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification [paper]
- MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation [paper]
- Large-scale Chest Disease Diagnosis Enabled by Multimodal Large Language Models with Self-Supervised Fine-Tuning [paper]
- RadRevise: A Benchmark Dataset for Instruction-Based Radiology Report Editing [paper]
- Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages [paper]
- AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation [paper][code]
- DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation [paper][code]
- CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection [paper]
- Describe Anything in Medical Images [paper]
- A Multimodal Multi-Agent Framework for Radiology Report Generation [paper]
- Ultrasound Report Generation with Multimodal Large Language Models for Standardized Texts [paper]
- CorBenchX: Large-Scale Chest X-Ray Error Dataset and Vision–Language Model Benchmark for Report Error Correction [paper][code]
- Online Iterative Self-Alignment for Radiology Report Generation [paper]
- CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays [paper][code]
- CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation [paper]
- Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports [paper]
Nature Medicine'24
- Collaboration between clinicians and vision–language models in radiology report generation [paper]
- A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks [paper][code]
NEJM AI'24
AAAI'24
- Automatic Radiology Reports Generation via Memory Alignment Network [paper]
- PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation [paper][code]
- Bootstrapping Large Language Models for Radiology Report Generation [paper] [code]
CVPR'24
- Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation [paper] [code]
- AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval [paper] [[code]]
- InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation (Workshop) [paper][code]
- MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant [paper]
ACL'24
- DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation [paper][code]
- SICAR at RRG2024: GPU Poor’s Guide to Radiology Report Generation [paper]
- BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation [paper]
- CID at RRG24: Attempting in a Conditionally Initiated Decoding of Radiology Report Generation with Clinical Entities [paper]
- RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports [paper][code]
- MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering [paper][code]
- Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation [paper]
ICLR'24
NIPS'24
- BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays [paper][code]
- JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging (NIPS Workshop)[paper]
- Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling (NIPS Workshop)[paper]
- Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE [paper][code]
- MediQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning [paper][code]
ACM MM'24
- Medical Report Generation via Multimodal Spatio-Temporal Fusion [paper]
- Diffusion Networks with Task-Specific Noise Control for Radiology Report Generation [paper]
- Divide and Conquer: Isolating Normal-Abnormal Attributes in Knowledge Graph-Enhanced Radiology Report Generation [paper][code]
- In-context Learning for Zero-shot Medical Report Generation [paper]
ECCV'24
- HERGen: Elevating Radiology Report Generation with Longitudinal Data [paper] [code]
- Contrastive Learning with Counterfactual Explanations for Radiology Report Generation [paper]
- ChEX: Interactive Localization and Region Description in Chest X-rays[paper][code]
- MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks[paper][code]
EMNLP'24
- ICON: Improving Inter-Report Consistency of Radiology Report Generation via Lesion-aware Mix-up Augmentation [paper] [code]
- Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning [paper]
MICCAI'24
- Textual Inversion and Self-supervised Refinement for Radiology Report Generation [paper] [[code]]
- Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation [paper] [code]
- CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging [paper] [code]
- WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images [paper][code]
- HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction [paper][data].
- Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation [paper]
- MRScore: Evaluating Medical Report with LLM-Based Reward System [paper]
- Energy-Based Controllable Radiology Report Generation with Medical Knowledge [paper]
- GMoD: Graph-driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation [paper][code]
- TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation (MICCAI Workshop)[paper][code]
- Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation [paper]
- KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models [paper]
- Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation [paper]
CIKM'24
- CLR2G: Cross-modal Contrastive Learning on Radiology Report [paper]
ICASSP'24
- Improving Radiology Report Generation with D2-Net: When Diffusion Meets Discriminator [paper]
WACV'24
- Complex Organ Mask Guided Radiology Report Generation [paper][code]
- CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs [paper][code]
ACCV'24
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation [paper][code]
ML4H'24
- MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting [paper]
MedIA'24
- From Vision to Text: A Comprehensive Review of Natural Image Captioning in Medical Diagnosis and Radiology Report Generation [paper]
- Enhancing the vision–language foundation model with key semantic knowledge-emphasized report refinement [paper]
- DACG: Dual Attention and Context Guidance Model for Radiology Report Generation [paper][code]
- Dual-Modality Visual Feature Flow for Medical Report Generation [paper]
TMI'24
- Multi-grained Radiology Report Generation with Sentence-level Image-language Contrastive Learning [paper] [[code]]
- SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation [paper][[code]]
- PhraseAug: An Augmented Medical Report Generation Model with Phrasebook [paper] [[code]]
- Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting [paper] [code]
- An Organ-aware Diagnosis Framework for Radiology Report Generation [paper]
- Attribute Prototype-guided Iterative Scene Graph for Explainable Radiology Report Generation [paper]
- A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images with Multi-Relationship Graph Learning [paper]
- LHR-RFL: Linear Hybrid-Reward based Reinforced Focal Learning for Automatic Radiology Report Generation [paper]
- Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation [paper][code]
TMM'24
- Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency [paper][[code]]
- Multi-Level Objective Alignment Transformer for Fine-Grained Oral Panoramic X-Ray Report Generation [paper][[code]]
-
- Knowledge-guided Cross-modal Alignment and Progressive Fusion for Chest X-ray Report Generation [paper]
JBHI'24
- CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation [paper] [code]
- TSGET: Two-Stage Global Enhanced Transformer for Automatic Radiology Report Generation [paper] [code]
- Eye Gaze Guided Cross-Modal Alignment Network for Radiology Report Generation [paper]
Expert Systems with Applications'24
- CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions [paper][code]
- ChatGPT based contrastive learning for radiology report summarization [paper][code]
Knowledge-Based Systems'24
- Automatic medical report generation combining contrastive learning and feature difference [paper]
- Context-enhanced framework for medical image report generation using multimodal contexts [paper][[code]
Neurocomputing'24
- Improving radiology report generation with multi-grained abnormality prediction [paper]
- An open chest X-ray dataset with benchmarks for automatic radiology report generation in French [paper][data]
- Trust it or not: Confidence-guided automatic radiology report generation [paper]
- VG-CALF: A vision-guided cross-attention and late-fusion network for radiology images in medical visual question answering [paper]
Academic Radiology'24
- Practical Evaluation of ChatGPT Performance for Radiology Report Generation [paper]
Radiology'24
- Constructing a Large Language Model to Generate Impressions from Findings in Radiology Reports [paper]
- Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports [paper]
IEEE Transactions on Emerging Topics in Computational Intelligence'24
- End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation [paper]
arXiv papers'24
- Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation [paper] [code]
- FITA: Fine-grained Image-Text Aligner for Radiology Report Generation [paper] [[code]]
- GREEN: Generative Radiology Report Evaluation and Error Notation [paper] [[code]]
- CheXpert Plus: Hundreds of Thousands of Aligned Radiology Texts, Images and Patients [paper] [code]
- Topicwise Separable Sentence Retrieval for Medical Report Generation [paper] [[code]]
- Dia-LLaMA: Towards Large Language Model-driven CT Report Generation [paper] [[code]]
- MAIRA-2: Grounded Radiology Report Generation [paper][[code]]
- Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images [paper]
- The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It [paper][code]
- Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary [paper]
- Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation [paper]
- X-ray Made Simple: Radiology Report Generation and Evaluation with Layman's Terms [paper]
- Multi-modal vision-language model for generalizable annotation-free pathology localization and clinical diagnosis [paper][code]
- Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation [paper]]
- R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation [paper][code]
- Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation [paper]
- M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation [paper]
- Medical Report Generation Is A Multi-label Classification Problem [paper]
- KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models [paper]
- Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings [paper]
- SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation [paper]
- Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation [paper]
- CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset [paper][code]
- 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models [paper]
- Image-aware Evaluation of Generated Medical Reports [paper]
- Text-Enhanced Medical Visual Question Answering [paper]
- MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models [paper][code]
- R2GEN-MAMBA:ASELECTIVESTATESPACEMODELFORRADIOLOGYREPORT GENERATION [paper][code]
- Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs[paper][code]
- Diff-CXR: Report-to-CXR generation through a disease-knowledge enhanced diffusion model [paper]
- FINE-GRAINED VERIFIERS: PREFERENCE MODELING AS NEXT-TOKEN PREDICTION IN VISION-LANGUAGE ALIGNMENT [paper]
- Decoding Report Generators: A Cyclic Vision-Language Adapter for Counterfactual Explanations [paper]
- MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation [paper][code]
- Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts [paper]
- MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models [paper]
- TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model [paper]
- ORID: Organ-Regional Information Driven Framework for Radiology Report Generation [paper]
- ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation [paper][code]
- Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs [paper][code]
- LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation [paper]
- Large Language Model with Region-guided Referring and Grounding for CT Report Generation [[paper]
- Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation [paper]
- MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement [paper]
- MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization [paper][code]
- Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation [paper]
- Foundation Models in Radiology: What, How, When, Why and Why Not [paper]
- A Generalist Learner for Multifaceted Medical Image Interpretation [paper]
- M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation [paper]
- The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports [paper]
- DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching [paper]
- X-ray Made Simple: Radiology Report Generation and Evaluation with Layman’s Terms [paper][code]
ICLR'23
AAAI'23
CVPR'23
- KiUT: Knowledge-injected U-Transformer for Radiology Report Generation [paper] [[code]]
- METransformer: Radiology report generation by transformer with multiple learnable expert tokens [paper][[code]]
- Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation [paper] [code]
- Interactive and Explainable Region-guided Radiology Report Generation [paper][code]
ICCV'23
- Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation [paper]
ACL'23
EMNLP'23
- RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning [paper] [code]
- Normal-Abnormal Decoupling Memory for Medical Report Generation [paper] [code]
- Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting [paper] [[code]]
- PhenotypeCLIP: Phenotype-based Contrastive Learning for Medical Imaging Report Generation [paper]
MICCAI'23
BIBM'23
ML4H'23
ICASSP'23
- Improving Radiology Report Generation with D 2-Net: When Diffusion Meets Discriminator [paper] [[code]]
MedIA'23
TMI'23
- Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation [paper][[code]]
Patterns'23
TMM'23
- From Observation to Concept: A Flexible Multi-view Paradigm for Medical Report Generation [paper] [[code]]
- Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation [paper] [[code]]
Radiology'23
- Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study [paper]
Meta-Radiology'23
arXiv papers'23
- MAIRA-1: A specialised large multimodal model for radiology report generation [paper] [[code]]
- Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation [paper][code]
AAAI'22
- Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation [paper] [[code]]
ACL'22
MICCAI'22
- A Medical Semantic-Assisted Transformer for Radiographic Report Generation [paper] [code]
- CheXRelNet An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays [paper][code]
Nature Machine Intelligence'22
- Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports [paper][code]
MedIA'22
- Knowledge matters: Chest radiology report generation with general and specific knowledge [paper] [code]
TMI'22
- Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach [paper] [[code]]
ACL'21
EMNLP'21
NAACL'21
- Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation [paper] [code]
AAAI'20
EMNLP'20
- A Systematic Review of Deep Learning-based Research on Radiology Report Generation (arXiv 2311) [paper]
- A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data (arXiv 2405) [paper]
- Automated Radiology Report Generation: A Review of Recent Advances (IEEE Reviews in Biomedical Engineering'24) [paper]
- From Vision to Text: A Comprehensive Review of Natural Image Captioning in Medical Diagnosis and Radiology Report Generation (Medical Image Analysis'24)[paper]
- Automatic Medical Report Generation: Methods and Applications (arXiv'2408) [paper]
- Automatic medical report generation based on deep learning: A state of the art survey (Computerized Medical Imaging and Graphics'25)[paper]
- A survey of deep-learning-based radiology report generation using multimodal inputs (Medical Image Analysis'25)[paper]
- MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs (MIMIC-CXR) [paper][data].
- Preparing a collection of radiology examinations for distribution and retrieval (IU X-ray) [paper][data].
- Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays (MIMIC-ABN) [paper][code]
- An efficient but effective writer: Diffusion-based semi-autoregressive transformer for automated radiology report generation (XRG-COVID-19) [paper][data].
- HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction (HistGen WSI) [paper][data].
- CheXpert Plus: Hundreds of Thousands of Aligned Radiology Texts, Images and Patients (CheXpert Plus) [paper] [data]
- CXR-PRO: MIMIC-CXR with Prior References Omitted (CXR-PRO) [data]
- MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing (MS-CXR) [data]
- EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images (EHRXQA)[paper][code][data]
- MIMIC-Ext-MIMIC-CXR-VQA: A Complex, Diverse, And Large-Scale Visual Question Answering Dataset for Chest X-ray Images (MIMIC-Ext-MIMIC-CXR-VQA)[code][data]
- MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing (MS-CXR-T)[data]
- CAD-Chest: Comprehensive Annotation of Diseases based on MIMIC-CXR Radiology Report (CAD-Chest)[data][paper][code]
- VinDr-CXR: An open dataset of chest X-rays with radiologist annotations (VinDr-CXR)[data]
- Chest ImaGenome Dataset (ImaGenome) [data]
- Interpretable medical image Visual Question Answering via multi-modal relationship graph learning (Medical-CXR-VQA) [MedIA'24][code]
- Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question Answering on Chest X-Ray Images (Medical-Diff-VQA) [data][code]
- ReXPref-Prior: A MIMIC-CXR Preference Dataset for Reducing Hallucinated Prior Exams in Radiology Report Generation (ReXPref-Prior)[data]
- An open chest X-ray dataset with benchmarks for automatic radiology report generation in French (CASIA-CXR) [Neurocomputing'24] [data][paper]
- PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology (WSI-VQA)[arXiv'2401][paper][data]
- MIMIC-Eye: Integrating MIMIC Datasets with REFLACX and Eye Gaze for Multimodal Deep Learning Applications (MIMIC-Eye)[data][code]
- PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation (PadChest-GR)[data][paper]
- GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis (GEMeX)[paper][project]
- Computed-Tomography-Report-Generation-Datasets (CTRG), including CTRG-Brain-263K and CTRG-Chest-548K [data]
- Multi-view CXR: A large-scale multi-view benchmark for chest X-ray report generation (Multi-view CXR) [data][paper]
- CheXmask Database: a large-scale dataset of anatomical segmentation masks for chest x-ray images (CheXmask)[data]
- LLaVA-Rad MIMIC-CXR [data]
- RaDialog Instruct Dataset [data][paper]
- M3D-Cap [data]
- ReXErr-v1: Clinically Meaningful Chest X-Ray Report Errors Derived from MIMIC-CXR [data]
- ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports [paper][data]
- FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores (arXiv'2405) [paper][code]
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation (EMNLP'23) [paper][code]
- DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation (ACL'24) [paper][code]
- RaTEScore: A Metric for Radiology Report Generation (EMNLP'24) [paper][code][PyPI]
- GREEN: Generative Radiology Report Evaluation and Error Notation [paper][code]
- When Radiology Report Generation Meets Knowledge Graph (MIRQI) [paper][code]
- Evaluating progress in automatic chest X-ray radiology report generation (RadCliQ)[paper][code]
- Evaluating GPT-4 on Impressions Generation in Radiology Reports (Radiology)[paper]
- ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics (arXiv'2408)[paper]
- MRScore: Evaluating Medical Report with LLM-Based Reward System (MICAAI'24) [paper]
- ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss (arXiv'2411)[paper]
- FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models (arXiv'2411)[paper]
- A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings (CheXprompt)[paper][code]
- Learning to Exploit Temporal Structure for Biomedical Vision–Language Processing (CVPR'23) [paper[code]
- Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models [paper][code]
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